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The Effect of Fiber Supplementation on Irritable Bowel Syndrome: A Systematic Review and Meta-analysis

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Objectives: Fiber has been used for many years to treat irritable bowel syndrome (IBS). This approach had fallen out of favor until a recent resurgence, which was based on new randomized controlled trial (RCT) data that suggested it might be effective. We have previously conducted a systematic review of fiber in IBS, but new RCT data for fiber therapy necessitate a new analysis; thus, we have conducted a systematic review of this intervention. Methods: MEDLINE, EMBASE, and the Cochrane Controlled Trials Register were searched up to December 2013. Trials recruiting adults with IBS, which compared fiber supplements with placebo, control therapy, or "usual management", were eligible. Dichotomous symptom data were pooled to obtain a relative risk (RR) of remaining symptomatic after therapy as well as number needed to treat (NNT) with a 95% confidence interval (CI). Results: We identified 14 RCTs involving 906 patients that had evaluated fiber in IBS. There was a significant benefit of fiber in IBS (RR=0.86; 95% CI 0.80-0.94 with an NNT=10; 95% CI=6-33). There was no significant heterogeneity between results (I(2)=0%, Cochran Q=13.85 (d.f.=14), P=0.46). The benefit was only seen in RCTs on soluble fiber (RR=0.83; 95% CI 0.73-0.94 with an NNT=7; 95% CI 4-25) with no effect seen with bran (RR=0.90; 95% CI 0.79-1.03). Conclusions: Soluble fiber is effective in treating IBS. Bran did not appear to be of benefit, although we did not uncover any evidence of harm from this intervention, as others have speculated from uncontrolled data.
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© 2014 by the American College of Gastroenterology The A meri can Jour nal of GASTROENTEROLOGY
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CLINICAL AND SYSTEMATIC REVIEWS
INTRODUCTION
Irritable bowel syndrome (IBS) is a relatively modern term ( 1 ) for a
lower gastrointestinal (GI) symptom complex that has been described
for centuries, with notable gures such as Beethoven possibly su er-
ing from this disorder ( 2 ). Fiber supplementation has a long history
in the management of functional lower GI disorders, although, more
recently, there has been caution expressed in the use of ber in IBS
as it may exacerbate certain symptoms in some patients ( 3 ). We have
previously conducted a systematic review of ber supplementation
in IBS and found that there was RCT evidence that this approach
did reduce overall IBS symptoms, particularly with psyllium-based
products ( 4 ). is was based on small studies that usually had an
unclear risk of bias and hence the quality of evidence was low ( 5 ).
Since then, further randomized controlled trial (RCT) evidence
( 6 ) has been published. We have therefore updated our systematic
review on ber supplementation in the treatment for IBS.
METHODS
Search strategy and study selection
A search of the medical literature was conducted using MEDLINE
(1946 to December 2013), EMBASE, and EMBASE Classic
The Effect of Fiber Supplementation on Irritable Bowel
Syndrome: A Systematic Review and Meta-analysis
Paul Moayyedi , BSc, MB, ChB, PhD, MPH, FRCP, FRCPC, AGAF, FACG
1 , Eamonn M.M. Quigley , MD, FRCP, FACP, FACG, FRCPI
2 ,
Brian E. Lacy , MD, PhD, FACG
3 , Anthony J. Lembo , MD, FACG
4 , Yuri A. Saito , MD, MPH, FACG
5 , Lawrence R. Schiller , MD, FACP, FACG
6 ,
Edy E. So er , MD, FACG
7 , Brennan M.R. Spiegel , MD, MSHS, FACG
8 and Alexander C. Ford , MB, ChB, MD
9 , 10
OBJECTIVES: Fiber has been used for many years to treat irritable bowel syndrome (IBS). This approach had fallen
out of favor until a recent resurgence, which was based on new randomized controlled trial (RCT)
data that suggested it might be effective. We have previously conducted a systematic review of fi ber
in IBS, but new RCT data for fi ber therapy necessitate a new analysis; thus, we have conducted a
systematic review of this intervention.
METHODS: MEDLINE, EMBASE, and the Cochrane Controlled Trials Register were searched up to December
2013. Trials recruiting adults with IBS, which compared fi ber supplements with placebo, control
therapy, or usual management , were eligible. Dichotomous symptom data were pooled to obtain a
relative risk (RR) of remaining symptomatic after therapy as well as number needed to treat (NNT)
with a 95 % confi dence interval (CI).
RESULTS: We identifi ed 14 RCTs involving 906 patients that had evaluated fi ber in IBS. There was a signifi cant
benefi t of fi ber in IBS (RR = 0.86; 95 % CI 0.80 0.94 with an NNT = 10; 95 % CI = 6 33). There was
no signifi cant heterogeneity between results ( I
2 = 0 % , Cochran Q = 13.85 (d.f. = 14), P = 0.46). The
benefi t was only seen in RCTs on soluble fi ber (RR = 0.83; 95 % CI 0.73 0.94 with an NNT = 7; 95 %
CI 4 25) with no effect seen with bran (RR = 0.90; 95 % CI 0.79 1.03).
CONCLUSIONS: Soluble fi ber is effective in treating IBS. Bran did not appear to be of benefi t, although we did not
uncover any evidence of harm from this intervention, as others have speculated from uncontrolled data.
Am J Gastroenterol 2014; 109:1367–1374; doi: 10.1038/ajg.2014.195; published online 29 July 2014
1 Health Sciences Center, Farncombe Family Digestive Health Research Institute, McMaster University , Hamilton , Ontario , Canada ;
2 Division of Gastroenterology
and Hepatology, Department of Medicine, Houston Methodist Hospital , Houston , Texas , USA ;
3 Dartmouth-Hitchcock Medical Center, Division of Gastroenterology
and Hepatology, One Medical Center Drive , Lebanon , New Hampshire, USA ;
4 The Beth Israel Deaconess Medical Center , Boston , Massachusetts , USA ;
5 Division
of Gastroenterology and Hepatology, Mayo Clinic , Rochester , Minnesota , USA ;
6 Digestive Health Associates of Texas, Baylor University Medical Center , Dallas ,
Texas , USA ;
7 Division of Gastroenterology at Cedars-Sinai, University of Southern California , Los Angeles , California , USA ;
8 Department of Gastroenterology, VA
Greater Los Angeles Healthcare System , Los Angeles , California , USA ;
9 Leeds Gastroenterology Institute, St. James s University Hospital , Leeds , UK ;
10 Leeds
Institute of Biomedical and Clinical Sciences, University of Leeds , Leeds , UK . Correspondence: Paul Moayyedi, BSc, MB, ChB, PhD, MPH, FRCP, FRCPC,
AGAF, FACG , Health Sciences Center, Farncombe Family Digestive Health Research Institute, McMaster University , Hamilton , Ontario , Canada L8N 3Z5 .
E-mail: moayyep@mcmaster.ca
Received 28 February 2014; accepted 3 June 2014
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Moayyedi et al.
(1947 to December 2013), and the Cochrane central register of
controlled trials. RCTs examining the e ect of supplementing
the diet with ber in adult patients (over the age of 16 years) with
IBS were eligible for inclusion ( Box 1 ). We contacted the authors
of studies that evaluated functional GI disorders that could have
included IBS, but did not report this group of patients sepa-
rately. Similarly, we contacted original investigators of studies
that did not report dichotomous data but were otherwise eligible
for inclusion in the systematic review to explore whether these
data were available.
e literature search was performed as part of a broader exer-
cise to inform an update of the ACG monograph on the manage-
ment of IBS. Speci cally, studies on IBS were identi ed with the
terms irritable bowel syndrome a n d functional diseases, colon ( b o t h
as medical subject heading (MeSH) and free text terms), and IBS ,
spastic colon , irritable colon , o r functional a d j 5 bowel ( a s f r e e t e x t
terms). ese were combined using the set operator AND with
dietary ber , cereals , psyllium , sterculia , karaya gum (both as MeSH
terms and free text terms), or the following free text terms: bulking
agent , psyllium bre , bre , husk , bran , ispaghula , o r wheat bran .
