ArticlePDF AvailableLiterature Review

Methylphenidate for attention-deficit/hyperactivity disorder in children and adolescents: Cochrane systematic review with meta-analyses and trial sequential analyses of randomised clinical trials

Authors:
  • Scandinavian Journal of Child and Adolescent Psychiatry and Psychology

Abstract

Study question Is methylphenidate beneficial or harmful for the treatment of attention-deficit/hyperactivity disorder (ADHD) in children and adolescents? Methods Electronic databases were searched up to February 2015 for parallel and crossover randomised clinical trials comparing methylphenidate with placebo or no intervention in children and adolescents with ADHD. Meta-analyses and trial sequential analyses (TSA) were conducted. Quality was assessed using GRADE. Teachers, parents, and observers rated ADHD symptoms and general behaviour. Study answer and limitations The analyses included 38 parallel group trials (n=5111, median treatment duration 49 days) and 147 crossover trials (n=7134, 14 days). The average age across all studies was 9.7 years. The analysis suggested a beneficial effect of methylphenidate on teacher rated symptoms in 19 parallel group trials (standardised mean difference (SMD) −0.77, n=1698), corresponding to a mean difference of −9.6 points on the ADHD rating scale. There was no evidence that methylphenidate was associated with an increase in serious adverse events (risk ratio 0.98, nine trials, n=1532; TSA adjusted intervention effect RR 0.91). Methylphenidate was associated with an increased risk of non-serious adverse events (1.29, 21 trials, n=3132; TSA adjusted RR 1.29). Teacher rated general behaviour seemed to improve with methylphenidate (SMD −0.87, five trials, n=668) A change of 7 points on the child health questionnaire (CHQ) has been deemed a minimal clinically relevant difference. The change reported in a meta-analysis of three trials corresponds to a mean difference of 8.0 points on the CHQ (range 0-100 points), which suggests that methylphenidate may improve parent reported quality of life (SMD 0.61, three trials, n=514). 96.8% of trials were considered high risk of bias trials according to the Cochrane guidelines. All outcomes were assessed very low quality according to GRADE. What this study adds The results suggest that among children and adolescents with a diagnosis of ADHD, methylphenidate may improve teacher reported symptoms of ADHD and general behaviour and parent reported quality of life. However, given the risk of bias in the included studies, and the very low quality of outcomes, the magnitude of the effects is uncertain. Methylphenidate is associated with an increased risk of non-serious but not serious adverse events. Funding, competing interests, data sharing Region Zealand Research Foundation and Copenhagen Trial Unit. Competing interests are given in the full paper on bmj.com. Full data are available in the version of this review published in The Cochrane Library.
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open access
For numbered aliations see
end of article.
Correspondence to: O J Storebø
ojst@regionsjaelland.dk
Cite this as: BMJ ;:h
doi: 10.1136/bmj.h5203
Accepted: 13 September 2015
Methylphenidate for attention-decit/hyperactivity disorder in
children and adolescents: Cochrane systematic review with
meta-analyses and trial sequential analyses of randomised
clinical trials
Ole Jakob Storebø,1,2,3 Helle B Krogh,1,2 Erica Ramstad,1,2 Carlos R Moreira-Maia,4
MathildeHolmskov,1 Maria Skoog,5 Trine Danvad Nilausen,1 Frederik L Magnusson,1
Morris Zwi,6 Donna Gillies,7 Susanne Rosendal,8 Camilla Groth,9 Kirsten Buch Rasmussen,1
Dorothy Gauci,10 Richard Kirubakaran,11 Bente Forsbøl,2 Erik Simonsen,1,12 Christian Gluud5,13
ABSTRACT
STUDY QUESTION
Is methylphenidate benecial or harmful for the
treatment of attention-decit/hyperactivity disorder
(ADHD) in children and adolescents?
METHODS
Electronic databases were searched up to February
2015 for parallel and crossover randomised clinical
trials comparing methylphenidate with placebo or no
intervention in children and adolescents with ADHD.
Meta-analyses and trial sequential analyses (TSA)
were conducted. Quality was assessed using GRADE.
Teachers, parents, and observers rated ADHD
symptoms and general behaviour.
STUDY ANSWER AND LIMITATIONS
The analyses included 38 parallel group trials
(n=5111, median treatment duration 49 days) and 147
crossover trials (n=7134, 14 days). The average age
across all studies was 9.7 years. The analysis
suggested a benecial eect of methylphenidate on
teacher rated symptoms in 19 parallel group trials
(standardised mean dierence (SMD) 0.77,
n=1698), corresponding to a mean dierence of 9.6
points on the ADHD rating scale. There was no
evidence that methylphenidate was associated with
an increase in serious adverse events (risk ratio
0.98, nine trials, n=1532; TSA adjusted intervention
eect RR 0.91). Methylphenidate was associated with
an increased risk of non-serious adverse events
(1.29, 21 trials, n=3132; TSA adjusted RR 1.29).
Teacher rated general behaviour seemed to improve
with methylphenidate (SMD 0.87, ve trials, n=668)
A change of 7 points on the child health
questionnaire (CHQ) has been deemed a minimal
clinically relevant dierence. The change reported in
a meta-analysis of three trials corresponds to a mean
dierence of 8.0 points on the CHQ (range 0-100
points), which suggests that methylphenidate may
improve parent reported quality of life (SMD 0.61,
three trials, n=514). 96.8% of trials were considered
high risk of bias trials according to the Cochrane
guidelines. All outcomes were assessed very low
quality according to GRADE.
WHAT THIS STUDY ADDS
The results suggest that among children and
adolescents with a diagnosis of ADHD,
methylphenidate may improve teacher reported
symptoms of ADHD and general behaviour and
parent reported quality of life. However, given the
risk of bias in the included studies, and the very low
quality of outcomes, the magnitude of the eects is
uncertain. Methylphenidate is associated with an
increased risk of non-serious but not serious adverse
events.
FUNDING, COMPETING INTERESTS, DATA SHARING
Region Zealand Research Foundation and Copenhagen
Trial Unit. Competing interests are given in the full
paper on bmj.com. Full data are available in the
version of this review published in The Cochrane
Library.
Introduction
Attention-deficit/hyperactivity disorder (ADHD) is one
of the most commonly diagnosed and treated child-
hood psychiatric disorders,1 with a prevalence of 3.4%.2
It is increasingly seen as a developmental disorder,
which has high comorbidity with other psychiatric dis-
orders.3 Diagnosis is made through recognition of
excessive inattention, hyperactivity, and impulsivity in
children before 12 years of age, which impairs their
functioning or development.4 5
Methylphenidate has been used for the treatment of
ADHD for over 50 years and is now globally the most
common drug treatment for the disorder.6 7 Despite the
WHAT IS ALREADY KNOWN ON THIS TOPIC
Methylphenidate has been used for the treatment of attention-decit/hyperactivity
disorder for over 50 years and is globally the most common treatment for the
disorder
Despite the widespread use of methylphenidate, no comprehensive systematic
reviews of benets and harms have been done
WHAT THIS STUDY ADDS
The results of meta-analyses suggest that methylphenidate may improve teacher
reported ADHD symptoms, teacher reported general behaviour, and parent reported
quality of life among children and adolescents with a diagnosis of ADHD
The low quality of the underpinning evidence means that the magnitude of the
eects is uncertain
Within the short follow-up periods typical of the included trials, there is some
evidence that methylphenidate is associated with increased risk of non-serious
adverse events, such as sleep problems and decreased appetite, but no evidence
that it increases the risk of serious adverse events
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widespread use of methylphenidate no comprehensive
systematic review has been done of both benefits and
harms. Fifteen reviews of the eect of methylphenidate
on the symptoms of ADHD in children and adolescents
have been published.8-22 None of them were conducted
using Cochrane methodology and none prepublished a
peer reviewed protocol. Thirteen did not undertake sub-
group analyses on comorbidity influencing treatment
eects 8-16 18 19 21 22 nor did they control for the treatment
eect on subtypes of ADHD.8 10 11 15-19 21 22 Ten did not con-
sider dosage.9 10 12 13 15 16 18-20 22 Seven meta-analyses com-
bined outcome data across raters and observers8 9 10
15 16 17 20 and eight did not separate outcomes for inatten-
tion and hyperactivity or impulsivity.8 10-13 15 16 22 Nine
failed to present spontaneous adverse events10-16 18 22
and 14 did not report adverse events measured by rating
scales.8 10-22 Eleven reviews 8-14 16 17 21 22 did not follow
‘gold standard’ guidelines—that is, the Cochrane Hand-
book23 or the preferred reporting items for systematic
reviews and meta-analyses (PRISMA) guidelines.24 25
Risk of random errors, risk of bias, and trial quality
were not systematically assessed in 11 reviews.8-17 22
Language bias (exclusion of non-English publications)
was present in four reviews,10 14 19 22 and narrow or unre-
ported search strategies in four reviews8 11 16 20 may have
compromised data collection and, ultimately the
meta-analyses.
To avoid these flaws we conducted a systematic
review of the benefits and harms of methylphenidate in
children and adolescents with ADHD using the
Cochrane Handbook23 and PRISMA guidelines.24 25 This
article presents the results of a systematic review focus-
ing on the benefits and harms of methylphenidate in
randomised clinical trials.26 A second systematic review
will focus on harms in non-randomised studies.27
Methods
We used Cochrane methodology,23 following our pub-
lished protocol.28
Study selection
We included both parallel and crossover randomised
clinical trials comparing all types of methylphenidate
with placebo or no intervention in children and adoles-
cents from 3 to 18 years of age (two trials recruited a
small number of participants aged 19 to 21) with ADHD.
Trials were included irrespective of language, publica-
tion year, publication type, or publication status. After
the exclusion of duplicates and studies not meeting the
inclusion criteria, we obtained full text articles as per
protocol.28
Inclusion criteria
In one trial the diagnosis used for ADHD had to be
determined according to the Diagnostic and Statistical
Manual of Mental Disorders (third edition, third edition
revised, fourth edition, fourth edition revised, or fifth
edition),4 or according to International Classification of
Diseases ninth or 10th revisions (ICD-9 or ICD-10
codes).5 At least 75% of participants had to be aged less
than 19 years and the mean age of the study population
had to be less than 19 years. We included trials in which
participants had comorbidities; however, at least 75%
of the participants were required to have an intellectual
quotient in the normal range (IQ >70).
Search strategy and selection criteria
We searched the Cochrane Central Register of Con-
trolled Trials (The Cochrane Library 2015, Issue 2),
Medline, Embase, CINAHL, PsycINFO, ISI Conference
Proceedings Citation Index, Science and Conference
Proceedings Citation Index-Social Science & Human-
ities (Web of Science), ClincalTrials.gov, and WHO’s
International Clinical Trials Registry Platform up to
February 2015 using two dierent search strategies,
one for ecacy and one for adverse events. The com-
plete search strategy is available in the Cochrane
review.26 We screened reference lists of identified
reviews, meta-analyses, and a selection of included
trials for additional relevant articles. Furthermore, we
contacted pharmaceutical companies, including
Shire, Medice (represented in Denmark by HB
Pharma), Janssen-Cilag, and Novartis for published
and unpublished data. Emails were also sent to
experts in the discipline requesting data on unpub-
lished or ongoing studies.
Outcomes
The primary outcomes were symptoms of ADHD (inat-
tention, hyperactivity, and impulsivity), both short term
(six months or less) and long term (more than six
months), and serious adverse events. We defined the
latter as any event that led to death, was life threaten-
ing, required hospital admission or prolongation of
existing hospital stay, resulted in persistent or major
disability, and any important medical event that may
have jeopardised the participant’s life or required inter-
vention to prevent it. All other adverse events were con-
sidered non-serious.29
Secondary outcomes were non-serious adverse
events, general behaviour, and quality of life. We
assessed all non-serious adverse events, including
growth, cardiological, neurological, gastrointestinal,
and sleep events, and appetite. We rated general
behaviour at school and home using psychometric
validated instruments. Behaviour was classified
according to length of assessment as short (six
months or less) or long term (more than six months).
Quality of life was measured by psychometric vali-
dated instruments.
Patient involvement
No patients were involved in setting the research ques-
tion or the outcome measures, nor were they involved in
the design and implementation of the study. There are
no plans to involve patients in dissemination of the
results.
