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Observational Studies: Getting Clear about Transparency

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PLOS Medicine
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Abstract

The PLOS Medicine Editors endorse four measures to ensure transparency in the analysis and reporting of observational studies. Please see later in the article for the Editors' Summary.
Editorial
Observational Studies: Getting Clear about Transparency
The
PLOS Medicine
Editors
*
Extending the Standard
When publishing observational re-
search, what information should journals
make available to the medical community
before a result can be considered suffi-
ciently reliable to inform patient care or
health policy?
For clinical trials, editors and re-
searchers share the context of a reporting
standard (CONSORT and its modifica-
tions [1]), a requirement for prospective,
public registration of clinical trials [2],
and a number of laws (e.g., [3]) and
policies requiring data sharing. This
combination supports transparency in
the design, conduct, and reporting of
clinical trials, and has proven sufficiently
flexible to allow editors to define appro-
priate exceptions (e.g., [4]). Systematic
reviews and meta-analyses, which often
present a basis for clinical decisions, are
also subject to strict reporting guidelines
[5]. Public registration is available for
such studies, and PLOS Medicine has
long encouraged publication of the
review protocol alongside the study
report [6].
Should a similar framework apply to
observational studies? In a Guidance and
Guidelines article published recently in
PLOS Medicine, Peat and colleagues [7]
identify study registration, protocol publi-
cation, better study reporting, and data
sharing as key to improving the transpar-
ency of prognosis research, which encom-
passes both observational and interven-
tional studies. Case-control, cohort, and
cross-sectional studies, even when given
ethics review, are not subject to all of the
regulations that facilitate standardized
reporting of clinical trials. Nonetheless,
when observational studies provide the
best evidence available, they influence
clinical practice. Selective presentation of
analyses or non-publication of results can
therefore misinform patient care. As the
authors of the STROBE guidelines for
reporting observational studies have not-
ed, ‘‘Research should be reported trans-
parently so that readers can follow what
was planned, what was done, what was
found, and what conclusions were drawn’’
[8].
New Guidelines for
Observational Studies in
PLOS
Medicine
The PLOS Medicine editors, in recent
consultation with our editorial board,
endorse measures in four areas to advance
transparency in the analysis and reporting
of observational studies.
Quality of Study Reporting
PLOS Medicine already requires CON-
SORT checklists for the clinical trials that
we consider, and our current author
guidelines encourage authors to report
observational studies according to the
STROBE statement or its more special-
ized derivatives [8,9]. Additionally, we
endorse the following measure:
(1) Going forward PLOS Medi-
cine will require that the
STROBE checklist for co-
hort, case-control or cross-
sectional studies [10], and
the STARD checklist for
studies of diagnostic accu-
racy [11]are included with
manuscript submissions
and published alongside re-
ports of observational stud-
ies to which they apply.
Authors must complete the
appropriate reporting
checklist not only with page
references, but also with
sufficient text excerpted
from the manuscript to ex-
plain how they accom-
plished all applicable
items.
(Note: The EQUATOR Network
(www.equator-network.org) provides ac-
cess to reporting guidelines for additional
specific study types, and authors within the
particular research communities to which
they apply are encouraged to use these
guidelines when appropriate.)
Data Sharing
The PLOS data policy [12] lays out
requirements for data sharing in research
manuscripts submitted after March 1,
2014. Therefore,
(2) The PLOS Data Policy applies
to all research submitted to
PLOS Medicine, including ob-
servational studies.
Transparency Regarding What Was
Planned and What Was Done
Research reports should make clear the
distinction between hypothesis testing and
exploratory evaluation of research ques-
tions, each of which may have validity,
and both of which may occur in the same
manuscript. Consequently,
Citation: The PLOS Medicine Editors (2014) Observational Studies: Getting Clear about Transparency. PLoS
Med 11(8): e1001711. doi:10.1371/journal.pmed.1001711
Published August 26, 2014
Copyright: ß2014 The PLOS Medicine Editors. This is an open-access article distributed under the terms of
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in
any medium, provided the original author and source are credited.
Funding: The authors are each paid a salary by the Public Library of Science, and they wrote this editorial
during their salaried time.
Competing Interests: The authors’ individual competing interests are at http://www.plosmedicine.org/static/
editorsInterests.action. PLOS is funded partly through manuscript publication charges, but the PLOS Medic ine
Editors are paid a fixed salary (their salaries are not linked to the number of papers published in the
journal).