Articles in any language were eligible and were translated when
appropriate. Abstracts were also eligible, and conference proceed-
ings from United European Gastroenterology Week and Digestive
Diseases Week between 2001 and 2013 were hand-searched to
identify potentially eligible studies published only in abstract form.
We also performed a recursive search of the literature from the
bibliographies of all relevant studies retrieved from the electronic
search. Two masked reviewers assessed potentially relevant articles
using predesigned eligibility forms, according to the prospectively
de ned eligibility criteria ( Box 1 ). We resolved any disagreement
between investigators by consensus.
Outcome assessment
e primary outcome was de ned as global improvement in IBS
symptoms. If this was not available then improvement in abdom-
inal pain was taken as the primary outcome. When more than
one de nition was provided for improvement in the primary
outcome, the most stringent de nition with the lowest placebo
response rate was taken. Secondary outcomes included quality of
life and adverse events.
Data extraction
Two reviewers independently recorded data from eligible stud-
ies onto a Microso Excel spreadsheet (XP professional edition;
Microso , Redmond, WA). In addition to the primary outcome
( Box 2 ), the following clinical data were extracted for each trial:
setting (primary, secondary, or tertiary care-based), number
of centers, country of origin, type of ber supplementation,
duration of therapy, total number of adverse events reported,
criteria used to de ne IBS, primary outcome measure used to
de ne symptom improvement or cure following therapy, dura-
tion of follow-up, proportion of female patients, and propor-
tion of patients according to predominant stool pattern. Data
were extracted as intention-to-treat analyses, with all dropouts
assumed to be treatment failures, whenever trial reporting
allowed this.
Assessment of risk of bias
Two independent reviewers assessed the risk of bias using the
Cochrane handbook risk of bias tool ( 7 ). is evaluates the
method of randomization, whether allocation was concealed,
method of blinding, the completeness of follow-up, whether there
was evidence of selective outcome reporting, and other biases.
Box 1. Eligibility criteria
Randomized controlled trials
Adults (participants aged > 16 years)
Diagnosis of irritable bowel syndrome (IBS) based on either a clinician s opinion or meeting specifi c diagnostic criteria (Manning,
Kruis score, Rome I, II, or III).
Compared fi ber supplementation with placebo or no therapy.
Minimum duration of therapy 7 days.
Minimum duration of follow-up 7 days.
Dichotomous assessment of response to therapy in terms of effect on global IBS symptoms or abdominal pain following therapy
(Preferably patient-reported, but if this was not available then as assessed by a physician or questionnaire data.).
Box 2. Data extraction methodology
Outcome of interest: improvement in global irritable bowel syndrome (IBS) symptoms preferable; if not reported then improve-
ment in abdominal pain.
Reporting of outcomes: patient-reported preferable; if not available then investigator-reported.
Time of assessment: upon completion of therapy.
Denominator used: true intention-to-treat analysis; if not available then all evaluable patients.
Cutoff used for dichotomization: any improvement in global IBS symptoms or abdominal pain for Likert-type scales, investigator-de-
ned improvement for continuous scales; if no investigator defi nition was available we used 1 s.d. decrease in symptom score from
baseline to completion of therapy (we assessed whether the use of any decrease in symptom score from baseline to completion of
therapy altered our analysis).
© 2014 by the American College of Gastroenterology The A meri can Jour nal of GASTROENTEROLOGY
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Fiber Supplementation in IBS
with two at high risk ( 19,12 ); the remaining were unclear. Eleven
trials used a clinical diagnosis of IBS supplemented by negative
investigations to de ne the condition, with only one study using
the Manning criteria combined with negative investigations ( 20 ),
one the Rome I criteria combined with negative investigations
( 24 ), and one the Rome III criteria ( 12 ).
ere was a statistically signi cant e ect in favor of ber com-
pared with placebo (RR of IBS not improving = 0.86; 95 % CI
0.80 0.94, Figure 2 ) w i t h a n n u m b e r n e e d e d t o t r e a t o f 1 0 ( 9 5 %
CI = 6 33). ere was no signi cant heterogeneity between results
( I 2 = 0 % , C o c h r a n Q = 1 3 . 8 5 ( d . f . = 1 4 ) , P = 0 . 4 6 ) . S u b g r o u p a n a l y -
sis showed no major di erences in e cacy according to duration
of therapy, de nition of IBS, and various quality criteria, includ-
ing the proportion of subjects followed up, whether the study was
double-blind, whether the method of randomization was stated,
and whether the study had a low, unclear, or high risk of bias
( Ta bl e 2 ) .
Bran vs. soluble fi ber
Six studies used bran in a total of 441 patients (6, 12, 13, 18, 19,
23), seven studies used ispaghula husk in a total of 499 patients
( 6,15 18,21,22 ), and the remaining studies used concentrated
ber ( 23 ), or linseeds ( 12 ). Bran had no statistically signi cant
e ect on the treatment of IBS (RR of IBS not improving = 0.90;
95 % CI 0.79 1.03, P = 0.14; Figure 2 ), but ispaghula was e ective
in treating IBS symptoms (RR of IBS not improving = 0.83; 95 % CI
0.73 0.94, P = 0.005; Figure 2 ). e number needed to treat with
ispaghula was 7 (95 % CI 4 25). Numerically the risk ratio was not
Data synthesis and statistical analysis
Global IBS symptoms or abdominal pain persisting with interven-
tion compared with control was expressed as a relative risk (RR)
with 95 % con dence intervals (CIs). Data were pooled using a
random-e ects model ( 8 ) to allow for any heterogeneity between
studies. Adverse events data were also summarized with RRs. e
number needed to treat and the number needed to harm, with
95 % CIs, were calculated from the reciprocal of the risk di erence
of the meta-analysis.
H e t e r o g e n e i t y b e t w e e n s t u d i e s w a s a s s e s s e d u s i n g b o t h t h e
I 2 - s t a t i s t i c w i t h a c u t o of 5 0 % a n d t h e χ 2 - t e s t w i t h a P v a l u e < 0 . 1 0 ,
used to de ne a signi cant degree of heterogeneity ( 9 ). When the
degree of statistical heterogeneity was greater than this between
trial results in this meta-analysis, possible explanations were inves-
tigated using subgroup analyses according to type of intervention,
trial setting, criteria used to de ne IBS, whether method of ran-
domization or concealment of allocation was reported, level of
blinding, and risk of bias of included trials. We compared indi-
vidual RRs between these analyses using the Cochran Q - s t a t i s t i c .
ese were exploratory analyses only and may explain some of the
observed variability, and hence the results should be interpreted
with caution.
R e v i e w M a n a g e r v e r s i o n 5 . 1 . 4 ( R e v M a n f o r W i n d o w s 2 0 0 8 , t h e
Nordic Cochrane Centre, Copenhagen, Denmark) and StatsDirect
version 2.7.7 (StatsDirect, Sale, Cheshire, UK) were used to gener-
ate Forest plots of pooled RRs and RDs for primary and secondary
outcomes with 95 % CIs, as well as funnel plots. e latter were
assessed for evidence of asymmetry, and therefore for possible
publication bias or other small study e ects, using the Egger test
( 10 ), if there were 10 or more eligible studies included in the meta-
analysis ( 11 ).