Data extraction and synthesis
Seventeen reviewers extracted the data independently
in the first of a two phase process.26 In the second
phase, a dierent reviewer checked the extracted data
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and disparities were resolved through discussion
between extractors, or consultation with the first
author (OJS) where consensus was not reached.26 For
additional questions and missing data we contacted
the authors of trials. Furthermore, we contacted all
authors of the crossover trials to obtain data for all
periods of the trial. We used Mendeley and Google
Drive online software programs for data exchange and
storage. Six authors entered the data into Review
Manager 5.3.26
Dichotomous data were summarised as risk ratios
with 95% confidence intervals. We used continuous
data to calculate the mean dierence between groups
(with 95% confidence intervals) if the same measure
was used in all trials, or we calculated the stan-
dardised mean dierence where dierent outcome
measures were used for the same construct in dierent
trials. To assess the minimal clinical relevant dier-
ence, we transformed the standardised mean dier-
ence into mean dierence using scales with published
minimal clinical relevant dierence. To our knowledge
the only published minimal clinical relevant dier-
ence on scales measuring our outcomes are 6.6 points
for the ADHD rating scale (ADHD symptoms, the scale
ranging from 0 to 72 points)30 and 7.0 points for the
child health questionnaire (quality of life, the scale
ranging from 0 to 100).31 Fixed eect and random
effects models were applied and discrepancies
between the results investigated.
Because crossover trials are more prone to bias
owing to carry-over eects, period eects, and errors
in unit of analysis,32 we conducted a subgroup analy-
sis. We analysed data from the first period in cross-
over trials with data from parallel trials. Our original
intent was to adjust for the eect of the unit of analy-
sis error in crossover trials by conducting a covariate
analysis; however, the data were insucient. We
tested for the possibility of a carry-over eect and
period eect and found similar treatment eects in
the parallel group trials plus the first period of the
crossover trials compared to the second period of the
crossover trials. We found no statistically significant
subgroup dierences between the two groups but
high heterogeneity in the subgroup analyses. We
therefore present the analyses separately.
The treatment eect was defined as an improvement
in the symptoms of ADHD, general behaviour, or quality
of life. Teachers, observers, or parents rated symptoms
and general behaviour. We considered these data as dif-
ferent outcomes and teacher rated measures as the pri-
mary outcome because symptoms of ADHD are more
readily detectable in the school setting.33
We used the teacher rated symptoms of ADHD from
parallel group or first period of crossover trials as our
primary analysis to test the robustness of this estimate
with several subgroup analyses:
• Type of scale.
• Dose of methylphenidate (low dose: 20 mg/day or
0.6 mg/kg/day compared to moderate or high dose:
>20 mg/day or >0.6 mg/kg/day).
• Design (parallel group trials compared to first phase
and end of trial of crossover trials).
• Drug status before randomisation—“drug naïve” (if
>80% of participants were naive) compared to
“previous use of drug” (>80% of participants used
the drug previously).
• Risk of bias (low risk of bias trials compared to high
risk of bias trials).
• Age—comparing trials of participants aged 2 to 6
years to those of participants aged 7 to 11 years and to
those aged 12 to 18 years.
• Sex—boys compared to girls.
• Comorbidity—participants with comorbid disorders
compared to participants without comorbid disor-
ders.
• Type of ADHD—predominantly participants with
inattentive type compared to participants with com-
bined type.
• Types of raters—parents compared to observers com-
pared to teachers.
• Trials with cohort selection bias of all participants
compared to trials without cohort selection bias of all
participants.
• Trials using fixed doses compared to trials using ini-
tial titration.
Sensitivity analyses
We conducted sensitivity analyses to ascertain whether
our findings were sensitive to decisions during the
review (for example, our assessment of clinical hetero-
geneity), the combination of both change scores and
end of trial scores in one meta-analysis, and inclusion
of studies with participants of IQ less than 70 or aged
more than 18 years.
Consequently we undertook sensitivity analyses
excluding trials using change scores,34-38 trials with
participants of IQ less than 70,39-42 and trials including
some participants aged more than 18 years.43 44
No valid method exists for combining the results of
trials rated as high risk and low risk of bias.23 We per-
formed sensitivity analyses grouping together the trials
with similar classifications of bias and investigated the
impact on intervention eects.
Trial sequential analysis
A meta-analysis should include a calculation of a
required information size at least as large as the sam-
ple size of an adequately powered single trial to reduce
the risks of random errors, taking into consideration
the heterogeneity of the meta-analysis.45 46 Trial
sequential analysis is a program that calculates the
required information size for a meta-analysis, provid-
ing adjusted statistical thresholds for benefits, harms,
or futility before the required information size is
reached.46-49 Trial sequential analysis can thereby con-
trol the risks of type I and type II errors due to sparse
data and repetitive testing of accumulating data.46-49
Meta-analyses not reaching the required information
size are analysed with trial sequential monitoring
boundaries analogous to interim monitoring boundar-
ies in a single trial, requiring more stringent Z values to
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declare benefits or harms.46 If a trial sequential analy-
sis results in insignificant findings before the required
information size has been reached (no Z curve crossing
of the trial sequential monitoring boundaries), the con-
clusion should be that more trials are needed to either
accept or reject the intervention eect used for calcu-
lating the required sample size. If the cumulated Z
curve enters the futility area, the anticipated interven-
tion eect can be rejected.
For the trial sequential analysis calculations of
binary outcomes we included trials with zero events by
substituting zero with 0.5.46 50
For the outcomes of total number of serious adverse
events and total number of non-serious adverse events,
we calculated the a priori diversity adjusted required
information size (that is, the number of participants
required to detect or reject a specific intervention eect
in the meta-analysis) on the following assump-
tions46-49 51: the proportion of participants in the control
group with adverse events, a relative risk reduction or
increase of 20% (25% for serious adverse events), a type
I error of 5%, a type II error of 20%, and the observed
diversity of the meta-analysis.
Quality of evidence
For each included trial, data extractors independently
evaluated all risk of bias domains (listed below),
resolving any disagreements by discussion. We
assigned each bias domain to one of three categories:
low risk of bias, uncertain risk of bias, or high risk of
bias, according to the Cochrane guidelines.23 Owing to
the risk of overestimation of beneficial intervention
eects and underestimation of harmful intervention
eects in randomised clinical trials with unclear or
high risk of bias,52-58 we assessed the influence of the
risk of bias on our results (see subgroup analyses). We
used the following domains to assess the risk of bias in
the included trials23 59: generation of allocation
sequence, allocation of concealment, blinding of par-
ticipants and sta, blinding of outcome assessors,
incomplete outcome data, selective outcome report-
ing, and vested interest (trial was funded by parties
that might have had a conflict of interest (for example,
a manufacturer of methylphenidate) or there were
potential conflicts of interests among authors because
they had been working for companies producing or
selling methylphenidate, or both). We considered tri-
als with low risk of bias in all domains to be at low risk
of bias and trials with one or more unclear or inade-
quate component to be at high risk of bias. For 32%
(59/185) of the included trials we noted a specific type
of bias occurring before randomisation. Non-respond-
ers to methylphenidate, responders to placebo, or par-
ticipants who had adverse events due to the drug were
excluded as a consequence of exclusion criteria or
after a titration phase. Such trials have limited exter-
nal validity and, to identify whether this cohort selec-
tion bias had an eect on estimates of eects, we did
subgroup analyses (see above).
We assessed and graded the evidence according to
the grading of recommendations assessment, develop-
ment, and evaluation (GRADE) for high risk of bias,
imprecision, indirectness, heterogeneity, and publica-
tion bias.60 The analyses were conducted with Review
Manager 5.3 (Review Manager 2014) and the trial
sequential analysis program.46 50
61
Results
We identified 14 431 records. After removal of dupli-
cates and irrelevant references we retrieved 1461 publi-
cations in full text for assessment of eligibility. Overall
we excluded 691 publications for not meeting the inclu-
sion criteria and eight because they were classified as
either awaiting classification or as ongoing studies. In
this review we included the remaining 761 publications
(69 in non-English languages) describing 185 ran-
domised clinical trials and 243 non-randomised stud-
ies (fig 1 ).62 When information to assess eligibility or
bias was missing or data were missing or unclear we
contacted the authors of the studies. Authors of 161 tri-
als were contacted up to two times and answers were
received for 92 trials.
Of the 185 randomised clinical trials, 38 were parallel
group (n=5111 participants) and 147 were crossover
(n=7134 participants) trials, with a total of 12 245 partic-
ipants. Participants of both sexes were included. Partic-
ipants were aged between 3 and 18 years, but two trials
included a small number of participants aged 19 to 21
years. The mean age was 9.7 years. The majority of these
trials were conducted in high income countries. The
median duration of treatment in the parallel group tri-
als was 49 days (range 1-425 days, mean 75 days) and in
the crossover trials was 14 days (1-56 days, mean 16
days). No parallel group trials and only six crossover
trials (3.2%, 285 participants) seemed to have low risk of
bias in all domains, and accordingly 179 (96.8%) trials
were considered high risk of bias trials. By using
GRADE, we rated the quality of evidence as being very
low for all outcomes.
Symptoms of ADHD
Data on symptoms of ADHD in our analyses were
available from 25 parallel group trials and 74 cross-
over trials (53.0%) reporting on such symptoms. The
results showed an effect of methylphenidate on
teacher rated symptoms in the parallel group trials
(standardised mean dierence 0.77, 95% confidence
interval 0.90 to 0.64, 19 trials, 1698 participants, fig
2 ). This corresponds to a mean dierence of 9.6
points (95% confidence interval 13.75 to 6.38) on
the ADHD rating scale, which was larger than the
minimal clinical relevant dierence of 6.6 points. No
publication bias was detected (Egger’s test P=0.81).
All the trials had high risk of bias, primarily as a result
of vested interest, lack of blinding of participants,
lack of outcome assessor blinding, selective outcome
reporting, or selection bias. Some but not all bias
risks were present in most studies. The result of the
GRADE assessment was “very low quality” owing to
high risks of bias and heterogeneity. The intervention
eect was significantly influenced by choice of scale
(test for subgroup dierences, P=0.006). Long term
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trials had a smaller eect (standardised mean dier-
ence 0.47, 95% confidence interval 0.72 to 0.22,
one trial, 253 participants) compared to short term
trials (0.81, 0.94 to 0.68, 18 trials, 1445 partici-
pants; test for subgroup dierence, P=0.02). Trials
including participants with previous use of drugs
before randomisation resulted in a larger eect (1.06,
1.33 to 0.79, two trials, 286 participants) compared
to trials including participants naive to the drugs
(0.63, 0.94 to 0.31, four trials, 431 participants; test
for subgroup dierence, P=0.04). However, no signif-
icant influences on the observed treatment eects
were found according to dose, trial design, cohort
selection bias (trials with optimal titration, exclusion
of non-responders, placebo responders, or partici-
pants with methylphenidate adverse events before
randomisation) and trials with initial titration or fixed
doses. One trial included in the meta-analysis
reported change from baselines scores37 rather than
endpoint data. Removing this trial did not change the
estimate noticeably.
The end of last period crossover trials also showed
a significant treatment eect, with a standardised
mean dierence of 0.93 (95% confidence interval
1.06 to 0.80, 59 trials, 5145 participants) that was
not significantly influenced by risk of bias (test for
subgroup dierence, P=0.09). The benefit, however,
was significantly greater with higher doses of methyl-
phenidate (0.98, 1.13 to 0.84, 36 trials, 3413 partic-
ipants) compared to low doses (0.73, 0.89 to 0 . 57,
42 trials, 3408 participants; test for subgroup dier-
ence, P=0.02). Three trials included participants with
an IQ <70,40 41 42 but removing these did not change the
estimate noticeably.
Additional subgroup analyses
Additional subgroup analyses on symptoms of ADHD in
parallel group trials and first period crossover trials
showed that neither age nor comorbidity significantly
influenced the intervention eect. The intervention
eect was significantly influenced by subtype of ADHD,
with a higher intervention eect for the inattentive sub-
type (standardised mean dierence 1.31, 95% confi-
dence interval 1.61 to 1.01, one trial, 204 participants)
compared to the combined type (0.65, 1.30 to 2.60, two
trials, 559 participants; test for subgroup dierence,
P=0.05), but this dierence was based on sparse data.
We found no evidence of a carry-over eect in the cross-
over trials in a subgroup analysis between the first
period and the second period data from four crossover
trials. First period (0.64, 0.85 to 0.44, four trials, 372
participants) and second period (0.91, 1.18 to 0.65,
four trials, 372 participants; test for subgroup dier-
ence, P=0.1).