* E-mail: medicine_editors@plos.org
Provenance: Written by editorial staff; not externally peer reviewed
The PLOS Medicine Editors are Laureen Connell, Rhona MacDonald, Thomas McBride, Larry Peiperl, Amy Ross,
Paul Simpson, and Maggie Winker.
PLOS Medicine | www.plosmedicine.org 1 August 2014 | Volume 11 | Issue 8 | e1001711
(3) Going forward, PLOS Medi-
cine will require that reports
of observational studies
clearly specify the following
items:
(a) What specific hypotheses
the researchers intended
to test, and the analytical
methods by which they
planned to test them;
(b) What analyses they actual-
ly performed; and
(c) When reported analyses
differ from those that were
planned, authors must
provide transparent expla-
nations for differences
that affect the reliability
of the study’s results.
For example, if a reported analysis was
performed based on an interesting but
unanticipated pattern in the data, authors
must be clear that the analysis was data-
driven. If hypotheses that were not included
in the original study design later became
important to test because new evidence
became available from other studies, the
authors should explain the situation, so that
reviewers and readers need not wonder if
the additional analyses were driven post-
hoc by the authors’ own data.
Protocol Publication
PLOS Medicine already requires that
study protocols be submitted with reports
of clinical trials, and publishes these
alongside the accepted paper. According-
ly, for observational studies,
(4) Going forward, if a pros-
pective analysis plan (from
the study’s funding propos-
al, IRB or other ethics com-
mittee submission, study
protocol, or other planning
document written before
analyzing the data) was
used in designing an obser-
vational study, authors
must include the relevant
prospectively written docu-
ment with the manuscript
submission for access by
editors and reviewers and
eventual publication along-
side the accepted paper.
As with studies of any design, in some
cases the final analysis of an observational
study will necessarily differ from the
analysis plan (as a result of unforeseen
practical circumstances, changes requested
by peer reviewers, etc.). Under such
conditions, authors should explain why
analyses could not be completed as
planned, or why they had to be revised,
and thereby address potential concerns
over selective non-publication. If no pro-
spectively written document exists, authors
should explain how and when they
determined the analyses being reported.
Looking Forward: Registration?
Editors cannot anticipate, nor would we
desire to create rules for, every possible
situation. Ultimately readers must judge
the reliability of a study relative to their
own needs and criteria.
We believe that promoting transparency
by publishing prospective analysis plans
and accounting clearly for substantial
changes will help readers (including editors
and peer reviewers) to assess the reliability
of published observational research. Our
goal is not only to establish these practices
for PLOS Medicine but to advocate for
such transparency as a standard within the
research community.
We also recognize that no practice that
applies only to published reports can
guard against bias due to selective non-
publication of observational studies, an
issue that the open question of prospective
protocol registration could potentially
address [13–16]. ClinicalTrials.gov,
among other registries, already allows
registration of observational studies, and,
as technologies allowing the ‘‘flexibility to
update date-stamped protocols’’ [8] be-
come more widely available, it seems likely
that community standards for registration
will move toward the greater transparency
that such tools facilitate. At the same time,
new evidence published by Dwan and
colleagues in a recent issue of PLOS
Medicine indicate that, in the case of
clinical trials, substantial discrepancies
exist between registered and reported
analyses [17]. This result suggests that
prospective registration alone, should it
become the standard for observational
clinical research, will still be no sub-
stitute for a conscientious explanation of
differences between registered and actual
analyses.
Peat and colleagues have contributed to
this debate by calling for public registration
of prognostic research, arguing that
‘‘routine registration of all prognostic
studies, linked to an accessible study
protocol using agreed reporting guide-
lines, would improve transparency and
promote data sharing’’ [7]. They further
point out that protocol sharing and
registration are not equivalent: ‘‘Proto-
cols describe the rationale, objectives,
design, methodology, statistical consider-
ations, and organization of a study and
they present a research plan made before
the conduct of the study. Compared to
study registers, protocols contain more
detail, particularly about study design
and analysis plans.’’ Interestingly, while
registration of clinical trials is mandatory
under International Committee of Med-
ical Journal Editors (ICMJE) require-
ments, posting of trial protocols in
registries is optional [2].