RESULTS
e search strategy identi ed a total of 343 citations, of which
29 were evaluated and 14 were eligible for the systematic review
( Figure 1 ). e agreement between reviewers regarding eligibil-
ity for inclusion in the review was perfect ( κ - s t a t i s t i c = 1 . 0 ) . is
update of our previous systematic review and meta-analysis on
ber in IBS ( 5 ) identi ed an additional two studies ( 6,12 ), which
increased the number of patients included in the analysis substan-
tially.
Overall effi cacy of fi ber supplementation in the treatment
of IBS
ere were 14 RCTs ( 6,12 24 ) involving 906 patients. A summary
of the eligible trials is given in Ta b le 1 . e majority of trials did
not di erentiate between the type of IBS patients recruited, with
only ve studies providing data on this ( 6,12,21 24 ), two of which
recruited only IBS-C patients. ( 23,24 ). e proportion of women
in trials ranged between 20 and 90 % . Ten trials were double-blind
(6,13,15 18,20 23), two were single blind ( 14,24 ), and two were
open label ( 19,12 ), but only four reported adequate methods of
randomization ( 6,14,15,12 ) and only one described adequate con-
cealment of allocation ( 6 ). Only one trial was at low risk of bias ( 6 ),
343 Papers
identified by the
search
- 6 No placebo arm
- 5 Data not extractable
- 2 Not IBS
- 1 No fiber arm
- 1 Duplicate
14 Papers eligible
15 Papers excluded
Figure 1 . Flow diagram of assessment of studies identifi ed in the updated
ber and irritable bowel syndrome (IBS) systematic review and meta-
analysis.
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Moayyedi et al.
Table 1 . Characteristics of randomized controlled trials (RCTs) of fi ber vs. placebo in irritable bowel syndrome (IBS)
Author Design Participants Interventions Methodology Outcomes
Soltoft et al. ( 13 ) Danish RCT,
single center
Author-defi ned IBS. 59
Patients from tertiary
care. 64 % female
Miller’s bran biscuits vs.
wheat biscuits for
6 weeks.
Laxatives allowed as
rescue medication
Method of randomization and
concealment of allocation not
stated. Double-blind. 12 %
Loss of follow-up. No selective
reporting
Global assessment of
IBS symptoms on Likert
scale. Much or slightly
improved from baseline
symptoms
Manning et al. ( 14 ) English RCT,
single center
Author-defi ned IBS.
26 Patients recruited
from tertiary care. 46 %
Female
60 ml Unprocessed
wheat bran or 170 g
whole-wheat bread daily
vs. low-fi ber diet for 6
weeks.
Unclear if other IBS
medications allowed
Method of randomization stated.
Method of concealment of
allocation not stated. Investigator-
blinded. 8 % Loss of follow-up.
No selective reporting
Percentage of days on
which pain charted by
patient in special chart.
Improvement in
percentage of day’s
pain charted before and
after study
Ritchie and Truelove
( 15 )
English RCT,
single center
Author-defi ned IBS.
100 Patients recruited
from tertiary care. 77 %
Female.
Ispaghula husk vs.
placebo for 3 months.
Unclear if other IBS
medications allowed
Method of randomization stated.
Method of concealment of alloca-
tion not stated. Double-blind. 4 %
Loss of follow-up. No selective
reporting
Dichotomous assess-
ment of IBS symptoms:
improved or not
improved
Longstreth et al. ( 16 ) US RCT, single
center
Author-defi ned IBS. 77
Patients recruited from
secondary care. 83 %
Female
Ispaghula vs. placebo
for 8 weeks. No other
IBS medications al-
lowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 22 %
Loss of follow-up. No selective
reporting
Global assessment of
IBS symptoms on Likert
scale. Much or a little
better from baseline
symptoms
Arthurs and Fielding
( 17 )
Irish RCT,
single center
Author-defi ned IBS. 80
Patients recruited from
secondary care. 78 %
Female.
Ispaghula husk vs.
placebo for 4 weeks.
Unclear if other IBS
medications allowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 2.5 %
Loss of follow-up. No selective
reporting
Global assessment of
IBS symptoms on Likert
scale. Resolved or
improved from baseline
symptoms
Nigam et al. ( 18 ) Indian RCT,
single center
Author-defi ned IBS.
168 Patients recruited
from secondary care.
45 % Female
Ispaghula husk vs.
placebo for 3 months.
Unclear if other IBS
medications allowed
Method of randomization
and concealment of allocation
not stated. Double-blind.
Apparently no one lost to
follow-up. No selective reporting
Dichotomous
assessment of IBS:
improved or not
improved
Kruis et al.
( 19 ) German RCT,
single center
Author-defi ned IBS.
120 Patients recruited
from tertiary care.
62.5 % Female
15 g wheat bran per
day vs. placebo for 16
weeks. No other IBS
medications allowed
Method of randomization and
concealment of allocation not
stated. Unblinded. 17.5 %
Loss of follow-up. No selective
reporting
Global assessment of
IBS symptoms on Likert
scale. Disappeared or
improved from baseline
symptoms
Lucey et al. ( 20 ) English RCT,
single center
Manning IBS. 44
Patients recruited from
tertiary care. 79 %
Female
Bran biscuits vs.
placebo biscuits for
3 months. Unclear if
other IBS medications
allowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 36 %
Loss of follow-up. No selective
reporting
Total IBS questionnaire
symptom score (unclear
if validated). Lower
score after treatment
indicated symptom
improvement
Prior and Whorwell ( 21 ) English RCT,
single center
Author-defi ned IBS. 80
Patients recruited from
tertiary care. 49 % Con-
stipation predominant.
90 % Female
Ispaghula husk vs.
placebo for 12 weeks.
Unclear if other IBS
medications allowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 29 %
Loss of follow-up. No selective
reporting
Overall improvement in
well-being discussed
with patient, and rated
as satisfactory or
unsatisfactory
Jalihal and Kurian ( 22 ) Indian RCT,
single center
Author-defi ned IBS.
22 Patients recruited
from secondary care.
20 % Female. 25 %
had
constipation, 75 % had
diarrhea
Ispaghula husk vs.
placebo for 4 weeks. No
other IBS medications
allowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 9 % Loss of
follow-up. No selective reporting
Dichotomous assess-
ment of IBS:
improved or no
change
Fowlie et al. ( 23 ) Scottish RCT,
single center
Author-defi ned IBS. 51
Patients recruited from
tertiary care. 100 %
Constipation predomi-
nant or mixed.
65 % Female
Concentrated fi ber vs.
placebo for 3 months.
Unclear if other IBS
medications allowed
Method of randomization and
concealment of allocation not
stated. Double-blind. 14 %
Loss of follow-up. No selective
reporting
Global assessment
of IBS symptoms on
Likert scale. Generally
better from baseline
symptoms
Table 1 continued on following page
© 2014 by the American College of Gastroenterology The A meri can Jour nal of GASTROENTEROLOGY
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Fiber Supplementation in IBS
Table 1 . Continued.
Author Design Participants Interventions Methodology Outcomes
Rees et al. ( 24 ) English RCT,
number
of centers
unclear
Rome I IBS. 28 Patients
recruited from tertiary
care. 100 % Constipa-
tion predominant.
Unclear what proportion
were female
10 20 g Of coarse
wheat bran per day
vs. placebo for 8 12
weeks. Unclear if
other IBS medications
allowed
Method of randomization and
concealment of allocation not
stated. Patient-blinded. 21 %
Loss of follow-up. No selective
reporting
Patients interviewed
using a questionnaire
(unclear if validated)
asking if any perceived
improvement in symp-
toms
Bijkerk et al. ( 6 ) Dutch RCT,
multicenter
Author-defi ned or Rome
II IBS.
275 Patients recruited
from primary care. C
56 % , D 25 % , M 19 %
79 % Female
20 g Ispaghula husk or
20 g bran per day vs.
placebo for 12 weeks.