Records screened aer duplicates removed (n=9271)
Full text articles assessed for eligibility (n=1460)
Full text articles eligible (n=761)
185 included randomised studies (from 449 reports)
Parallel group trials (n=38); crossover trials (n=147) (parallel and crossover with 1st period data (n=42))
Fourth database search
(n=1460):
CINAHL (n=38)
Cochrane Library
(n=26)
Embase (n=627)
Medline (n=300)
PsycINFO (n=166)
ISI CPCI (n=4)
International Clinical
Trials Registry
Platform (n=265)
Clinical trials (n=34)
Additional records
identied through
other sources
(n=368):
Reference lists of
articles (n=70)
298 reviews (n=73)
Authors (n=39)
Pharmaceutical
companies (n=186)
Third database search
(n=1274):
CINAHL (n=133)
Cochrane Library
(n=184)
Embase (n=650)
Medline (n=182)
PsycINFO (n=124)
ISI CPCI (n=1)
Second database
search (n=1080):
CINAHL (n=64)
Cochrane Library
(n=230)
Embase (n=465)
Medline (n=212)
PsycINFO (n=100)
ISI CPCI (n=9)
First database search
(n=10 249):
CINAHL (n=772)
Cochrane Library
(n=925)
Embase (n=3964)
Medline (n=2787)
PsycINFO (n=1490)
ISI Conference
Proceedings Citation
Index (CPCI) (n=311)
Records excluded (n=7811)
243 non-randomised studies eligible for another review (from 312 reports)
Excluded (n=691):
Full text articles excluded (n=691):
Not randomised controlled trial (n=367)
No acceptable ADHD diagnosis (n=269)
No methylphenidate treatment (n=15)
Age >18 years (n=5)
IQ <70 (n=40)
No assessment of ADHD symptoms, general behaviour, quality of life, or adverse events (n=88)
Polypharmacy (n=31)
Other (n=14)
7 studies are ongoing or awaiting classication (from 8 reports)
Fig  | Flow of studies through review
doi: 10.1136/bmj.h5203
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2015;351:h5203thebmj
RESEARCH
6
Our analyses investigating the dierence between
raters showed no significant dierences: teacher rated
(0.78, 0.93 to 0.63, 19 trials, 1689 participants),
observer rated (0.61, 0.87 to 0.35, nine trials, 1826
participants), and parent rated (0.65, 0.81 to 0.50, 21
trials, 2179 participants), test for subgroup dierence,
P=0.37.
Serious adverse events
We could only include nine parallel group trials (4.9%)
reporting serious adverse events. For these trials meth-
ylphenidate was not associated with an overall
increase in total number of serious adverse events
(risk ratio 0.98, 95% confidence interval 0.44 to 2.22,
1532 participants, fig 3). All the trials had high risk of
bias owing to vested interest, incomplete outcome
data, lack of blinding, and selective outcome report-
ing. The GRADE assessment was very low quality as a
result of high risk of bias and imprecision. Eight cross-
over trials reported serious adverse events at the end
of the last period. These trials did not seem to dier
between intervention groups (risk ratio 1.62, 95% con-
fidence interval 0.34 to 7.71, 1721 participants; I2=0%,
P=0.65).
We conducted trial sequential analysis on the “total
serious adverse events” outcome, involving nine par-
allel group trials. We had planned to use a relative risk
reduction of 20% but owing to too large a distance
between the accrued information and the required
information the program rejected to calculate and
draw an interpretable figure. We therefore increased
the relative risk reduction to 25%. We included trials
with zero serious adverse events by substituting a con-
stant of 0.5 for zero. We calculated the diversity
adjusted required information size (DARIS) on the
basis of serious adverse events in the control group of
2%; a relative risk reduction or increase in the experi-
mental group of 25%; type I error of 5%; type II error of
20% (80% power); and diversity (D2) of 0%, the DARIS
was 21 593 participants. The cumulative Z curve did
Arnold 2004
Biederman 2003
Brown 1985
Butter 1983
Childress 2009
Findling 2006
Findling 2008
Firestone 1981
Ialongo 1994
Jensen 1999 (MTA)
Kollins 2006 (PATS)
Lehmkuhl 2002
Moshe 2012
Palumbo 2008
Pliszka 2000
Schachar 1997
Taylor 1987
Van der Meere 1999
Wolraich 2001
Total (95% CI)
Test for heterogeneity:
τ2=0.03, χ2=28.78, df=18, P=0.05, I2=37%
Test for overall eect: z=11.23, P<0.001
-0.85 (-1.33 to -0.38)
-1.07 (-1.43 to -0.71)
-0.15 (-1.03 to 0.73)
-0.74 (-1.65 to 0.17)
-1.02 (-1.40 to -0.64)
-1.07 (-1.45 to -0.69)
-0.71 (-1.01 to -0.41)
-0.57 (-1.30 to 0.16)
-1.02 (-1.86 to -0.17)
-0.47 (-0.72 to -0.22)
-0.33 (-0.82 to 0.17)
-1.06 (-1.52 to -0.61)
-0.58 (-0.96 to -0.21)
-0.28 (-0.79 to 0.23)
-0.89 (-1.56 to -0.22)
-1.13 (-1.65 to -0.60)
-0.57 (-1.03 to -0.12)
-0.73 (-1.32 to -0.15)
-1.05 (-1.44 to -0.67)
-0.77 (-0.90 to -0.64)
5.3
7.2
2.0
1.9
6.8
6.9
8.7
2.8
2.2
10.0
5.0
5.5
7.0
4.7
3.2
4.6
5.6
3.9
6.8
100.0
-2 -1 012
Study
Favours
methylphenidate
Favours
control
Standardised mean
dierence, IV random
(95% CI)
Standardised mean
dierence, IV random
(95% CI)
Weight
(%)
0.7
16.3
15.1
30.5
16.4
4.3
18.3
8.9
7.5
0.8
1.1
0.9
58.0
-5.1
0.8
0.9
0.5
73.6
5.7
Mean
0.7
12.1
4.6
17.3
13.4
3.2
17.4
4.9
7.4
0.7
0.8
0.7
10.3
6.8
0.62
0.7
1.04
12.7
3.8
SD
35
63
10
10
57
120
94
18
13
134
32
43
57
29
20
37
39
24
81
916
No
Methylphenidate
1.4
31.3
15.7
42.7
30.0
7.7
31.6
11.8
15.3
1.1
1.4
1.6
64.7
-3.2
1.5
1.7
1.2
83.1
9.9
Mean
0.9
15.4
2.9
14.2
13.1
3.1
20.1
4.8
7.3
0.8
0.8
0.6
12.5
6.4
0.9
0.7
1.3
12.7
4.1
SD
40
71
10
10
63
39
88
13
12
119
32
42
57
30
18
29
39
24
46
782
No
Control
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Vested interest bias
Fig  | Teacher rated symptoms of attention-decit/hyperactivity disorder in parallel group trials.
thebmj
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2015;351:h5203doi: 10.1136/bmj.h5203
RESEARCH
7
not cross the conventional or trial sequential monitor-
ing boundaries for benefit, harm, or futility (fig 4). As
only less than 7% of the DARIS was accured, risks of
random type II error cannot be excluded. The trial
sequential analysis adjusted intervention eect is risk
ratio 0.91% (95% confidence interval 0.02 to 33.2).
Therefore, the total sample size in the meta-analysis of
serious adverse events for 1532 participants was con-
siderably under powered to identify a dierence in
serious adverse events.
Non-serious adverse events
We could only include 26 parallel group trials (14.0%)
reporting non-serious adverse events. Methylpheni-
date was associated with an overall risk of total num-
ber of non-serious adverse events by 29% (risk ratio
1.29, 95% confidence interval 1.10 to 1.51, 21 trials, 3132
participants, fig 5). All trials had high risk of bias owing
to lack of blinding of participants, lack of outcome
assessor blinding, vested interest, selective outcome
reporting, and incomplete outcome data. The GRADE
assessment was very low quality as a result of high risk
of bias and heterogeneity. Heterogeneity was substan-
tial between trials (τ²=0.08, χ²=61.94, df=12, P<0.001);
=81%), which did not seem to be related to dose (test
for subgroup dierence between low dose and high
dose methylphenidate, P=0.57). The adverse events
reported over all trials included neurological, diges-
tive, urinary, circulatory, respiratory, reproductive,
skeletal, muscular, and immunological adverse events
as well as physical measures such as dierence in
height, weight, body mass index, and vital signs. The
most common non-serious adverse events were
decreased appetite (risk ratio 3.66, 95% confidence
interval 2.56 to 5.23, 16 trials, 2962 participants; I2=18%)
and sleep problems (1.60, 1.15 to 2.23, 13 trials, 2416 par-
ticipants; I2=0%).
Sixty seven crossover trials reported non-serious
adverse events at the end of the second period. For
these trials methylphenidate was associated with an
Carlson 2007
Childress 2009
Coghill 2013
Findling 2010
Jacobi-Polishook 2009
Lehmkuhl 2002
Palumbo 2008
Riggs 2011
Wolraich 2001
Total (95% CI)
Test for heterogeneity:
τ2=0.00, χ2=3.14, df=6, P=0.79, I2=0%
Test for overall eect: z=0.04, P=0.97
3.10 (0.13 to 75.14)
1.05 (0.04 to 25.43)
0.67 (0.11 to 3.95)
3.50 (0.18 to 66.86)
Not estimable
2.93 (0.12 to 70.00)
3.10 (0.13 to 73.14)
0.58 (0.17 to 1.92)
Not estimable
0.98 (0.44 to 2.22)
6.5
6.5
21.1
7.6
6.6
6.6
45.2
100.0
-2 -1 012
Study
Favours
methylphenidate
Favours
control
Risk ratio, IV
random (95% CI)
Risk ratio, IV
random (95% CI)
Weight
(%)
1
1
2
3
0
1
1
4
0
13
Events
87
182
110
145
12
43
29
151
160
919
No
Methylphenidate
0
0
3
0
0
0
0
7
0
10
Events
90
63
111
72
12
42
30
152
41
613
No
Control
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Vested interest bias
Fig  | Serious adverse events in parallel group trials. Green=low risk of bias; yellow=uncertain risk of bias; red=high risk of bias. See Cochrane review for
details of references
No of patients (linear scale)
Cumulative Z score
Favours
methylphenidate
Favours
control
DARIS Pc 2%; RRR 25%; α 5%; β 20%; diversity 0% = 21 593
-10
-6
-2
2
6
10
-8
-4
0
4
8
Z curve
1532
Fig  | Trial sequential analysis on total number of serious adverse events. DARIS=diversity
adjusted required information size; RRR=relative risk reduction
doi: 10.1136/bmj.h5203
BMJ
2015;351:h5203thebmj
RESEARCH
8
overall increase in total number of non-serious adverse
events (risk ratio 1.33, 95% confidence interval 1.11 to
1.58, 21 trials, 2072 participants). The most common
specific non-serious adverse events were decreased
appetite (3.04, 2.35 to 3.94, 35 trials, 3862 participants,
I2=40%) and sleep problems (1.57, 1.20 to 2.06, 31 trials,
3270 participants, I2=47%).
We conducted trial sequential analysis on the total
number of non-serious adverse events outcome
including 21 parallel groups or end of first period
crossover trials (fig 6). The diversity adjusted
required information size was calculated based on a
proportion of adverse events in the control group of
47%, a relative risk reduction or increase of 20% in
the experimental group, a type I error of 5%, a type II
error of 20% (80% power), and a diversity (D2) of
79%. The diversity adjusted required information size
Biederman 2003
Carlson 2007
Childress 2009
Coghill 2013
Findling 2006
Findling 2008
Findling 2010
Greenhill 2002
Greenhill 2006
Jacobi-Polishook 2009
Lehmkuhl 2002
Newcorn 2008
Palumbo 2008
Pliszka 2000
Riggs 2011
TSSG* 2002
Tucker 2009
Wigal 2004
Wilens 2006
Wolraich 2001
Zeni 2009
Total (95% CI)
Test for heterogeneity:
τ2=0.08, χ2=72.18, df=19, P<0.001, I2=74%
Test for overall eect: z=3.13, P=0.002
1.37 (0.38 to 4.87)
0.89 (0.40 to 1.97)
1.12 (0.88 to 1.42)
1.13 (0.92 to 1.40)
0.65 (0.53 to 0.79)
1.20 (0.96 to 1.51)
1.35 (1.08 to 1.69)
1.36 (1.06 to 1.75)
1.31 (0.98 to 1.76)
Not estimable
1.76 (0.92 to 3.35)
1.23 (0.98 to 1.55)
1.47 (0.86 to 2.50)
1.70 (0.72 to 4.01)
1.10 (0.85 to 1.42)
1.78 (0.35 to 9.12)
3.31 (2.12 to 5.16)
1.78 (1.30 to 2.43)
1.21 (0.59 to 2.46)
1.61 (0.89 to 2.90)
0.50 (0.11 to 2.35)
1.29 (1.10 to 1.51)
1.3
2.8
7.2
7.5
7.5
7.3
7.4
7.1
6.7
3.6
7.3
4.4
2.5
7.1
0.9
5.2
6.5
3.2
4.0
0.9
100.0
0.2 0.5 12 5
Study
Favours
methylphenidate
Favours
control
Risk ratio, IV
random (95% CI)
Risk ratio, IV
random (95% CI)
Weight
(%)
5
5
116
72
71
63
112
80
40
0
18
146
17
10
70
4
47
80
14
56
2
1028
Events
65
9
182
111
133
91
145
155
53
12
43
219
29
20
151
37
53
90
87
160
16
1861
No
Methylphenidate
4
5
36
63
38
49
40
61
27
0
10
40
12
5
64
2
15
21
12
10
4
518
Events
71
8
63
110
46
85
70
161
47
12
42
74
30
17
152
33
56
42
90
46
16
1271
No
Control
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Vested interest bias
*Tourette's-Syndrome-Study-Group
Fig  | Non-serious adverse events in parallel group trials. Green=low risk of bias; yellow=uncertain risk of bias; red=high risk of bias. See Cochrane
review for details of references
No of patients (linear scale)
Cumulative Z score
Favours
methylphenidate
Favours
control
3132
DARIS Pc 47%; RRR 20%; α 5%; β 20%; diversity 79% = 4133
-10
-6
-2
2
6
10
-8
-4
0
4
8
Z curve
Fig  | Trial sequential analysis on total number of non-serious adverse events.