The PLOS Medicine editors welcome
opportunities to collaborate with the
research community on issues of transpar-
ency and publication quality. We hope
authors will find our requirements con-
structive and will let us know of suggested
improvements. We encourage mem-
bers of the research community to
share your insights by commenting
on this editorial, either on the PLOS
Medicine site or in Pub Med Com-
mons, with thoughts on whether or
how medical journals should estab-
lish requirements for prospective,
public registration of observational
studies that are intended to inform
patient care or health policy. We
plan to revisit this issue in due course, and
your views will help us determine our
future direction.
Acknowledgments
The authors thank Dr. Virginia Barbour for her
comments on an earlier draft of this editorial,
and members of the PLOS Medicine Editorial
Board for thoughtful discussion of these issues.
Author Contributions
Wrote the first draft of the manuscript: LP.
Contributed to the writing of the manuscript:
LP LC RM AR PS MW TM. ICMJE criteria
for authorship read and met: LP LC RM AR
PS MW TM. Agree with manuscript results
and conclusions: LP LC RM AR PS MW
TM.
PLOS Medicine | www.plosmedicine.org 2 August 2014 | Volume 11 | Issue 8 | e1001711
References
1. Equator Network (2014) CONSORT 2010 State-
ment: updated guidelines for reporting parallel
group randomised trials. Available: http://www.
equator-network.org/reporting-guidelines/
consort/. Accessed 17 July 2014.
2. International Committee of Medical Journal
Editors (2014) Clinical Trial Registration. Avail-
able: http://www.icmje .org/recommendatio ns/
browse/publishing-and-editorial-issues/clinical-
trial-registration.html. Accessed 17 July 2014.
3. ClinicalTrials.gov (2014) FDAAA 801 Require-
ments. Available: http://clini caltrials.gov/ct2/
manage-recs/fdaaa. Accessed 17 July 2014.
4. Virginia Barbo ur (2013) Full registration and
reporting of all trials at PLOS Medicine. Available:
http://blogs.plos.org/speakingofmedicine/2013/
08/13/full-registration-and-reporting-of-all-trials-
at-plos-medicine/. Accessed 17 July 2014.
5. PRISMA. Available: http://www.prisma-
statement.org. Accessed 17 July 2014.
6. The PLOS Medicine Editors (2007) Many
Reviews Are Systematic but Some Are More
Transparent and Completely Reported than
Others. PLoS Med 4(3): e147. doi:10.137 1/
journal.pmed.0040147
7. Peat G, Riley RD, Croft P, Morley KI, Kyzas
PA, et al. (2014) Improving the Transparency of
Prognosis Research: The Role of Reporting, Data
Sharing, Registration, and Protocols. PLoS Med
11(7): e1001671. doi:10.1371/journal.pmed.
1001671
8. von Elm E, Altman DG, Egger M, Pocock SJ,
Gøtzsche PC, et al. (2007) The Strengthening the
Reporting of Observational Studies in Epidemi-
ology (STROBE) Statement: Guidelines for
Reporting Observational Studies. PLoS Med
4(10): e296 doi:10.1371/journal.pmed.0040296
9. Vandenbroucke JP, von Elm E, Altman DG,
Gøtzsche PC, Mulrow CD, et al. (2007) Strength-
ening the Reporting of Observational Studies
in Epidemiology (STROBE): Explanation and
Elaboration. PLoS Med 4(10): e297 doi:10.1371/
journal.pmed.0040297
10. STROBE (2007) STROBE checklists, Version 4
as published in Oct/Nov 2007. Available:
http://www.strobe-statement.org/index.php?id =
available-checklists. Accessed 3 June 2014.
11. Equator Network (2014) Towards complete and
accurate reporting of studies of diagnostic accu-
racy: the STARD initiative. Standards for
Reporting of Diagnostic Accuracy . Available:
http://www.equator-network.org/reporting-
guidelines/stard/. Accessed 17 July 2014.
12. PLOS Medicine (2014) Sharing of Data, Materi-
als, and Software. Available: http://www.
plosmedicine.org/static/policies#sharing. Ac-
cessed 17 July 2014.
13. Sox HC, Helfand M, Grimshaw J, Dickersin K,
the PLOS Medicine Editors, et al. (2010)
Comparative Effectiveness Research: Challenges
for Medical Journals. PLoS Med 7(4): e1000269.
doi:10.1371/journal.pmed.1000269
14. The Lancet (2010) Should protocols for observa-
tional research be registered? Lancet 375:
348.