Unclear if other IBS
medications allowed
Method of randomization and
concealment of allocation stated.
Double-blind. 40 % Loss to fol-
low-up. No selective reporting
Adequate relief of IBS-
related abdominal pain
or discomfort in the last
week, with responders
defi ned as those with
adequate relief for 2 out
of the last 4 weeks
Cockerell et al. ( 12 ) English RCT,
number
of centers
unclear
Rome III IBS. 40
Patients Recruited
From Primary And
Secondary Care. C
34 % , D 37.5 % 66 % Fe
24 g Linseeds per day
for 4 weeks vs. no
treatment for 4 weeks.
Other IBS medications
allowed
Method of randomization stated,
concealment of allocation not
stated. Unblinded. 30 % Loss to
follow-up. No selective reporting
Decrease of 50 points
in the IBS-symptom
severity score
Study or subgroup
Bran
Soltoft, 1976
Manning, 1977
Kruis, 1986
Lucey, 1987
Rees, 2005
Bijkerk, 2009
Subtotal (95% Cl)
Total events
Heterogeneity: !2 = 0.00; "2 = 2.76, d.f. = 5 (P = 0.74); l2 = 0%
Test for overall effect: Z = 1.47 (P = 0.14)
Total events
Heterogeneity: not applicable
Test for overall effect: Z = 1.75 (P = 0.08)
Heterogeneity: !2 = 0.01; "2 = 7.32, d.f. = 6 (P = 0.29); l2 = 18%
Test for overall effect: Z = 2.80 (P = 0.005)
Ispaghula
Linseeds
Fibre (unspecified)
Cockerell, 2012
Fowlie, 1992
Subtotal (95% Cl)
Total events
Total (95% Cl)
Total events
Heterogeneity: not applicable
Heterogeneity: !2 = 0.00; "2 = 13.85, d.f. = 14 (P = 0.46); l2 = 0%
Test for overall effect: Z = 3.50 (P = 0.0005)
Test for subgroup differences: "2 = 3.95, d.f. = 3 (P = 0.27), l2 = 24.1%
Test for overall effect: Z = 0.79 (P = 0.43)
Subtotal (95% Cl)
Ritchie, 1979
Longstreth, 1981
Arthurs, 1983
Nigam, 1984
Prior, 1987
Jalihal, 1990
Bijkerk, 2009
Subtotal (95% Cl)
Total events
17
7
29
3
6
66
32
14
40
14
14
97
211
12
7
28
4
7
75
133128
27
12
40
14
14
93
200
2.4%
1.3%
8.6%
0.4%
1.0%
23.5%
37.2%
7
17
11
13
33
2
60
143
12
37
40
21
40
11
85
12
16
14
21
37
3
178
75
246
12
40
38
21
40
9
93
253
2.9%
2.5%
1.6%
5.9%
23.8%
0.3%
23.3%
60.2%
1.20 (0.70, 2.04) 1976
1977
1986
1987
2005
2009
1979
1981
1983
1984
1987
1990
2009
0.86 (0.42, 1.74)
1.04 (0.78, 1.37)
0.75 (0.20, 2.75)
0.86 (0.39, 1.91)
0.84 (0.71, 1.00)
0.90 (0.79, 1.03)
0.60 (0.37, 0.97)
9 27 8 13 1.4% 20120.54 (0.27, 1.07)
27
98
13 1.4% 0.54 (0.27, 1.07)
10 25 7 24 1.1%
1.1%
0.1 0.2
Favors fiber Favors control
0.5 1 2 5 10
19921.37 (0.62, 3.01)
25
10
290
509
326
490 100.0% 0.86 (0.80, 0.94)
7
24 1.37 (0.62, 3.01)
1.15 (0.69, 1.92)
0.75 (0.39, 1.43)
0.63 (0.45, 0.88)
0.89 (0.75, 1.05)
0.55 (0.11, 2.59)
0.88 (0.74, 1.04)
0.83 (0.73, 0.94)
Fiber
Events Total Events Total Weight
Risk Ratio Risk ratio
M-H, random, 95% Cl M-H, random, 95% ClYear
Placebo or no treatment
Figure 2 . Forest plot of randomized controlled trials (RCTs) of fi ber vs. placebo or no treatment in irritable bowel syndrome (IBS).
The A meri can Jour nal of GASTROENTEROLOGY VOLUME 109 | SEPTEMBER 2014 www.amjgastro.com
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Moayyedi et al.
dramatically di erent between bran and soluble ber but this is
driven by one trial ( 6 ). is trial also concluded that soluble ber
was superior to bran, but this is not as apparent in the meta-analy-
sis as there was a statistically signi cant e ect of bran at week 12
but no e ect at weeks 4 and 8. Bran was statistically signi cant at
week 12 largely because responders remained stable from weeks 8
to 12, whereas the placebo response fell. When this study ( 6 ) was
excluded there was no e ect of bran on IBS symptoms (RR = 1.02;
95 % CI = 0.82 1.27). Similarly when week 8 of therapy was used
for this trial ( 6 ) rather than week 12, there was no trend toward
bene t of bran (RR = 0.98; 95 % CI = 0.85 1.13).
Safety of fi ber
Data on overall adverse events were provided only by six trials
( 6,18,19,21,23,12 ). ese trials evaluated a total of 566 patients,
with 130 (38.8 % ) of 335 patients receiving ber reporting
adverse events, compared with 63 (27.3 % ) of 231 in the placebo
arms. Overall, there was no statistically signi cant increase in
adverse events with ber compared with placebo (RR of adverse
event = 1.06; 95 % CI 0.92 1.22). When only trials that used ispa-
ghula were included in the analysis, the RR of adverse events was
1.14 (95 % CI 0.94 1.38), and when only RCTs of bran were con-
sidered the RR was 0.97 (95 % CI 0.79 1.20).
DISCUSSION
We have updated our previous systematic review and meta-analysis
( 10 ) of ber supplementation as a treatment for IBS. Our previous
systematic review identi ed 12 papers evaluating 591 IBS patients
and found that soluble, but not insoluble, ber was e ective in
reducing overall symptoms. e monograph that evaluated this sys-
tematic review was criticized ( 25 ) as it o en evaluated small studies
of poor quality. Indeed the ber data it incorporated were based on
a relatively small number of participants; thus, the 95 % CIs were
wide and relied on studies of suboptimal quality with none achiev-
ing a low risk of bias. Since the publication of that systematic review
( 4 ) there has been another RCT ( 6 ) that by itself includes more than
half the sample size of the original systematic review. Together with
another small trial ( 12 ) the updated systematic review suggests
once again that soluble ber is e ective in treating IBS symptoms,
but with more con dence than previously reported.