DARIS=diversity adjusted required information size; RRR=relative risk reduction
thebmj
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RESEARCH
9
was 4133 participants. The cumulative Z curve (red
line) crossed the trial sequential monitoring bound-
ary for harm (blue inward sloping line) after the
seventh trial, then regressed, and crossed the bound-
ary again after the 17th trial. Thereafter it never
regressed. The trial sequential analysis adjusted risk
ratio was 1.29 (95% confidence interval 1.06 to 1.56).
Accordingly, we can exclude random error as a cause
of the finding.
General behaviour
We could only include seven parallel group trials and
19 crossover trials (13.0%) reporting general
behaviour. The standardised mean difference of
teacher rated general behaviour in parallel group tri-
als was 0.87 (95% confidence interval 1.04 to 0.71,
five trials, 668 participants, fig 7). It was not possible
to transform this estimate to a widely used validated
scale. All the trials were high risk of bias owing to
uncertainty about the method used for sequence gen-
eration and allocation of concealment, vested inter-
est, incomplete outcome data, and selective outcome
reporting. The GRADE assessment was very low qual-
ity owing to a high risk of bias and indirectness. Nei-
ther the type of scales nor the dose significantly
influenced the intervention eect. The crossover trial
analysis also showed a beneficial treatment eect
(standardised mean dierence 0.69, 95% confidence
interval 0.78 to 0.60, 16 trials, 2014 participants).
The intervention eect was not influenced by dose of
methylphenidate. All crossover trials were considered
high risk of bias.
Quality of life
Only three parallel group trials (1.6%) reported qual-
ity of life. There was a small beneficial eect on qual-
ity of life (standardised mean dierence 0.61, 95%
confidence interval 0.42 to 0.80, three trials, 514 par-
ticipants, fig 8 ), which corresponds on the child
health questionnaire scale to a mean dierence of 8.0
points (95% confidence interval 5.49 to 10.46), which
is larger than the minimal clinical relevant dierence
of 7.0.31 However, the estimate relies on only three tri-
als and all three had high risk of bias, primarily due to
lack of blinding of participants, selective outcome
reporting, and vested interests. The GRADE assess-
ment was very low quality owing to high risk of bias
and indirectness.
Discussion
In this meta-analysis and trial sequential analysis we
found that methylphenidate reduces the symptoms of
ADHD in children and adolescents. We also observed a
possible small beneficial eect on quality of life and
general behaviour. The apparent eects of methylphe-
nidate on both the ADHD rating scale and the child
health questionnaire should be considered clinically
relevant based on our predefined minimal relevant dif-
ferences. However, our present results are based on tri-
als that by GRADE are considered very low quality and
may be prone to bias.
The use of methylphenidate is associated with a rel-
atively high risk of non-serious adverse events in gen-
eral. Just over a quarter of children and adolescents
seemed to experience non-serious adverse events
Findling 2006
Greenhill 2002
Ialongo 1994
Van der Meere 1999
Wolraich 2001
Total (95% CI)
Test for heterogeneity:
τ2=0.00, χ2=0.40, df=4, P=0.98, I2=0%
Test for overall eect: z=10.39, P<0.001
-0.84 (-1.21 to -0.46)
-0.91 (-1.14 to -0.68)
-0.67 (-1.48 to 0.14)
-0.84 (-1.46 to -0.21)
-0.88 (-1.25 to -0.50)
-0.87 (-1.04 to -0.71)
19.6
50.3
4.1
6.9
19.0
100.0
-2 -1 012
Study
Favours
methylphenidate
Favours
control
Standardised mean
dierence, IV random
(95% CI)
Standardised mean
dierence, IV random
(95% CI)
Weight
(%)
2.3
4.9
3.1
37.8
1.8
Mean
2.74
4.66
2.78
5.85
2.99
SD
120
155
13
22
81
391
No
Methylphenidate
4.6
10.3
5.8
42.8
5.2
Mean
2.75
6.92
5.00
5.85
5.12
SD
39
159
12
21
46
277
No
Control
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Vested interest bias
Fig  | Teacher rated general behaviour in parallel group trials. Green=low risk of bias; yellow=uncertain risk of bias; red=high risk of bias. See Cochrane
review for details of references
doi: 10.1136/bmj.h5203
BMJ
2015;351:h5203thebmj
RESEARCH
10
after methylphenidate treatment. Although methyl-
phenidate has been reported to cause rare but serious
cardiac events as well as sudden cardiac death,63 it
did not appear to cause an increase in serious adverse
events in the short term in our meta-analysis. How-
ever, the data on serious adverse events was under-
powered as shown by the trial sequential analysis
adjusted confidence interval and there were no data
available from randomised trials on the long term
incidence of such events. Our findings should be seen
in the context of the low quality of the included trials
owing to avoidable methodological limitations—for
example, inadequate sequence generation and allo-
cation concealment, lack of blinding, selection bias,
incomplete outcome data, reporting bias, and possi-
ble bias caused by vested interest.57 64 Only six of 185
trials with a total of 183 participants seemed to be at
low risk of bias in all domains. Even the trials origi-
nally considered at low risk of bias may in fact be tri-
als with high risk of bias owing to lack of blinding
despite the use of placebo, as methylphenidate gives
rise to several easily recognisable adverse events that
can lead to loss of blinding and influence the rating of
symptoms and adverse events. We found no trials
employing nocebo tablets (“active placebo”) in the
controls, thus the extent of this bias cannot be
assessed. Furthermore, heterogeneity might have
influenced the results.
Strength and limitations of this study
This systematic review has several strengths. We devel-
oped a protocol for this review according to instruc-
tions provided in the Cochrane Handbook for Systematic
Reviews of Interventions.23 Our protocol was published
before we embarked on the review itself. We conducted
extensive searches of relevant databases, and we
requested published and unpublished data from phar-
maceutical companies manufacturing methylpheni-
date, including Shire, Medice (represented in Denmark
by HB Pharma), Janssen-Cilag, and Novartis. Two
review authors, working independently, selected trials
for inclusion and extracted data. Disagreements were
14.4.1 CHQ
Newcorn 2008
Subtotal (95% CI)
Test for heterogeneity: Not applicable
Test for overall eect: z=3.70, P<0.001
14.4.2 CGAS
Szobot 2004
Subtotal (95% CI)
Test for heterogeneity: Not applicable
Test for overall eect: z=10.39, P<0.001
14.4.3 CHIP-CE:PRF
Coghill 2013
Subtotal (95% CI)
Test for heterogeneity: Not applicable
Test for overall eect: z=10.39, P<0.001
Total (95% CI)
Test for heterogeneity:
τ2=0.00, χ2=0.52, df=2, P=0.77, I2=0%
Test for overall eect: z=6.30, P<0.001
Test for subgroup dierences:
χ2=0.52, df=2, P=0.77, I2=0%
0.54 (0.25 to 0.83)
0.54 (0.25 to 0.83)
0.79 (0.10 to 1.47)
0.79 (0.10 to 1.47)
0.64 (0.37 to 0.91)
0.64 (0.37 to 0.91)
0.61 (0.42 to 0.80)
43.5
43.5
7.7
7.7
48.8
48.8
100.0
-2 -1 012
Study
Favours
control
Favours
methylphenidate
Standardised mean
difference, IV random
(95% CI)
Standardised mean
difference, IV random
(95% CI)
Weight
(%)
7.8
69.1
7.1
Mean
12.7
11.3
11.6
SD
193
193
19
19
111
111
323
No
Methylphenidate
1.0
59.7
-0.2
Mean
12.0
12.1
11.2
SD
64
64
17
17
110
110
191
No
Control
Random sequence generation (selection bias)
Allocation concealment (selection bias)
Blinding of participants and personnel (performance bias)
Blinding of outcome assessment (detection bias)
Incomplete outcome data (attrition bias)
Selective reporting (reporting bias)
Vested interest bias
Fig  | Quality of life in parallel group trials. Green=low risk of bias; yellow=uncertain risk of bias; red=high risk of bias. See Cochrane review for details of
references
thebmj
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2015;351:h5203doi: 10.1136/bmj.h5203
RESEARCH
11
resolved by discussion with team members. We
assessed risk of bias in all trials according to recom-
mendations provided in the Cochrane Handbook for
Systematic Reviews of Interventions.23 In addition, this
review meta-analysed adverse events for the same
intervention and used trial sequential analysis meth-
odology to control the risks of false positive results in
meta-analysis owing to sparse data and repetitive anal-
yses of data.46 47 50 61
It may be considered a drawback that we did not
search the databases of the US Food and Drug Admin-
istration and European Medicines Agency for unpub-
lished trials. 65The median duration of drug treatment
was less than two months and few trials had a dura-
tion of more than six months. Therefore there is little
that can be concluded about the benefits and harms
of methylphenidate use for longer than six months.
When comparing short term trials (six months or less)
with long term trials (more than six months), we
found that the treatment eect for teacher rated
symptoms of ADHD decreased over time. This was not
the case for independent assessor rated and parent
rated symptoms of ADHD, where there were no signif-
icant dierences between short term and long term
duration of trials. We could identify no trials that
examined the eect of more extended use of treat-
ment on young people’s general behaviour. Overall,
there is a lack of evidence about the long term eects
of methylphenidate in children and adolescents with
ADHD.
Some researchers have argued that parents’ evalua-
tions of the symptoms of ADHD may not be as reliable
as those of other raters such as teachers of preschool
children66 or college students.67 One study suggested
that there was inconsistency in ratings between par-
ents.68 In the Multimodal ADHD Treatment (MTA) trial,
information provided by parents was not always
thought to be strong.69 However, we found no dier-
ences between dierent raters.
Agreements and disagreements with other studies
or reviews
During the past 15 years, several reviews investigat-
ing the efficacy of methylphenidate for ADHD (with
or without meta-analyses) have been published. Fif-
teen reviews on the efficacy of methylphenidate
treatment for children and adolescents with ADHD
have pooled the results of ADHD rating scales.8-22
These reviews have several shortcomings, as
described in our introduction. Most did not assess
the risk of bias of the included studies or adverse
events. Moreover, none of these reviews considered
the risks of random errors. Therefore, the true esti-
mate of the treatment is not known and information
about adverse events from several randomised clini-
cal trials is missing. All of these reviews and
meta-analyses reported a large effect of methylpheni-
date. The meta-analysis in our review showed an
effect of methylphenidate on some outcomes but
because we identified that almost all of the trials
have a high risk of bias, we do not know the true
intervention effect. We also found a large risk of out-
come reporting bias in the outcomes for both serious
and non-serious adverse events
A recent Cochrane systematic review evaluated the
effects of methylphenidate in adults with ADHD.70
The effect sizes across the different assessments of
symptoms were similar to those found in our analy-
ses (standardised mean difference 0.60). The authors
noted that data on adverse events were limited by the
short duration of the included trials.70 Despite the
similar effects of methylphenidate on symptoms
observed in our reviews, we have judged the quality
of evidence in our own review, as well as that in
Epstein 2014,71 to be lower than that of Epstein and
colleagues’.