15. Loder E, Groves T, MacAuley D (2010) Regis-
tration of observational studies. BMJ 340: c950.
16. Williams RJ, Tse T, Harlan WR, Zarin DA
(2010) Registration of observational studies: Is it
time? CMAJ 182: 15.
17. Dwan K, Altman DG, Clarke M, Gamble C,
Higgins JPT, et al. (2014) Evide nce for the
Selective Reporting of Analyses and Discrepan-
cies in Clinical Trials: A Systematic Review of
Cohort Studies of Clinical Trials. PLoS Med
11(6): e1001666. doi:10.1371/journal.pmed.
1001666
PLOS Medicine | www.plosmedicine.org 3 August 2014 | Volume 11 | Issue 8 | e1001711
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... 24 This study also found that of the PIs identified in patients using home care services, 20% were category I and 33% were category II, and could be healed without complications. [24][25][26][27][28][29][30][31] Of the remaining PIs, 26% were category III, and 10% were category IV. Patients in the more severe PI categories have a higher risk of complications, often resulting in hospital admission. ...
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Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalisability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to cohort studies, case-control studies and cross-sectional studies and four are specific to each of the three study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers. This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, one or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated Web site (http://www.strobe-statement.org/) should be helpful resources to improve reporting of observational research.
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George Peat and colleagues review and discuss current approaches to transparency and published debates and concerns about efforts to standardize prognosis research practice, and make five recommendations. Please see later in the article for the Editors' Summary
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Background: Most publications about selective reporting in clinical trials have focussed on outcomes. However, selective reporting of analyses for a given outcome may also affect the validity of findings. If analyses are selected on the basis of the results, reporting bias may occur. The aims of this study were to review and summarise the evidence from empirical cohort studies that assessed discrepant or selective reporting of analyses in randomised controlled trials (RCTs). Methods and findings: A systematic review was conducted and included cohort studies that assessed any aspect of the reporting of analyses of RCTs by comparing different trial documents, e.g., protocol compared to trial report, or different sections within a trial publication. The Cochrane Methodology Register, Medline (Ovid), PsycInfo (Ovid), and PubMed were searched on 5 February 2014. Two authors independently selected studies, performed data extraction, and assessed the methodological quality of the eligible studies. Twenty-two studies (containing 3,140 RCTs) published between 2000 and 2013 were included. Twenty-two studies reported on discrepancies between information given in different sources. Discrepancies were found in statistical analyses (eight studies), composite outcomes (one study), the handling of missing data (three studies), unadjusted versus adjusted analyses (three studies), handling of continuous data (three studies), and subgroup analyses (12 studies). Discrepancy rates varied, ranging from 7% (3/42) to 88% (7/8) in statistical analyses, 46% (36/79) to 82% (23/28) in adjusted versus unadjusted analyses, and 61% (11/18) to 100% (25/25) in subgroup analyses. This review is limited in that none of the included studies investigated the evidence for bias resulting from selective reporting of analyses. It was not possible to combine studies to provide overall summary estimates, and so the results of studies are discussed narratively. Conclusions: Discrepancies in analyses between publications and other study documentation were common, but reasons for these discrepancies were not discussed in the trial reports. To ensure transparency, protocols and statistical analysis plans need to be published, and investigators should adhere to these or explain discrepancies.
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Much of biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, caseecontrol, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to all three study designs and four are specific for cohort, caseecontrol, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies. 2007 The authors. Published by Elsevier Inc. All rights reserved.
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Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalisability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to cohort studies, case-control studies and cross-sectional studies and four are specific to each of the three study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers. This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, one or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated Web site (http://www.strobe-statement.org/) should be helpful resources to improve reporting of observational research.
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Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover 3 main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors, to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to all 3 study designs and 4 are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available at www.annals.org and on the Web sites of PLoS Medicine and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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Observational studies form an important part of the medical evidence base, particularly for assessing rare adverse events and long-term effectiveness of medications and devices.1 However, observational studies, like interventional studies (clinical trials), are subject to publication bias and reporting bias.2–4 Registration of clinical trials is a widely recognized tool for facilitating complete public reporting.5 Registration of observational studies has received less attention, although interest is growing.6–8 Because existing registries (e.g., ClinicalTrials.gov) accommodate observational studies, and the rationale and benefits of registration are similar, we ask the scientific community and other stakeholders to consider the systematic, prospective registration of observational studies.