O u r c o n c l u s i o n i s d i erent from the Cochrane systematic
review evaluating ber in IBS ( 26 ). is review found that there
was no bene t of either type of ber in IBS, although there was a
trend toward bene t for soluble ber. is review is now 5 years
old and has not included the large trial ( 6 ) that was reported sub-
sequently. It is, however, interesting that we had suggested in our
previous review ( 4 ) that soluble ber was e ective in IBS using the
Table 2 . Subgroup analysis of randomized controlled trials of fi ber vs. placebo in IBS
Parameter No. of papers No. of patients
a
Relative risk (95 % CI) Heterogeneity
Duration of therapy
12 Weeks 9 529 0.86 (076 0.96) I
2 =13 % , χ
2 P =0.33
8 Weeks 6
b 458
b 0.84 (0.69 1.02) I
2 =8 % , χ
2 P =0.36
Defi nition of IBS
Author defi ned 10 535 0.88 (0.75 1.03) I
2 =25 % , χ
2 P =0.21
Manning / Rome 4 274 0.85 (0.72 1.00) I
2 =0 % , χ
2 P =0.59
Completeness of follow
80 % Follow 8 378 0.84 (0.67 1.06) I
2 =35 % , χ
2 P =0.15
< 80 % Follow 6 431 0.88 (0.79 0.99) I
2 =0 % , χ
2 P =0.69
Masking
Double blind 10 635 0.85 (0.75 0.97) I
2 =14 % , χ
2 P =0.31
Single blind 2 54 0.86 (0.50 1.46) I
2 =0 % , χ
2 P =1.00
Not blind 2 120 0.81 (0.43 1.52) I
2 =68 % , χ
2 P =0.08
Randomization
Adequate 3 228 0.83 (0.69 1.00) I
2 =6 % , χ
2 P =0.34
Unclear 11 581 0.89 (0.77 1.02) I
2 =12 % , χ
2 P =0.33
Risk of bias
Low 1 178 0.88 (0.74 1.04) Not applicable
Unclear / high 13 631 0.86 (0.75 0.99) I
2 =13 % , χ
2 P =0.32
CI, confi dence interval; IBS, irritable bowel syndrome.
a Bijkerk et al. ( 6 ) had two intervention arms, bran and psyllium only the psyllium arm was used in subgroup analyses.
b Studies that provided earlier time points to complete this fi eld were used but this only applied to Bijkerk et al. ( 6 ). This study was used in both the 8-week and
12-week analyses using the 8- and 12-week time point data as appropriate.
© 2014 by the American College of Gastroenterology The A meri can Jour nal of GASTROENTEROLOGY
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Fiber Supplementation in IBS
conclusions drawn from it. ere remains a paucity of high-qual-
ity studies, and additional trials using modern designs optimized
to reduce bias may a ect our estimate of e ect size. In particular,
studies to evaluate the impact of ber in speci c IBS subgroups
may demonstrate di erent e ects in distinct symptom subgroups.
Additional weaknesses of existing studies include variations in a
number of clinical factors, such as the de nition of IBS, settings,
and duration of therapy. It is reassuring, however, that subgroup
analyses do not suggest that these factors have a major impact on
the conclusions of the review.
In summary, our analyses of these data suggest that there is
moderate-quality evidence that ber is e ective in IBS. Given that
ber is inexpensive and generally thought to be safe (especially
compared with the available drugs approved for IBS), ber sup-
plementation should remain a useful rst-line approach for man-
aging IBS patients.
ACKNOWLEDGMENTS
is study was performed to inform the American College of
Gastroenterology Monograph on irritable bowel syndrome.
CONFLICT OF INTEREST
Guarantor of the article : Paul Moayyedi, BSc, MB, ChB, PhD,
MPH, FRCP, FRCPC, AGAF, FACG.
Speci c author contributions : P.M., E.M.M.Q., B.E.L., A.J.L., Y.A.S.,
L.R.S., E.E.S., B.M.R.S., and A.C.F. conceived the study. P.M. and
A.C.F. collected all data. P.M. and A.C.F. analyzed and interpreted the
data. P.M. dra ed the manuscript. All authors commented on dra s of
the paper. All authors have approved the nal dra of the manuscript.
Financial support : is study was supported by the American
College of Gastroenterology.
Potential competing interests : None.
Study Highlights
WHAT IS CURRENT KNOWLEDGE
3 Fiber supplementation has been used to treat irritable
bowel syndrome (IBS).
3 We have conducted a systematic review that indicated this
approach may be effi cacious but evidence was of low quality.
WHAT IS NEW HERE
3 There is now considerably more randomized trial evidence
on fi ber and IBS.
3 Fiber supplementation is effective in improving global IBS
symptoms.
3 The effect of fi ber in IBS appears to be limited to soluble
ber.
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Context There is still debate regarding the effect of nutritional interventions in improving irritable bowel syndrome (IBS) symptoms. Objectives The aim was to examine the evidence certainty and validity of all existing meta-analyses of intervention trials on nutritional interventions in patients with IBS. Data Sources Scopus, PubMed, and Web of Science were reviewed until June 2023. Data Extraction Meta-analyses assessing the impacts of nutritional interventions in adults with IBS were entered. Effect sizes of nutritional interventions were recalculated by applying a random-effects model. GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) was implemented to determine evidence certainty. Results A total of 175 trials in 58 meta-analyses were entered describing the effects of 11 nutritional interventions on IBS-related outcomes. Nutritional interventions had beneficial effects on some IBS-related outcomes. For instance, soluble fiber, peppermint oil, and aloe vera improved IBS symptoms, and vitamin D3 and curcumin improved IBS symptom severity. Tongxieyaofang improved abdominal pain severity and stool frequency. Nevertheless, these outcomes have mainly shown small effects and low to very low evidence certainty. With regard to abdominal pain after probiotic supplementation (relative risk [RR]: 4.04; 95% confidence interval [CI]: 2.36, 6.92; GRADE = moderate) and IBS symptoms after a low–fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAP) diet (RR: 1.48; 95% CI: 1.14, 1.93; GRADE = moderate), there was evidence that probiotics and a low-FODMAP diet can confer clinical and favorable effects. Conclusion The current review does not support nutritional interventions for improving IBS symptoms. With regard to probiotics and a low-FODMAP diet, considering limitations like short-term study duration, there was an influential clinical impact. Systematic Review Registration PROSPERO registration no. CRD42023429991.
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Despite years of advising patients to alter their dietary and supplementary fiber intake, the evidence surrounding the use of fiber for functional bowel disease is limited. This paper outlines the organization of fiber types and highlights the importance of assessing the fermentation characteristics of each fiber type when choosing a suitable strategy for patients. Fiber undergoes partial or total fermentation in the distal small bowel and colon leading to the production of short-chain fatty acids and gas, thereby affecting gastrointestinal function and sensation. When fiber is recommended for functional bowel disease, use of a soluble supplement such as ispaghula/psyllium is best supported by the available evidence. Even when used judiciously, fiber can exacerbate abdominal distension, flatulence, constipation, and diarrhea.Am J Gastroenterol advance online publication, 2 April 2013; doi:10.1038/ajg.2013.63.