Implications for practice
The results of meta-analyses suggest that methylpheni-
date may improve teacher reported ADHD symptoms,
teacher reported general behaviour, and parent
reported quality of life among children and adolescents
with a diagnosis of ADHD. However, the low quality of
the underpinning evidence means that we cannot be
certain of the magnitude of the eects.
Within the short follow-up periods typical of the
included trials, there is some evidence that methylphe-
nidate is associated with increased risk of non-serious
adverse events, such as sleep problems and decreased
appetite, but no evidence that it increases the risk of
serious adverse events.
Implications for research
Better designed trials are needed to assess the benefits
of methylphenidate. Because of the frequency of
non-serious adverse events associated with methylphe-
nidate, the particular diculties for blinding of partici-
pants and outcome assessors point to the advantage of
large, “nocebo tablet” controlled trials. These use a pla-
cebo-like substance that causes adverse events in the
control arm that are comparable to those associated
with methylphenidate. Such trials ought first to be con-
ducted in adults with ADHD. We also acknowledge that
investigators can directly carry out nocebo controlled
trials in children and adolescents if they can argue that
young people with ADHD are dierent from adults with
the disorder.
Future trials should publish depersonalised individ-
ual participant data and report all outcomes, including
adverse events. This will enable researchers conducting
systematic reviews to assess dierences between inter-
vention eects according to sex, age, type of ADHD,
presence of co-morbidities and dose. Finally, the find-
ings highlight the urgent need for large randomised tri-
als of non-pharmacological treatments.
Conclusions
Methylphenidate use in children and adolescents may
improve the symptoms of ADHD, general behaviour,
and quality of life. It does not seem to cause an
increased risk of serious adverse events in the short
term but was associated with a relatively high risks of
doi: 10.1136/bmj.h5203
BMJ
2015;351:h5203thebmj
RESEARCH
12
non-serious adverse events. These findings should be
interpreted in the light of several limitations, includ-
ing the lack of blinding, outcome reporting bias, het-
erogeneity, and the consequent very low quality of
evidence for all outcomes. More long term randomised
nocebo tablet (active placebo) controlled clinical tri-
als without risks of bias are necessary to allow firm
decisions on methylphenidate treatment in children
and adolescents with ADHD. We believe that nocebo
controlled trials should be conducted first in adults
with ADHD.
AUTHOR AFFILIATIONS
1Psychiatric Research Unit, Region Zealand Psychiatry, Denmark
2Child and Adolescent Psychiatric Department, Region Zealand,
Denmark
3Department of Psychology, Faculty of Health Science, University of
Southern Denmark
4Department of Psychiatry, Federal University of Rio Grande do Sul,
Porto Alegre, Brazil
5Copenhagen Trial Unit, Centre for Clinical Intervention Research,
Rigshospitalet, Copenhagen University Hospital, Copenhagen,
Denmark
6Islington CAMHS, Whittington Health, London, UK
7Western Sydney Local Health District; Mental Health, Parramatta,
Australia
8Psychiatric Centre North Zealand, The Capital Region of Denmark,
Denmark
9Pediatric Department, Herlev University Hospital, Herlev, Denmark
10Directorate for Health Information and Research, Department of
Health, G’Mangia, Malta
11South Asian Cochrane Network & Center, Prof BV Moses Center for
Evidence-Informed Health Care and Health Policy, Christian Medical
College, Vellore, India
12Institute of Clinical Medicine, Faculty of Health and Medical
Sciences, Copenhagen University, Copenhagen, Denmark
13The Cochrane Hepato-Biliary Group, Copenhagen Trial Unit, Centre
for Clinical Intervention Research, Rigshospitalet, Copenhagen
University Hospital, Copenhagen, Denmark
We thank Janus Christian Jacobsen (Copenhagen Trial Unit) for
elaborating the idea of conducting this review; Trine Lacoppidan
Kæstel (research librarian, Psychiatric Research Unit, Region
Zealand, Denmark) for her help with the search of studies and
description of the measurement scales; Lise Aagaard (University of
Southern Denmark) for the advice given during the work of this
review; Jesper Pedersen (Department of Childrens and Youths
Psychiatry, Region Zealand, Denmark) for backing up this project;
Torben Bille (Pediatric Department, Holbaek Hospital, Copenhagen,
Denmark) for helping to write the protocol and for performing the
selection of studies; Maria Gaardahl, Kim Boesen, Farhad Shokraneh,
and Rene Spijker for helping with the translation of articles in
Japanese, Italian, Turkish, Farsi and Dutch; Nadia Pedersen
(Psychiatric Research Unit) for helping with nalising the review;
Martina Riegl (senior medical assessor, Medicine and Healthcare
products Regulatory Agency, Special Populations Unit (Paediatrics),
London) for helping with data extraction and assessment of risk of
bias; Jacob Riis (user experience lead, the Nordic Cochrane Centre,
Copenhagen, Denmark) and Rasmus Moustgaard (senior systems
architect, the Nordic Cochrane Centre, Copenhagen, Denmark) for
help on issues regarding Review Manager. We thank Geraldine
McDonald (coordinating editor), Joanne Wilson (managing editor),
Gemma O’Loughlin (assistant managing editor), and Margaret
Anderson (trials search coordinator) of the Cochrane Developmental,
Psychosocial and Learning Problems Group for providing help and
support. We are grateful for the advice and support of Toby
Lasserson (senior editor) and David Tovey (editor in chief) of the
Cochrane Central Editorial Unit.
We also thank the many authors who responded to our requests for
further information on their trials, and the editors and peer reviewers of
the Cochrane Group and the BMJ for helpful comments on our Cochrane
review, which also influenced the wording of the present version.
ER and HBK are co-second authors on this review. This review is
an abridged version of a Cochrane systematic review: Storebø OJ,
Ramstad E, Krogh HB, etal. Methylphenidate for attention decit
hyperactivity disorder (ADHD) in children and adolescents. Cochrane
Database Syst Rev 2015 (In press).
Contributors: OJS, CGl, MS,SR, CGr, KBR, and ES wrote the protocol.
KBR developed the search strategy. OJS, ER, HK,TDN, MS, MH, FLM, SR,
and KBR carried out the study selection. OJS, ER, HK, TDN, MS, SR, MH,
CGJ, FLM, CMM, DG, KBR, DG, MZ, RK, and ES carried out the data
extraction and evaluation of bias. OJS and CGl developed the
analytical strategy. OJS, ER, HBK, MH, FLM, and CRMM entered data
into RevMan. OJS, ER, HBK, MH, FLM, and CRMM conducted the
statistical analysis. All authors participated in the discussion and
writing of the nal review. OJS is the guarantor.
Funding: This study received funding from Region Zealand Research
Foundation, Psychiatric Research Unit, Region Zealand Psychiatry,
Roskilde, Denmark and the Copenhagen Trial Unit, Centre for Clinical
Intervention Research, Copenhagen University Hospital, Copenhagen,
Denmark.
Competing interests: All authors have completed the ICMJE uniform
disclosure for at www.icmje.org/coi_disclosure.pdf (available on
request from the corresponding author) and declare: CRMM receives
nancial research support from the government agencies:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
(CAPES) and Conselho Nacional de Desenvolvimento Cientíco e
Tecnológico (CNPq); has served as speaker to Novartis, developed
educational material for Novartis; received travel awards from the
Health Technology Assessment Institute (IATS), Universidade Federal
do Rio Grande do Sul (UFRGS), and travel and registration support to
the 4th World Congress on ADHD from the World Federation of ADHD;
MZ sits on the Paediatric Medicines Expert Advisory Group at the
Medicines and Healthcare Regulatory Agency, which considers
applications regarding the licensing of paediatric medicines. Payment
for MZ’s attendance at this meeting goes to his NHS organization. RK
is currently employed by South Asian Cochrane Centre, funded by
Indian Council for Medical Research, India and Eective Healthcare
Research Consortium (DFID), UK. CG received funds from the Lundbeck
Foundation to nance part of her Ph.D in the paediatric eld on
Tourette Syndrome. CG conrms that none of these funds were used to
work on this review.
Ethical approval: Not required.
Data sharing: Full data are available in the version of this Cochrane
review published by The Cochrane Library (www.cochrane library.com).
Transparency: The lead author (OJS) affirms that this manuscript is
an honest, accurate, and transparent account of the study being
reported; that no important aspects of the study have been
omitted; and that any discrepancies from the study as planned
(and, if relevant, registered) have been explained.
This is an Open Access article distributed in accordance with the
Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license,
which permits others to distribute, remix, adapt, build upon this work
non-commercially, and license their derivative works on dierent
terms, provided the original work is properly cited and the use is
non-commercial. See: http://creativecommons.org/licenses/
by-nc/4.0/.
1 Scahill L , Schwab-Stone M. Epidemiolog y of ADHD in scho ol-age
children. Child Adolesc Psychi atr Clin N Am 2000;9:541-55.
2 Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual
research review: a meta-analysis of the worldwide prevalence of
mental disorders in children and adolescents. J Child Psychol
Psychiatry 2015;56:345-65.
3 Schmidt S, Petermann F. Developmental psychopathology:
Attention Decit Hyperactivity Disorder (ADHD). BMC Psychiatry
2009;9:58.
4 American Psychiatric Association. Diagnostic and statistical manual of
mental disorders : DSM-5. APA; 2013.
5 World Health Organization. The ICD-10 classication of mental and
behavioural disorders: clinical descriptions and diagnostic guidelines.
WHO; 1992.
6 Kadesjö B. ADHD hos barn och vuxna [ADHD in children and adults].
Socialstyrelsen; 2002.
7 National Institute for Health and Care Excellence. Attention decit
hyperactivity disorder: diagnosis and management of ADHD in
children, young people and adults. (Clinical guideline CG72.) 2008.
www.nice.org.uk/guidance/cg72.
8 Bloch MH, Panza KE, Landeros-Weisenberger A, Leckman JF.
Meta-analysis: treatment of attention-decit/hyperactivity disorder in
children with comorbid tic disorders. J Am Acad Child Adolesc
Psychiatry 2009;48:884-93.
thebmj
BMJ
2015;351:h5203doi: 10.1136/bmj.h5203
RESEARCH
13
9 Charach A, Yeung E, Climans T, Lillie E. Childhood attention-decit/
hyperactivity disorder and future substance use disorders:
comparative meta-analyses. J Am Acad Child Adolesc Psychiatry
2011;50:9-21.
10 Charach A, Carson P, Fox S, Ali MU, Beckett J, Lim CG. Interventions for
preschool children at high risk for ADHD: a comparative eectiveness
review. Pediatrics 2013;131:e1584-e1604.
11 Faraone SV, Biederman J, Roe C. Comparative ecacy of Adderall and
methylphenidate in attention-decit/hyperactivity disorder: a
meta-analysis. J Clin Psychopharmacol 2002;22:468-73.
12 Faraone SV, Biederman J, Spencer TJ, Aleardi M. Comparing the
ecacy of medications for ADHD using meta-analysis. Med Gen Med
2006;8:4.
13 Faraone SV. Using Meta-analysis to compare the ecacy of
medications for attention-decit/hyperactivity disorder in youths.
P T 2009;34:678-94.
14 Faraone SV, Glatt SJ. A comparison of the ecacy of medications for
adult attention-decit/hyperactivity disorder using meta-analysis of
eect sizes. J Clin Psychiatry 2010;71:754-63.
15 Hanwella R, Senanayake M, de Silva V. Comparative ecacy and
acceptability of methylphenidate and atomoxetine in treatment of
attention decit hyperactivity disorder in children and adolescents: a
meta-analysis. BMC Psychiatry 2011;11:176.
16 Kambeitz J, Romanos M, Ettinger U. Meta-analysis of the association
between dopamine transporter genotype and response to
methylphenidate treatment in ADHD. Pharmacogenomics J
2014;14:77-84.
17 King S, Grin S, Hodges Z, etal. A systematic review and economic
model of the eectiveness and cost-eectiveness of methylphenidate,
dexamfetamine and atomoxetine for the treatment of attention decit
hyperactivity disorder in children and adolescents. Health Technol
Assess 2006;10:iii-146.
18 Maia CR, Cortese S, Caye A, etal. Long-term ecacy of
methylphenidate immediate-release for the treatment of childhood
ADHD: a systematic review and meta-analysis. J Atten Disord 2014;
published online 10 Dec.
19 Punja S, Zorzela L, Hartling L, Urichuk L, Vohra S. Long-acting versus
short-acting methylphenidate for paediatric ADHD: a systematic
review and meta-analysis of comparative ecacy. BMJ Open
2013;3:e002312.
20 Reichow B, Volkmar FR, Bloch MH. Systematic review and
meta-analysis of pharmacological treatment of the symptoms of
attention-decit/hyperactivity disorder in children with pervasive
developmental disorders. J Autism Dev Disord 2013;43:2435-41.
21 Schachter HM, Pham B, King J, Langford S, Moher D. How ecacious
and safe is short-acting methylphenidate for the treatment of
attention-decit disorder in children and adolescents? A meta-
analysis. CMAJ 2001;165:1475-88.
22 Van der Oord S, Prins PJ, Oosterlaan J, Emmelkamp PM. Ecacy of
methylphenidate, psychosocial treatments and their combination in
school-aged children with ADHD: a meta-analysis. Clin Psychol Rev
2008;28:783-800.
23 Higgins JPT, Green S. Cochrane handbook for systematic reviews of
interventions. Version 5.1.0 [updated March 2011]. www.cochrane-
handbook.org.
24 Moher D, Shamseer L, Clarke M, etal. Preferred reporting items for
systematic review and meta-analysis protocols (PRISMA-P) 2015
statement. Syst Rev 2015;4:1.
25 Liberati A, Altman DG, Tetzla J, etal. The PRISMA statement for
reporting systematic reviews and meta-analyses of studies that
evaluate healthcare interventions: explanation and elaboration. BMJ
2009;339:b2700.
26 Storebø O, Ramstad E, Krogh H, etal. Methylphenidate for attention
decit hyperactivity disorder (ADHD) in children and adolescents.
Cochrane Database Syst Rev 2015 (In press).
27 Storebø O, Pedersen N, Krogh H, etal. Methylphenidate for attention
decit hyperactivity disorder (ADHD) in children and adolescents—
assessment of harms in observational studies. Cochrane Database
Syst Rev 2015; (In press).
28 Storebø OJ, Rosendal S, Skoog M, etal. Methylphenidate for
attention decit hyperactivity disorder (ADHD) in children and
adolescents [Protocol]. Cochrane Database Syst Rev 2012;5:
CD009885.
29 ICH Expert Working Group. ICH harmonized tripartite guideline:
guideline for good clinical practice E6(R1) 1996. http://bit.ly/1B0jeJg.
30 Zhang S, Faries DE, Vowles M, Michelson D. ADHD Rating Scale IV:
psychometric properties from a multinational study as a clinician-
administered instrument. Int J Methods Psychiatr Res
2005;14:186-201.
31 Rentz AM, Matza LS, Secnik K, Swensen A, Revicki DA. Psychometric
validation of the child health questionnaire (CHQ) in a sample of
children and adolescents with attention-decit/hyperactivity disorder.
Qual Life Res 2005;14:719-34.
32 Curtin F, Elbourne D, Altman DG. Meta-analysis combining parallel and
cross-over clinical trials. III: The issue of carry-over. Stat Med
2002;21:2161-73.
33 Hartman CA, Rhee SH, Willcutt EG, Pennington B. Modeling Rater
Disagreement for ADHD: Are Parents or Teachers Biased? J Abnorm
Child Psychol 2007;35:536-42.
34 Carlson GA, Dunn D, Kelsey D, etal. A pilot study for augmenting
atomoxetine with methylphenidate: safety of concomitant therapy in
children with attention-decit/hyperactivity disorder. Child Adolesc
Psychiatry Ment Health 2007;1:10.
35 Findling RL, Short EJ, McNamara NK, etal. Methylphenidate in the
treatment of children and adolescents with bipolar disorder and
attention-decit/hyperactivity disorder. J Am Acad Child Adolesc
Psychiatry 2007;46:1445-53.
36 Newcorn JH, Kratochvil CJ, Allen AJ, etal. Atomoxetine and osmotically
released methylphenidate for the treatment of attention decit
hyperactivity disorder: acute comparison and dierential response.
Am J Psychiatry 2008;165:721-30.
37 Palumbo DR, Sallee FR, Pelham WE, Bukstein OG, Daviss WB,
McDermott MP. Clonidine for attention-decit/hyperactivity disorder:
I. Ecacy and tolerability outcomes. J Am Acad Child Adolesc
Psychiatry 2008;47:180-8.
38 Tucker JD, Suter W, Petibone DM, etal. Cytogenetic assessment of
methylphenidate treatment in pediatric patients treated for attention
decit hyperactivity disorder. Mutat Res 2009;677:53-8.
39 Oesterheld JR, Kofoed L, Tervo R, Fogas B, Wilson A, Fiechtner H.
Eectiveness of methylphenidate in Native American children with
fetal alcohol syndrome and attention decit/hyperactivity disorder:
a controlled pilot study. J Child Adolesc Psychopharmacol
1998;8:39-48.
40 Pearson DA, Santos CW, Aman MG, etal. Eects of extended release
methylphenidate treatment on ratings of attention-decit/
hyperactivity disorder (ADHD) and associated behavior in children
with autism spectrum disorders and ADHD symptoms. J Child Adolesc
Psychopharmacol 2013;23:337-51.
41 Smith BH, Pelham WE, Evans S, etal. Dosage eects of
methylphenidate on the social behavior of adolescents diagnosed
with attention-decit hyperactivity disorder. Exp Clin
Psychopharmacol 1998;6:187-204.
42 Taylor E, Schachar R, Thorley G, Wieselberg HM, Everitt B, Rutter M.
Which boys respond to stimulant medication? A controlled trial of
methylphenidate in boys with disruptive behaviour. Psychol Med
1987;17:121-43.
43 Green T, Weinberger R, Diamond A, etal. The eect of
methylphenidate on prefrontal cognitive functioning, inattention, and
hyperactivity in velocardiofacial syndrome. J Child Adolesc
Psychopharmacol 2011;21:589-95.
44 Szobot CM, Rohde LA, Katz B, etal. A randomized crossover
clinicalstudy showing that methylphenidate-SODAS improves
attention-decit/hyperactivity disorder symptoms in
adolescentswith substance use disorder. Braz J Med Biol Res
2008;41:250-7.
45 Roberts I, Ker K, Edwards P, Beecher D, Manno D, Sydenham E. The
knowledge system underpinning healthcare is not t for purpose and
must change. BMJ 2015;350:h2463.
46 Wetterslev J, Thorlund K, Brok J, Gluud C. Trial sequential analysis may
establish when rm evidence is reached in cumulative meta-analysis.
J Clin Epidemiol 2008;61:64-75.
47 Brok J, Thorlund K, Gluud C, Wetterslev J. Trial sequential analysis
reveals insufficient information size and potentially false
positiveresults in many meta-analyses. J Clin Epidemiol 2008;61:
763-9.
48 Brok J, Thorlund K, Wetterslev J, Gluud C. Apparently conclusive
meta-analysis may be inconclusive—trial sequential analysis
adjustment of random error risk due to repetitive testing of
accumulating data in apparently conclusive neonatal meta-analysis.
Int J Epidemiol 2009;38:287-98.
49 Thorlund K, Devereaux PJ, Wetterslev J, etal. Can trial sequential
monitoring boundaries reduce spurious inferences from meta-
analysis? Int J Epidemiol 2009;38:276-86.
50 Copenhagen Trial Unit. TSA trial sequential analysis. 0.9 Beta.
[Computer program].Copenhagen Trial Unit 2011. http://ctu.dk/tsa/
downloads.aspx.
51 Wetterslev J, Thorlund K, Brok J, Gluud C. Estimating required
information size by quantifying diversity in random-eects model
meta-analyses. BMC Med Res Methodol 2009;9:86.
52 Kjaergard LL, Villumsen J, Gluud C. Reported methodologic quality
and discrepancies between large and small randomized trials in
meta-analyses. Ann Intern Med 2001;135:982-9.
53 Lundh A, Sismondo S, Lexchin J, Busuioc OA, Bero L. Industry
sponsorship and research outcome. Cochrane Database Syst Rev
2012;12:MR000033.
54 Moher D, Pham B, Jones A, etal. Does quality of reports of
randomised trials aect estimates of intervention ecacy reported in
meta-analysis? Lancet 1998;352:609-13.
55 Savovic J, Jones HE, Altman DG, etal. Influence of reported
studydesign characteristics on intervention eect estimates
fromrandomized, controlled trials. Ann Intern Med 2012;157:
429-38.
RESEARCH
No commercial reuse: See rights and reprints http://www.bmj.com/permissions Subscribe: http://www.bmj.com/subscribe
56 Savovic J, Jones H, Altman D, etal. Influence of reported study design
characteristics on intervention eect estimates from randomised
controlled trials: combined analysis of meta-epidemiological studies.
Health Technol Assess 2012;16:1-82.
57 Schulz KF, Chalmers I, Hayes RJ, Altman DG. Empirical evidence of
bias. Dimensions of methodological quality associated with estimates
of treatment eects in controlled trials. JAMA 1995;273:408-12.
58 Wood L, Egger M, Gluud LL, etal. Empirical evidence of bias in treatment
eect estimates in controlled trials with dierent interventions and
outcomes: meta-epidemiological study. BMJ 2008;336:601-5.
59 Gluud C, Nikolova D, Klingenberg SL. Cochrane Hepato-Biliary About
the Cochrane Collaboration (Cochrane Review Groups (CRGs).
Cochrane Rev Groups 2015;1(Art.No:LIVER). www.cochranelibrary.
com/about/cochrane-review-groups.html.
60 Andrews J, Guyatt G, Oxman AD, etal. GRADE guidelines: 14. Going
from evidence to recommendations: the signicance and
presentation of recommendations. J Clin Epidemiol 2013;66:719-25.
61 Thorlund K, Engstrøm J, Wetterslev J, Brok J, Imberger G, Gluud C. User
manual for Trial Sequential Analysis (TSA). Copenhagen Trial Unit,
Centre for Clinical Intervention Research. Copenhagen, Denmark
2011;1. www.ctu.dk/tsa.
62 Moher D, Liberati A, Tetzla J, Altman DG. Preferred reporting items for
systematic reviews and meta-analyses: the PRISMA Statement. Open
Med 2009;3:e123-e130.
63 Martinez-Raga J, Knecht C, Szerman N, Martinez MI. Risk of serious
cardiovascular problems with medications for attention-decit
hyperactivity disorder. CNS Drugs 2013;27:15-30.
64 Lundh A, Sismondo S, Lexchin J, Busuioc OA, Bero L. Industry
sponsorship and research outcome. Cochrane Database Syst Rev
2012;12:MR000033.
65 Schroll JB, Bero L, Gotzsche PC. Searching for unpublished data for
Cochrane reviews: cross sectional study. BMJ 2013;346:f2231.
66 Murray DW, Kollins SH, Hardy KK, etal. Parent versus teacher ratings
of attention-decit/hyperactivity disorder symptoms in the
preschoolers with Attention-Decit/Hyperactivity Disorder Treatment
Study (PATS). J Child Adolesc Psychopharmacol 2007;17:605-19.
67 Lavigne JV, Dulcan MK, LeBailly SA, Binns HJ. Can parent reports serve
as a proxy for teacher ratings in medication management of
attention-decit hyperactivity disorder? J Dev Behav Pediatri
2012;33:336-42.
68 Caye A, Machado JD, Rohde LA. Evaluating parental disagreement in
ADHD diagnosis: can we rely on a single report from home? J Atten
Disord 2013; published online 4 Oct.
69 Efstratopoulou M, Simons J, Janssen R. Concordance among physical
educators’, teachers’, and parents’ perceptions of attention problems
in children. J Atten Disord 2013;17:437-43.
70 Epstein T, Patsopoulos NA, Weiser M. Immediate-release
methylphenidate for attention decit hyperactivity disorder (ADHD) in
adults. Cochrane Database Syst Rev 2014;9:CD005041.
71 Storebø O, Gluud C. Criticism to “Immediate-release methylphenidate
for attention decit hyperactivity disorder (ADHD) in adults”. Email to:
T Epstein via Wiley Online Feedback form, 12 May 2015.
© BMJ Publishing Group Ltd 2015
... This effectiveness appears to be higher than that of viloxazine. 26 Undoubtedly, head-to-head studies are needed to compare the efficacy of viloxazine with other ADHD medications. On the other hand, our study showed that viloxazine was associated with comparable efficacy in both inattention (mean difference, 2.73 points) and hyperactivity (mean difference, 2.88 points) symptoms. ...
... Additionally, methylphenidate appears to be more effective in treating the inattention subtype compared with the combined subtype. 26 This difference highlights the clinical value of viloxazine in the management of ADHD. A dose-response meta-analysis with 65 RCTs 28 reported that stimulant methylphenidate had a dose-response trend, with higher doses providing better treatment for ADHD symptoms in children and adolescents. ...