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Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in the results of meta-analyses. Funnel plot asymmetry should not be equated with publication bias, because it has a number of other possible causes. This article describes how to interpret funnel plot asymmetry, recommends appropriate tests, and explains the implications for choice of meta-analysis modelThe 1997 paper describing the test for funnel plot asymmetry proposed by Egger et al 1 is one of the most cited articles in the history of BMJ.1 Despite the recommendations contained in this and subsequent papers,2 3 funnel plot asymmetry is often, wrongly, equated with publication or other reporting biases. The use and appropriate interpretation of funnel plots and tests for funnel plot asymmetry have been controversial because of questions about statistical validity,4 disputes over appropriate interpretation,3 5 6 and low power of the tests.2This article recommends how to examine and interpret funnel plot asymmetry (also known as small study effects2) in meta-analyses of randomised controlled trials. The recommendations are based on a detailed MEDLINE review of literature published up to 2007 and discussions among methodologists, who extended and adapted guidance previously summarised in the Cochrane Handbook for Systematic Reviews of Interventions.7What is a funnel plot?A funnel plot is a scatter plot of the effect estimates from individual studies against some measure of each study’s size or precision. The standard error of the effect estimate is often chosen as the measure of study size and plotted on the vertical axis8 with a reversed scale that places the larger, most powerful studies towards the top. The effect estimates from smaller studies should scatter more widely at the bottom, with the spread narrowing among larger studies.9 In the absence of bias and between study heterogeneity, the scatter will be due to sampling variation alone and the plot will resemble a symmetrical inverted funnel (fig 1⇓). A triangle centred on a fixed effect summary estimate and extending 1.96 standard errors either side will include about 95% of studies if no bias is present and the fixed effect assumption (that the true treatment effect is the same in each study) is valid. The appendix on bmj.com discusses choice of axis in funnel plots.View larger version:In a new windowDownload as PowerPoint SlideFig 1 Example of symmetrical funnel plot. The outer dashed lines indicate the triangular region within which 95% of studies are expected to lie in the absence of both biases and heterogeneity (fixed effect summary log odds ratio±1.96×standard error of summary log odds ratio). The solid vertical line corresponds to no intervention effectImplications of heterogeneity, reporting bias, and chance Heterogeneity, reporting bias, and chance may all lead to asymmetry or other shapes in funnel plots (box). Funnel plot asymmetry may also be an artefact of the choice of statistics being plotted (see appendix). The presence of any shape in a funnel plot is contingent on the studies having a range of standard errors, since otherwise they would lie on a horizontal line.Box 1: Possible sources of asymmetry in funnel plots (adapted from Egger et al1)Reporting biasesPublication bias: Delayed publication (also known as time lag or pipeline) bias Location biases (eg, language bias, citation bias, multiple publication bias)Selective outcome reportingSelective analysis reportingPoor methodological quality leading to spuriously inflated effects in smaller studiesPoor methodological designInadequate analysisFraudTrue heterogeneitySize of effect differs according to study size (eg, because of differences in the intensity of interventions or in underlying risk between studies of different sizes)ArtefactualIn some circumstances, sampling variation can lead to an association between the intervention effect and its standard errorChanceAsymmetry may occur by chance, which motivates the use of asymmetry testsHeterogeneityStatistical heterogeneity refers to differences between study results beyond those attributable to chance. It may arise because of clinical differences between studies (for example, setting, types of participants, or implementation of the intervention) or methodological differences (such as extent of control over bias). A random effects model is often used to incorporate heterogeneity in meta-analyses. If the heterogeneity fits with the assumptions of this model, a funnel plot will be symmetrical but with additional horizontal scatter. If heterogeneity is large it may overwhelm the sampling error, so that the plot appears cylindrical.Heterogeneity will lead to funnel plot asymmetry if it induces a correlation between study sizes and intervention effects.5 For example, substantial benefit may be seen only in high risk patients, and these may be preferentially included in early, small studies.10 Or the intervention may have been implemented less thoroughly in larger studies, resulting in smaller effect estimates compared with smaller studies.11Figure 2⇓ shows funnel plot asymmetry arising from heterogeneity that is due entirely to there being three distinct subgroups of studies, each with a different intervention effect.12 The separate funnels for each subgroup are symmetrical. Unfortunately, in practice, important sources of heterogeneity are often unknown.View larger version:In a new windowDownload as PowerPoint SlideFig 2 Illustration of funnel plot asymmetry due to heterogeneity, in the form of three distinct subgroups of studies. Funnel plot including all studies (top left) shows clear asymmetry (P<0.001 from Egger test for funnel plot asymmetry). P values for each subgroup are all >0.49.Differences in methodological quality may also cause heterogeneity and lead to funnel plot asymmetry. Smaller studies tend to be conducted and analysed with less methodological rigour than larger studies,13 and trials of lower quality also tend to show larger intervention effects.14 15Reporting biasReporting biases arise when the dissemination of research findings is influenced by the nature and direction of results. Statistically significant “positive” results are more likely to be published, published rapidly, published in English, published more than once, published in high impact journals, and cited by others.16 17 18 19 Data that would lead to negative results may be filtered, manipulated, or presented in such a way that they become positive.14 20 Reporting biases can have three types of consequence for a meta-analysis:A systematic review may fail to locate an eligible study because all information about it is suppressed or hard to find (publication bias) A located study may not provide usable data for the outcome of interest because the study authors did not consider the result sufficiently interesting (selective outcome reporting) A located study may provide biased results for some outcome—for example, by presenting the result with the smallest P value or largest effect estimate after trying several analysis methods (selective analysis reporting).These biases may cause funnel plot asymmetry if statistically significant results suggesting a beneficial effect are more likely to be published than non-significant results. Such asymmetry may be exaggerated if there is a further tendency for smaller studies to be more prone to selective suppression of results than larger studies. This is often assumed to be the case for randomised trials. For instance, it is probably more difficult to make a large study disappear without trace, while a small study can easily be lost in a file drawer.21 The same may apply to specific outcomes—for example, it is difficult not to report on mortality or myocardial infarction if these are outcomes of a large study. Smaller studies have more sampling error in their effect estimates. Thus even though the risk of a false positive significant finding is the same, multiple analyses are more likely to yield a large effect estimate that may seem worth publishing. However, biases may not act this way in real life; funnel plots could be symmetrical even in the presence of publication bias or selective outcome reporting19 22—for example, if the published findings point to effects in different directions but unreported results indicate neither direction. Alternatively, bias may have affected few studies and therefore not cause glaring asymmetry.ChanceThe role of chance is critical for interpretation of funnel plots because most meta-analyses of randomised trials in healthcare contain few studies.2 Investigations of relations across studies in a meta-analysis are seriously prone to false positive findings when there is a small number of studies and heterogeneity across studies,23 and this may affect funnel plot symmetry.Interpreting funnel plot asymmetryAuthors of systematic reviews should distinguish between possible reasons for funnel plot asymmetry (box 1). Knowledge of the intervention, and the circumstances in which it was implemented in different studies, can help identify causes of asymmetry in funnel plots, which should also be interpreted in the context of susceptibility to biases of research in the field of interest. Potential conflicts of interest, whether outcomes and analyses have been standardised, and extent of trial registration may need to be considered. For example, studies of antidepressants generate substantial conflicts of interest because the drugs generate vast sales revenues. Furthermore, there are hundreds of outcome scales, analyses can be very flexible, and trial registration was uncommon until recently.24 Conversely, in a prospective meta-analysis where all data are included and all analyses fully standardised and conducted according to a predetermined protocol, publication or reporting biases cannot exist. Reporting bias is therefore more likely to be a cause of an asymmetric plot in the first situation than in the second.Terrin et al found that researchers were poor at identifying publication bias from funnel plots.5 Including contour lines corresponding to perceived milestones of statistical significance (P=0.01, 0.05, 0.1, etc) may aid visual interpretation.25 If studies seem to be missing in areas of non-significance (fig 3⇓, top) then asymmetry may be due to reporting bias, although other explanations should still be considered. If the supposed missing studies are in areas of higher significance or in a direction likely to be considered desirable to their authors (fig 3⇓, bottom), asymmetry is probably due to factors other than reporting bias. View larger version:In a new windowDownload as PowerPoint SlideFig 3 Contour enhanced funnel plots. In the top diagram there is a suggestion of missing studies in the middle and right of the plot, broadly in the white area of non-significance, making publication bias plausible. In the bottom diagram there is a suggestion of missing studies on the bottom left hand side of the plot. Since most of this area contains regions of high significance, publication bias is unlikely to be the underlying cause of asymmetryStatistical tests for funnel plot asymmetryA test for funnel plot asymmetry (sometimes referred to as a test for small study effects) examines whether the association between estimated intervention effects and a measure of study size is greater than might be expected to occur by chance. These tests typically have low power, so even when a test does not provide evidence of asymmetry, bias cannot be excluded. For outcomes measured on a continuous scale a test based on a weighted linear regression of the effect estimates on their standard errors is straightforward.1 When outcomes are dichotomous and intervention effects are expressed as odds ratios, this corresponds to an inverse variance weighted linear regression of the log odds ratio on its standard error.2 Unfortunately, there are statistical problems because the standard error of the log odds ratio is mathematically linked to the size of the odds ratio, even in the absence of small study effects.2 4 Many authors have therefore proposed alternative tests (see appendix on bmj.com).4 26 27 28Because it is impossible to know the precise mechanism(s) leading to funnel plot asymmetry, simulation studies (in which tests are evaluated on large numbers of computer generated datasets) are required to evaluate test characteristics. Most have examined a range of assumptions about the extent of reporting bias by selectively removing studies from simulated datasets.26 27 28 After reviewing the results of these studies, and based on theoretical considerations, we formulated recommendations on testing for funnel plot asymmetry (box 2). The appendix describes the proposed tests, explains the reasons that some were not recommended, and discusses funnel plots for intervention effects measured as risk ratios, risk differences, and standardised mean differences. Our recommendations imply that tests for funnel plot asymmetry should be used in only a minority of meta-analyses.29Box 2: Recommendations on testing for funnel plot asymmetryAll types of outcomeAs a rule of thumb, tests for funnel plot asymmetry should not be used when there are fewer than 10 studies in the meta-analysis because test power is usually too low to distinguish chance from real asymmetry. (The lower the power of a test, the higher the proportion of “statistically significant” results in which there is in reality no association between study size and intervention effects). In some situations—for example, when there is substantial heterogeneity—the minimum number of studies may be substantially more than 10Test results should be interpreted in the context of visual inspection of funnel plots— for example, are there studies with markedly different intervention effect estimates or studies that are highly influential in the asymmetry test? Even if an asymmetry test is statistically significant, publication bias can probably be excluded if small studies tend to lead to lower estimates of benefit than larger studies or if there are no studies with significant resultsWhen there is evidence of funnel plot asymmetry, publication bias is only one possible explanation (see box 1)As far as possible, testing strategy should be specified in advance: choice of test may depend on the degree of heterogeneity observed. Applying and reporting many tests is discouraged: if more than one test is used, all test results should be reported Tests for funnel plot asymmetry should not be used if the standard errors of the intervention effect estimates are all similar (the studies are of similar sizes)Continuous outcomes with intervention effects measured as mean differencesThe test proposed by Egger et al may be used to test for funnel plot asymmetry.1 There is no reason to prefer more recently proposed tests, although their relative advantages and disadvantages have not been formally examined. General considerations suggest that the power will be greater than for dichotomous outcomes but that use of the test with substantially fewer than 10 studies would be unwiseDichotomous outcomes with intervention effects measured as odds ratiosThe tests proposed by Harbord et al26 and Peters et al27 avoid the mathematical association between the log odds ratio and its standard error when there is a substantial intervention effect while retaining power compared with alternative tests. However, false positive results may still occur if there is substantial between study heterogeneityIf there is substantial between study heterogeneity (the estimated heterogeneity variance of log odds ratios, τ2, is >0.1) only the arcsine test including random effects, proposed by Rücker et al, has been shown to work reasonably well.28 However, it is slightly conservative in the absence of heterogeneity and its interpretation is less familiar than for other tests because it is based on an arcsine transformation.When τ2 is <0.1, one of the tests proposed by Harbord et al,26 Peters et al,27 or Rücker et al28 can be used. Test performance generally deteriorates as τ2 increases.Funnel plots and meta-analysis modelsFixed and random effects modelsFunnel plots can help guide choice of meta-analysis method. Random effects meta-analyses weight studies relatively more equally than fixed effect analyses by incorporating the between study variance into the denominator of each weight. If effect estimates are related to standard errors (funnel plot asymmetry), the random effects estimate will be pulled more towards findings from smaller studies than the fixed effect estimate will be. Random effects models can thus have undesirable consequences and are not always conservative.30The trials of intravenous magnesium after myocardial infarction provide an extreme example of the differences between fixed and random effects analyses that can arise in the presence of funnel plot asymmetry.31 Beneficial effects on mortality, found in a meta-analysis of small studies,32 were subsequently contradicted when the very large ISIS-4 study found no evidence of benefit.33 A contour enhanced funnel plot (fig 4⇓) gives a clear visual impression of asymmetry, which is confirmed by small P values from the Harbord and Peters tests (P<0.001 and P=0.002 respectively).View larger version:In a new windowDownload as PowerPoint SlideFig 4 Contour enhanced funnel plot for trials of the effect of intravenous magnesium on mortality after myocardial infarctionFigure 5⇓ shows that in a fixed effect analysis ISIS-4 receives 90% of the weight, and there is no evidence of a beneficial effect. However, there is clear evidence of between study heterogeneity (P<0.001, I2=68%), and in a random effects analysis the small studies dominate so that intervention appears beneficial. To interpret the accumulated evidence, it is necessary to make a judgment about the validity or relevance of the combined evidence from the smaller studies compared with that from ISIS-4. The contour enhanced funnel plot suggests that publication bias does not completely explain the asymmetry, since many of the beneficial effects reported from smaller studies were not significant. Plausible explanations for these results are that methodological flaws in the smaller studies, or changes in the standard of care (widespread adoption of treatments such as aspirin, heparin, and thrombolysis), led to apparent beneficial effects of magnesium. This belief was reinforced by the subsequent publication of the MAGIC trial, in which magnesium added to these treatments which also found no evidence of benefit on mortality (odds ratio 1.0, 95% confidence interval 0.8 to 1.1).34View larger version:In a new windowDownload as PowerPoint SlideFig 5 Comparison of fixed and random effects meta-analytical estimates of the effect of intravenous magnesium on mortality after myocardial infarctionWe recommend that when review authors are concerned about funnel plot asymmetry in a meta-analysis with evidence of between study heterogeneity, they should compare the fixed and random effects estimates of the intervention effect. If the random effects estimate is more beneficial, authors should consider whether it is plausible that the intervention is more effective in smaller studies. Formal investigations of heterogeneity of effects may reveal explanations for funnel plot asymmetry, in which case presentation of results should focus on these. If larger studies tend to be methodologically superior to smaller studies, or were conducted in circumstances more typical of the use of the intervention in practice, it may be appropriate to include only larger studies in the meta-analysis.Extrapolation of a funnel plot regression lineAn assumed relation between susceptibility to bias and study size can be exploited by extrapolating within a funnel plot. When funnel plot asymmetry is due to bias rather than substantive heterogeneity, it is usually assumed that results from larger studies are more believable than those from smaller studies because they are less susceptible to methodological flaws or reporting biases. Extrapolating a regression line on a funnel plot to minimum bias (maximum sample size) produces a meta-analytical estimate that can be regarded as corrected for such biases.35 36 37 However, because it is difficult to distinguish between asymmetry due to bias and asymmetry due to heterogeneity or chance, the broad applicability of such approaches is uncertain. Further approaches to adjusting for publication bias are described and discussed in the appendix.DiscussionReporting biases are one of a number of possible explanations for the associations between study size and effect size that are displayed in asymmetric funnel plots. Examining and testing for funnel plot asymmetry, when appropriate, is an important means of addressing bias in meta-analyses, but the multiple causes of asymmetry and limited power of asymmetry tests mean that other ways to address reporting biases are also of importance. Searches of online trial registries can identify unpublished trials, although they do not currently guarantee access to trial protocols and results. When there are no registered but unpublished trials, and the outcome of interest is reported by all trials, restricting meta-analyses to registered trials should preclude publication bias. Recent comparisons of results of published trials with those submitted for regulatory approval have also provided clear evidence of reporting bias.38 39 Methods for dealing with selective reporting of outcomes have been described elsewhere. 