Article
Importance Viloxazine is a novel nonstimulant medication approved for the treatment of attention-deficit/hyperactivity disorder (ADHD). Objectives To investigate the whether viloxazine is associated with effective and acceptable outcomes when treating children and adolescents with ADHD and to evaluate these outcomes’ associations with viloxazine doses and duration of treatment. Data Sources The MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, PsycINFO, and ClinicalTrial.gov databases were searched from database inception to June 23, 2024. Study Selection Two reviewers independently screened for double-blind, fixed-dose randomized clinical trials (RCTs) that compared viloxazine with placebo for pediatric patients with ADHD. Data Extraction and Synthesis The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. Data extraction was completed independently by 2 authors and cross-checked for errors. Random-effects pairwise and dose-response meta-analyses were conducted. Main Outcomes and Measures The primary outcome was the improvement of ADHD symptoms (measured by ADHD Rating Scale–5), and the secondary outcomes were all-cause discontinuation, dropout due to adverse effects, and serious adverse effects. Results A total of 5 dose-response RCTs were included, with 1560 participants (1011 [64.8%] male; mean [SD] age, 10.6 [6.7] years). Viloxazine was associated with better outcomes in ADHD treatment compared with placebo (mean difference, 5.47 points; 95% CI, 4.03-6.91 points). The dose-response curve was bell-shaped, suggesting that doses greater than 400 mg or greater than 7 mg/kg might not be associated with more efficacy. The temporal trends analysis showed ascent curves tapering off at approximately weeks 4 to 6. The curve for 100 mg/d declined more rapidly, while the curves for 200 mg/d and 400 mg/d declined more gradually. The overall discontinuation rate due to adverse effects was 4.15% in the viloxazine group (45 of 1084), while viloxazine compared with placebo was associated with 2.48-fold higher risk of discontinuation due to adverse effects (risk ratio, 2.48; 95% CI, 1.26-4.88). Conclusions and relevance In this meta-analysis, viloxazine was associated with better efficacy in treating children and adolescents with ADHD than placebo. A moderate dose (200-400 mg or 6-8 mg/kg) may provide optimal treatment outcomes. Future studies are warranted to assess the long-term effect of viloxazine. Viloxazine was relatively well tolerated for children and adolescents with ADHD.
... Danielson et al. [34] also reported that 62% of children with ADHD take medication in the United States. While pharmaceutical treatments can be beneficial for managing ADHD symptoms, they can also have potential side effects including insomnia [35], appetite loss [36], as well as moodiness and delayed growth [37]. Moreover, the longterm benefits of this type of treatment may be limited and could disappear once the treatment is discontinued [38]. ...
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Background Prior research has found that children with attention-deficit hyperactivity disorder (ADHD) and reading difficulties (RD) are at an elevated risk of developing further cognitive deficits and developmental challenges [1]. ADHD and RD are characterized by a deficit in working memory, which negatively affects learning and behavior. The main aims of this study were to design a working memory training app and examine its effectiveness through a 5-week training program in Chinese children with ADHD and/or RD. Methods There were three experimental groups, with 26 participants in the ADHD group, 38 participants in the RD group, and 24 participants in the ADHD + RD group. The typically developing (TD) control group had 32 participants. All participants completed the pretest and posttest assessments on executive function and reading performance. Results The findings indicate that the experimental groups improved performance in verbal and visual-spatial working memory as well as Chinese word reading. There was an overall reduction in functional impairment following the training, in contrast to the TD group. Conclusion This study showed that working memory can be improved through computerized training in children with ADHD and/or RD. The implications of future research in working memory are discussed. Trial registration Clinical Trials Identifier: NCT06567444 (retrospectively registered) on 20 August 2024.
... and parent-reported quality of life among children and adolescents with ADHD [2]. The reported side effects of methylphenidate were considered "non-serious" in this review. ...
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Background Methylphenidate is a psychostimulant treatment widely prescribed in children and adolescents with attention deficit hyperactivity disorder. Although published studies are reassuring regarding the safety and tolerability of this treatment in the short and long term, there are case studies that have reported the possibility of serious adverse effects following methylphenidate initiation in children and adolescents. Case presentation In the present study, we illustrate the case of a 13-year-old adolescent, who was diagnosed with autism spectrum disorder, attention deficit hyperactivity disorder, and other psychiatric comorbidities. The patient developed active suicidal ideation a few weeks after initiating methylphenidate. He also presented irritability accentuation, insomnia, decreased appetite, and an increase in temper tantrums after initiation of this treatment. Psychiatric evaluation, according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), did not reveal major psychiatric disorders that could explain them, particularly mood disorders. The risk of suicide was assessed as high indicating a hospitalization and the immediate discontinuation of this treatment. The evolution was marked by a disappearance of suicidal thoughts 2 days after discontinuation of methylphenidate and a clear decrease in symptoms of poor tolerance. The authors were unable to establish a cause-and-effect link between the prescription of methylphenidate and the appearance of suicidal thoughts in this patient, but the results of studies already published seem to provide clues that could explain this link. Conclusions The purpose of this work is to alert clinicians to the possibility that young people who have multiple neurodevelopmental disorders may experience suicidal thoughts after starting methylphenidate even in the absence of mood disorders. The link between the prescription of this treatment and the onset of suicidal ideation is not as clear and requires more controlled studies. This suggests particular attention, such as informing the young people and their families beforehand and planning rigorous psychiatric evaluations after the prescription.
... Our confidence in the results is limited due to high risk of bias, incomplete reporting, small trial sizes, varied symptom scales, short treatment durations, and 41% industry funding, making long-term effects of methylphenidate unclear [8]. Instead, Cortese and colleagues refer to the previous version of our review [9]. Yet our conclusions and certainty of evidence were the same in the 2023 update as in its predecessor from 2015. ...
... El análisis muestra que el uso de metilfenidato tiene un impacto positivo en los síntomas de TDAH informados por los maestros y la calidad de vida informada por los padres. Todos los estudios incluidos informaron eventos adversos no graves en sistema nervioso, sistema digestivo, sistema urinario, sistema circulatorio, respiratorio, reproductivo, esquelético, muscular, inmunológicas (14) . ...
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Background: Methylphenidate (MFD) is a drug widely used in the world for the treatment of ADHD (attention deficit hyperactivity disorder). Several adverse effects have been reported with its use, such as growth retardation in the pediatric population, but the available scientific evidence is limited, and a consensus has not yet been reached to determine whether MFD really produces such an effect. Material and methods: A search in PubMed, Cochrane Library, academic Google and a synthesis of available evidence on the growth and use of methylphenidate in the child and adolescent population were analyzed through a Systematic Review type study where previous publications were analyzed. Results: 07 articles have been selected to evaluate the effect of methylphenidate on growth in infants and adolescents to assess the impact of growth in such a population. Conclusion: It is concluded that there is insufficient evidence on the affectation of growth, there are no long-term studies to confirm this action, in such a way that it cannot be affirmed that there is an important weight loss in the growth of children and adolescents
... Os riscos para indivíduos saudáveis usando MPH não foram totalmente elucidados, uma vez que dados de longo prazo não estão prontamente disponíveis. Embora vários estudos semelhantes dessa natureza tenham sido conduzidos em outros lugares, essas informações sobre as tendências nos países em desenvolvimento muitas vezes faltam(VOLKOW, SWANSON, 2013;STOREBØ et al., 2015).O potencial para abuso é enfatizado em toda a literatura e deve servir como um alerta para os médicos. No entanto, esse alerta é frequentemente ofuscado pelos muitos pacientes que têm uma resposta terapêutica positiva ao metilfenidato oral e não abusam dele. ...
Article
O cloridrato de metilfenidato, que estimula o sistema nervoso central (SNC) e atua liberando dopamina e norepinefrina no espaço sináptico. No Brasil, esse medicamento é comercializado como Ritalin® (Novartis) e Concerta® (JanssenCilag). As indicações legais para o uso do metilfenidato são crianças, jovens e adultos com diagnóstico de transtorno de déficit de atenção e hiperatividade (TDAH), nas quais o medicamento melhora o rendimento. A Convenção de Substâncias Psicotrópicas das Nações Unidas de 1971 classificou o metilfenidato como uma droga psicotrópica com risco de abuso e dependência, portanto, sua prescrição é controlada. Devido ao seu benefício para a cognição, o metilfenidato é frequentemente utilizado de forma livre e de rendimento acadêmico. Desta forma, o objetivo geral da presente pesquisa foi discutir o consumo da Ritalina (Cloridrato de Metilfenidato) dentro dos centros universitários, analisando os riscos de seu uso indiscriminado em estudantes. Metodologia: Trata-se de uma revisão de literatura na qual foram utilizadas as bases Pubmed, Scopus, Web of Science e Google Academics para pesquisa. O MPH é consumido por seus efeitos eufóricos ou para melhorar o desempenho acadêmico. Portanto, a maioria dos consumidores são estudantes, com aproveitamento escolar médio ou abaixo da média. Conclui-se, portanto, que a pesquisa foi destinada à importância de haver uma estratégia de conscientização à saúde e uso racional deste medicamento, com o objetivo de diminuir o consumo entre os estudantes e orientá-los ao uso apropriado, e não indiscriminado.
... While effective, adverse effects and stigma are noteworthy, indicating the importance of developing alternate approaches [28]. Significant adverse effects of stimulant medications may include cardiovascular and growth effects and the potential for misuse, after both shorter-term and prolonged courses of treatment [27,29,30]. These concerns may influence parental hesitation and reluctance to initiate stimulant treatment for their children and, thus, limit the treatment's utility. ...
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Purpose of Review This review explores the role of vitamin D in the pathophysiology and management of attention-deficit/hyperactivity disorder (ADHD). Given the localization of Vitamin D receptors in brain regions implicated in ADHD and vitamin D's role in neurotransmitter regulation, this review synthesizes research that examines vitamin D's relationship to the development and therapeutic outcomes of ADHD. Recent Findings A systematic literature search resulted in the selection of seven reviews meeting the inclusion criteria. These reviews summarize original studies that are focused on: 1. The association between prenatal Vitamin D levels and ADHD in offspring, with meta-analyses suggesting that higher maternal serum Vitamin D levels reduce the likelihood and severity of ADHD symptoms in children. 2. Comparative analyses of Vitamin D levels in children with ADHD versus those without, showing lower Vitamin D levels in affected children. 3. Intervention studies where Vitamin D supplementation was linked to improvements in ADHD symptoms. Results Seven reviews met the inclusion criteria, from which the main results were: 1. Meta-analyses suggested a decreased risk of offspring with ADHD and fewer or less severe ADHD-related features later in life with higher maternal serum Vitamin D levels. 2. Children with ADHD were found to have lower serum Vitamin D levels than children without ADHD across the original literature. 3. Vitamin D supplementation was associated with improvements in ADHD symptoms. Summary The literature supports relationships between Vitamin D levels and ADHD, both in its emergence and clinical management. Despite these findings, further research is indicated. There remains a need for additional well-powered randomized clinical trials to provide evidence and guide clinical practice regarding the use of Vitamin D in ADHD and to ensure that interventions are efficacious, well tolerated and tailored to individual patients.
... environment, preterm birth, preeclampsia, hypoxia events, and maternal prenatal smoking exposure (52,53). Extensive evidence from numerous cohort studies and meta-analyses published in recent decades supports the evaluation of pharmacological, nonpharmacological, and combined treatment options for managing ADHD (54)(55)(56). Multiple studies have shown that supplementing PUFA, especially n-3 PUFA, has a positive impact on improving ADHD symptoms and cognitive function (57)(58)(59). Due to the side effects of commonly used drugs for treating ADHD, many families are seeking alternative therapies for ADHD, such as supplementing with fatty acids. ...
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Background Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder of childhood, and pathogenesis is not fully understood. Observational studies suggest an association between fatty acids abnormalities and ADHD, but there are contradictions and differences between these findings. To address this uncertainty, we employed a two-sample bidirectional Mendelian Randomization (MR) analysis to investigate the causal relationship between fatty acids and ADHD. Methods We conducted a two-sample Mendelian Randomization (MR) study, selecting single nucleotide polymorphisms (SNPs) highly correlated with fatty acid levels from the CHARGE Consortium as our instruments. The outcome data were sourced from the Psychiatric Genomics Consortium (PGC) dataset on ADHD, comprising 225,534 individuals, with 162,384 cases and 65,693 controls. Inverse variance weighting, MR-Egger, and weighted median methods were employed to estimate the causal relationship between fatty acids and ADHD. Cochran’s Q-test was used to quantify heterogeneity of instrumental variables. Sensitivity analyses included MR-Egger intercept tests, leave-one-out analyses, and funnel plots. Results The MR analysis revealed no significant associations between genetically predicted levels of various saturated, monounsaturated, and polyunsaturated fatty acids (including omega-3 and omega-6) and ADHD risk in the CHARGE and PGC cohorts. Notably, an initial association with Dihomo-gamma-linolenic acid (DGLA) (OR = 1.009, p = 0.032 by IVW) did not persist after correction for multiple testing (adjusted p-value = 0.286). Sensitivity analysis supported our findings, indicating robustness. Moreover, there was a lack of evidence supporting a causal link from ADHD to fatty acids. Conclusion While our study on the basis of genetic data does not provide evidence to support the causal role of fatty acids in ADHD, it does not preclude their potential involvement in reducing the risk of ADHD. Further research is needed to explore this possibility.