40Our recommendations apply to meta-analyses of randomised trials, and their applicability in other contexts such as meta-analyses of epidemiological or diagnostic test studies is unclear.41 The performance of tests for funnel plot asymmetry in these contexts is likely to differ from that in meta-analyses of randomised trials. Further factors, such as confounding and precision of measurements, may cause a relation between study size and effect estimates in observational studies. For example, large studies based on routinely collected data might not fully control confounding compared with smaller, purpose designed studies that collected a wide range of potential confounding variables. Alternatively, larger studies might use self reported exposure levels, which are more error prone, while smaller studies used precise measuring instruments. However, simulation studies have usually not considered such situations. An exception is for diagnostic studies, where large imbalances in group sizes and substantial odds ratios lead to poor performance of some tests: that proposed by Deeks et al was designed for use in this context.4Summary points Inferences on the presence of bias or heterogeneity should consider different causes of funnel plot asymmetry and should not be based on visual inspection of funnel plots aloneThey should be informed by contextual factors, including the plausibility of publication bias as an explanation for the asymmetryTesting for funnel plot asymmetry should follow the recommendations detailed in this articleThe fixed and random effects estimates of the intervention effect should be compared when funnel plot asymmetry exists in a meta-analysis with between study heterogeneityNotesCite this as: BMJ 2011;342:d4002FootnotesContributors: All authors contributed to the drafting and editing of the manuscript. DA, JC, JD, RMH, JPTH, JPAI, DRJ, DM, JP, GR, JACS, AJS and JT contributed to the chapter in the Cochrane Handbook for Systematic Reviews of Interventions on which our recommendations on testing for funnel plot asymmetry are based. JACS will act as guarantor.Funding: Funded in part by the Cochrane Collaboration Bias Methods Group, which receives infrastructure funding as part of a commitment by the Canadian Institutes of Health Research (CIHR) and the Canadian Agency for Drugs and Technologies in Health (CADTH) to fund Canadian based Cochrane entities. This supports dissemination activities, web hosting, travel, training, workshops and a full time coordinator position. JPTH was funded by MRC Grant U.1052.00.011. DGA is supported by Cancer Research UK. GR was supported by a grant from Deutsche Forschungsgemeinschaft (FOR 534 Schw 821/2-2).Competing interests. JC, JJD, SD, RMH, JPAI, DRJ, PM, JP, GR, GS, JACS and AJS are all authors on papers proposing tests for funnel plot asymmetry, but have no commercial interests in the use of these tests. All authors have completed the ICJME unified disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare that they have no financial or non-financial interests that may be relevant to the submitted work.Provenance and peer review: Not commissioned; externally peer reviewed.References↵Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ1997;315:629-34.OpenUrlFREE Full Text↵Sterne JAC, Gavaghan D, Egger M. Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature. J Clin Epidemiol2000;53:1119-29.OpenUrlCrossRefMedlineWeb of Science↵Lau J, Ioannidis JP, Terrin N, Schmid CH, Olkin I. The case of the misleading funnel plot. 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The American Journal of Gastroenterology is published by Nature Publishing Group (NPG) on behalf of the American College of Gastroenterology (ACG). Ranked the #1 clinical journal covering gastroenterology and hepatology*, The American Journal of Gastroenterology (AJG) provides practical and professional support for clinicians dealing with the gastroenterological disorders seen most often in patients. Published with practicing clinicians in mind, the journal aims to be easily accessible, organizing its content by topic, both online and in print. www.amjgastro.com, *2007 Journal Citation Report (Thomson Reuters, 2008)
Book
The Cochrane Handbook for Systematic Reviews of Interventions (the Handbook) has undergone a substantial update, and Version 5 of the Handbook is now available online at www.cochrane-handbook.org and in RevMan 5. In addition, for the first time, the Handbook will soon be available as a printed volume, published by Wiley-Blackwell. We are anticipating release of this at the Colloquium in Freiburg. Version 5 of the Handbook describes the new methods available in RevMan 5, as well as containing extensive guidance on all aspects of Cochrane review methodology. It has a new structure, with 22 chapters divided into three parts. Part 1, relevant to all reviews, introduces Cochrane reviews, covering their planning and preparation, and their maintenance and updating, and ends with a guide to the contents of a Cochrane protocol and review. Part 2, relevant to all reviews, provides general methodological guidance on preparing reviews, covering question development, eligibility criteria, searching, collecting data, within-study bias (including completion of the Risk of Bias table), analysing data, reporting bias, presenting and interpreting results (including Summary of Findings tables). Part 3 addresses special topics that will be relevant to some, but not all, reviews, including particular considerations in addressing adverse effects, meta-analysis with non-standard study designs and using individual participant data. This part has new chapters on incorporating economic evaluations, non-randomized studies, qualitative research, patient-reported outcomes in reviews, prospective meta-analysis, reviews in health promotion and public health, and the new review type of overviews of reviews.
Article
Background: Manipulation of dietary fibre intake represents a longstanding treatment for patients with irritable bowel syndrome (IBS), particularly for those with constipation. Linseeds are often recommended by both clinicians and dietitians as a source of dietary fibre to alleviate symptoms. Recent guidance on the management of irritable bowel syndrome (IBS) advises that linseeds may reduce wind and bloating, although there is limited clinical evidence to support this recommendation. The present pilot study aimed to compare the clinical effectiveness of: (i) whole linseeds versus ground linseeds; (ii) whole linseeds versus no linseeds; and (iii) ground linseeds versus no linseeds in the management of IBS symptoms. Methods: In an open randomised controlled trial, subjects with IBS (n = 40) were allocated to one of three intervention groups: two tablespoons of whole linseeds per day (n = 14), two tablespoons of ground linseeds per day (n = 13) and no linseeds as controls (n = 13). Symptom severity (primary outcome) and bowel habit were assessed before and after a 4-week intervention and statistical differences between the groups were compared. Results: Thirty-one subjects completed the present study. Between-group analysis comparing the improvement in symptom severity did not reach statistical significance for whole linseeds (n = 11) versus ground linseeds (n = 11; P = 0.62), whole linseeds versus controls (n = 9; P = 0.12) and ground linseeds versus controls (P = 0.10). There were no significant changes in stool frequency or stool consistency for any of the groups. Conclusions: Linseeds may be useful in relief of IBS symptoms. Further research is needed to detect clear differences between the effects of whole and ground linseeds.
Article
Butyrate, an intestinal microbiota metabolite of dietary fiber, has been shown to exhibit protective effects toward inflammatory diseases such as ulcerative colitis (UC) and inflammation-mediated colorectal cancer. Recent studies have shown that chronic IFN-γ signaling plays an essential role in inflammation-mediated colorectal cancer development in vivo, whereas genome-wide association studies have linked human UC risk loci to IFNG, the gene that encodes IFN-γ. However, the molecular mechanisms underlying the butyrate-IFN-γ-colonic inflammation axis are not well defined. Here we showed that colonic mucosa from patients with UC exhibit increased signal transducer and activator of transcription 1 (STAT1) activation, and this STAT1 hyperactivation is correlated with increased T cell infiltration. Butyrate treatment-induced apoptosis of wild-type T cells but not Fas-deficient (Fas(lpr)) or FasL-deficient (Fas(gld)) T cells, revealing a potential role of Fas-mediated apoptosis of T cells as a mechanism of butyrate function. Histone deacetylase 1 (HDAC1) was found to bind to the Fas promoter in T cells, and butyrate inhibits HDAC1 activity to induce Fas promoter hyperacetylation and Fas upregulation in T cells. Knocking down gpr109a or slc5a8, the genes that encode for receptor and transporter of butyrate, respectively, resulted in altered expression of genes related to multiple inflammatory signaling pathways, including inducible nitric oxide synthase (iNOS), in mouse colonic epithelial cells in vivo. Butyrate effectively inhibited IFN-γ-induced STAT1 activation, resulting in inhibition of iNOS upregulation in human colon epithelial and carcinoma cells in vitro. Our data thus suggest that butyrate delivers a double-hit: induction of T cell apoptosis to eliminate the source of inflammation and suppression of IFN-γ-mediated inflammation in colonic epithelial cells, to suppress colonic inflammation.