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Background Psychiatric comorbidity is frequent among persons with attention-deficit/hyperactivity disorder (ADHD). Whether pharmacological treatment of ADHD influences the incidence of psychiatric comorbidity is uncertain. Objective To investigate associations and causal relations between pharmacological treatment of ADHD and incidence of subsequent comorbid psychiatric diagnoses. Methods We employed registry data covering all individuals aged 5–18 years in Norway who were diagnosed with ADHD during 2009–2011 (n=8051), followed until 2020. We used linear probability models (LPM) and instrumental variable (IV) analyses to examine associations and causal effects, respectively, between pharmacological treatment and subsequent comorbidity. Findings From time of ADHD diagnosis to 9 years of follow-up, 63% of patients were registered with comorbid psychiatric disorders. For males, LPM showed associations between ADHD medication and several incident comorbidities, but strength and direction of associations and consistency over time varied. For females, no associations were statistically significant. IV analyses for selected categories isolating effects among patients ‘on the margin of treatment’ showed a protective effect for a category of stress-related disorders in females and for tic disorders in males for the first 2 and 3 years of pharmacological treatment, respectively. Conclusions Overall, LPM and IV analyses did not provide consistent or credible support for long-term effects of pharmacological treatment on later psychiatric comorbidity. However, IV results suggest that for patients on the margin of treatment, pharmacological treatment may initially reduce the incidence of certain categories of comorbid disorders. Clinical implications Clinicians working with persons with ADHD should monitor the effects of ADHD medication on later psychiatric comorbidity. Trial registration number ISRCTN11891971 .
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This is the protocol for a review and there is no abstract. The objectives are as follows: To assess the harmful effects of methylphenidate treatment for children and adolescents with attention deficit hyperactivity disorder (ADHD) in non-randomised studies.
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Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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Background: Attention deficit hyperactivity disorder (ADHD) is one of the most commonly diagnosed and treated psychiatric disorders in childhood. Typically, children with ADHD find it difficult to pay attention, they are hyperactive and impulsive.Methylphenidate is the drug most often prescribed to treat children and adolescents with ADHD but, despite its widespread use, this is the first comprehensive systematic review of its benefits and harms. Objectives: To assess the beneficial and harmful effects of methylphenidate for children and adolescents with ADHD. Search methods: In February 2015 we searched six databases (CENTRAL, Ovid MEDLINE, EMBASE, CINAHL, PsycINFO, Conference Proceedings Citations Index), and two trials registers. We checked for additional trials in the reference lists of relevant reviews and included trials. We contacted the pharmaceutical companies that manufacture methylphenidate to request published and unpublished data. Selection criteria: We included all randomised controlled trials (RCTs) comparing methylphenidate versus placebo or no intervention in children and adolescents aged 18 years and younger with a diagnosis of ADHD. At least 75% of participants needed to have an intellectual quotient of at least 70 (i.e. normal intellectual functioning). Outcomes assessed included ADHD symptoms, serious adverse events, non-serious adverse events, general behaviour and quality of life. Data collection and analysis: Seventeen review authors participated in data extraction and risk of bias assessment, and two review authors independently performed all tasks. We used standard methodological procedures expected within Cochrane. Data from parallel-group trials and first period data from cross-over trials formed the basis of our primary analyses; separate analyses were undertaken using post-cross-over data from cross-over trials. We used Trial Sequential Analyses to control for type I (5%) and type II (20%) errors, and we assessed and downgraded evidence according to the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach for high risk of bias, imprecision, indirectness, heterogeneity and publication bias. Main results: The studies.We included 38 parallel-group trials (5111 participants randomised) and 147 cross-over trials (7134 participants randomised). Participants included individuals of both sexes, at a boys-to-girls ratio of 5:1, and participants' ages ranged from 3 to 18 years across most studies (in two studies ages ranged from 3 to 21 years). The average age across all studies was 9.7 years. Most participants were from high-income countries.The duration of methylphenidate treatment ranged from 1 to 425 days, with an average duration of 75 days. Methylphenidate was compared to placebo (175 trials) or no intervention (10 trials). Risk of Bias.All 185 trials were assessed to be at high risk of bias. Primary outcomes. Methylphenidate may improve teacher-rated ADHD symptoms (standardised mean difference (SMD) -0.77, 95% confidence interval (CI) -0.90 to -0.64; 19 trials, 1698 participants; very low-quality evidence). This corresponds to a mean difference (MD) of -9.6 points (95% CI -13.75 to -6.38) on the ADHD Rating Scale (ADHD-RS; range 0 to 72 points; DuPaul 1991a). A change of 6.6 points on the ADHD-RS is considered clinically to represent the minimal relevant difference. There was no evidence that methylphenidate was associated with an increase in serious (e.g. life threatening) adverse events (risk ratio (RR) 0.98, 95% CI 0.44 to 2.22; 9 trials, 1532 participants; very low-quality evidence). The Trial Sequential Analysis-adjusted intervention effect was RR 0.91 (CI 0.02 to 33.2). Secondary outcomes: Among those prescribed methylphenidate, 526 per 1000 (range 448 to 615) experienced non-serious adverse events, compared with 408 per 1000 in the control group. This equates to a 29% increase in the overall risk of any non-serious adverse events (RR 1.29, 95% CI 1.10 to 1.51; 21 trials, 3132 participants; very low-quality evidence). The Trial Sequential Analysis-adjusted intervention effect was RR 1.29 (CI 1.06 to 1.56). The most common non-serious adverse events were sleep problems and decreased appetite. Children in the methylphenidate group were at 60% greater risk for trouble sleeping/sleep problems (RR 1.60, 95% CI 1.15 to 2.23; 13 trials, 2416 participants), and 266% greater risk for decreased appetite (RR 3.66, 95% CI 2.56 to 5.23; 16 trials, 2962 participants) than children in the control group.Teacher-rated general behaviour seemed to improve with methylphenidate (SMD -0.87, 95% CI -1.04 to -0.71; 5 trials, 668 participants; very low-quality evidence).A change of seven points on the Child Health Questionnaire (CHQ; range 0 to 100 points; Landgraf 1998) has been deemed a minimal clinically relevant difference. The change reported in a meta-analysis of three trials corresponds to a MD of 8.0 points (95% CI 5.49 to 10.46) on the CHQ, which suggests that methylphenidate may improve parent-reported quality of life (SMD 0.61, 95% CI 0.42 to 0.80; 3 trials, 514 participants; very low-quality evidence). Authors' conclusions: The results of meta-analyses suggest that methylphenidate may improve teacher-reported ADHD symptoms, teacher-reported general behaviour, and parent-reported quality of life among children and adolescents diagnosed with ADHD. However, the low quality of the underpinning evidence means that we cannot be certain of the magnitude of the effects. Within the short follow-up periods typical of the included trials, there is some evidence that methylphenidate is associated with increased risk of non-serious adverse events, such as sleep problems and decreased appetite, but no evidence that it increases risk of serious adverse events.Better designed trials are needed to assess the benefits of methylphenidate. Given the frequency of non-serious adverse events associated with methylphenidate, the particular difficulties for blinding of participants and outcome assessors point to the advantage of large, 'nocebo tablet' controlled trials. These use a placebo-like substance that causes adverse events in the control arm that are comparable to those associated with methylphenidate. However, for ethical reasons, such trials should first be conducted with adults, who can give their informed consent.Future trials should publish depersonalised individual participant data and report all outcomes, including adverse events. This will enable researchers conducting systematic reviews to assess differences between intervention effects according to age, sex, comorbidity, type of ADHD and dose. Finally, the findings highlight the urgent need for large RCTs of non-pharmacological treatments.
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Background The literature on the prevalence of mental disorders affecting children and adolescents has expanded significantly over the last three decades around the world. Despite the field having matured significantly, there has been no meta-analysis to calculate a worldwide-pooled prevalence and to empirically assess the sources of heterogeneity of estimates.Methods We conducted a systematic review of the literature searching in PubMed, PsycINFO, and EMBASE for prevalence studies of mental disorders investigating probabilistic community samples of children and adolescents with standardized assessments methods that derive diagnoses according to the DSM or ICD. Meta-analytical techniques were used to estimate the prevalence rates of any mental disorder and individual diagnostic groups. A meta-regression analysis was performed to estimate the effect of population and sample characteristics, study methods, assessment procedures, and case definition in determining the heterogeneity of estimates.ResultsWe included 41 studies conducted in 27 countries from every world region. The worldwide-pooled prevalence of mental disorders was 13.4% (CI 95% 11.3–15.9). The worldwide prevalence of any anxiety disorder was 6.5% (CI 95% 4.7–9.1), any depressive disorder was 2.6% (CI 95% 1.7–3.9), attention-deficit hyperactivity disorder was 3.4% (CI 95% 2.6–4.5), and any disruptive disorder was 5.7% (CI 95% 4.0–8.1). Significant heterogeneity was detected for all pooled estimates. The multivariate metaregression analyses indicated that sample representativeness, sample frame, and diagnostic interview were significant moderators of prevalence estimates. Estimates did not vary as a function of geographic location of studies and year of data collection. The multivariate model explained 88.89% of prevalence heterogeneity, but residual heterogeneity was still significant. Additional meta-analysis detected significant pooled difference in prevalence rates according to requirement of funcional impairment for the diagnosis of mental disorders.Conclusions Our findings suggest that mental disorders affect a significant number of children and adolescents worldwide. The pooled prevalence estimates and the identification of sources of heterogeneity have important implications to service, training, and research planning around the world.
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Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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The medical literature is biased and inundated with poor quality trials. Ian Roberts and colleagues explain how these problems affect systematic reviews and how they might be overcome Information on the effectiveness and safety of healthcare should be valid, precise, up to date, clear, and freely available. Currently none of these criteria are fully satisfied, and Cochrane systematic reviews are not the solution. In this article we explain why the knowledge system for healthcare is unfit for purpose and suggest how it should change. Because the medical literature contains a biased sample of trials, systematic reviews that are based on it are also biased.1 Despite decades of exhortation about trial publication, about half of all trials are unpublished, and even the most diligent efforts to synthesise the results from all (or an unbiased sample of) relevant trials are in vain.1 2 Even when trials are identified selective outcome reporting limits their validity.3 4 The literature is awash with low quality, underpowered, single centre trials and the trend is upwards. As Altman recognised over 20 years ago “much poor research arises because researchers feel compelled for career reasons to carry out research that they are ill equipped to perform, and nobody stops them.”5 The systematic review movement is renowned for its obsessive zeal to find every published trial, irrespective of size or quality. These efforts have increased the accessibility of many trials that should never have been conducted. Their citation in reviews perpetuates the problem by contributing to the impact factor of the journals that published them. In the United Kingdom, the funding provided to Cochrane review groups is proportional to the number of trials included in reviews, creating a financial incentive to find and include every trial regardless of its quality. Most journal editors and systematic …
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Objective. —To determine if inadequate approaches to randomized controlled trial design and execution are associated with evidence of bias in estimating treatment effects. Design. —An observational study in which we assessed the methodological quality of 250 controlled trials from 33 meta-analyses and then analyzed, using multiple logistic regression models, the associations between those assessments and estimated treatment effects. Data Sources. —Meta-analyses from the Cochrane Pregnancy and Childbirth Database. Main Outcome Measures. —The associations between estimates of treatment effects and inadequate allocation concealment, exclusions after randomization, and lack of double-blinding. Results. —Compared with trials in which authors reported adequately concealed treatment allocation, trials in which concealment was either inadequate or unclear (did not report or incompletely reported a concealment approach) yielded larger estimates of treatment effects ( P P =.01), with odds ratios being exaggerated by 17%. Conclusions. —This study provides empirical evidence that inadequate methodological approaches in controlled trials, particularly those representing poor allocation concealment, are associated with bias. Readers of trial reports should be wary of these pitfalls, and investigators must improve their design, execution, and reporting of trials. ( JAMA . 1995;273:408-412)