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      Epidemiology and Reporting Characteristics of Systematic Reviews of Biomedical Research: A Cross-Sectional Study

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          Abstract

          Background

          Systematic reviews (SRs) can help decision makers interpret the deluge of published biomedical literature. However, a SR may be of limited use if the methods used to conduct the SR are flawed, and reporting of the SR is incomplete. To our knowledge, since 2004 there has been no cross-sectional study of the prevalence, focus, and completeness of reporting of SRs across different specialties. Therefore, the aim of our study was to investigate the epidemiological and reporting characteristics of a more recent cross-section of SRs.

          Methods and Findings

          We searched MEDLINE to identify potentially eligible SRs indexed during the month of February 2014. Citations were screened using prespecified eligibility criteria. Epidemiological and reporting characteristics of a random sample of 300 SRs were extracted by one reviewer, with a 10% sample extracted in duplicate. We compared characteristics of Cochrane versus non-Cochrane reviews, and the 2014 sample of SRs versus a 2004 sample of SRs. We identified 682 SRs, suggesting that more than 8,000 SRs are being indexed in MEDLINE annually, corresponding to a 3-fold increase over the last decade. The majority of SRs addressed a therapeutic question and were conducted by authors based in China, the UK, or the US; they included a median of 15 studies involving 2,072 participants. Meta-analysis was performed in 63% of SRs, mostly using standard pairwise methods. Study risk of bias/quality assessment was performed in 70% of SRs but was rarely incorporated into the analysis (16%). Few SRs (7%) searched sources of unpublished data, and the risk of publication bias was considered in less than half of SRs. Reporting quality was highly variable; at least a third of SRs did not report use of a SR protocol, eligibility criteria relating to publication status, years of coverage of the search, a full Boolean search logic for at least one database, methods for data extraction, methods for study risk of bias assessment, a primary outcome, an abstract conclusion that incorporated study limitations, or the funding source of the SR. Cochrane SRs, which accounted for 15% of the sample, had more complete reporting than all other types of SRs. Reporting has generally improved since 2004, but remains suboptimal for many characteristics.

          Conclusions

          An increasing number of SRs are being published, and many are poorly conducted and reported. Strategies are needed to help reduce this avoidable waste in research.

          Abstract

          In a cross-sectional manuscript analysis, David Moher and colleagues score the prevalence, quality of conduct and completeness of reporting among systematic reviews published across medical disciplines in 2014.

          Author Summary

          Why Was This Study Done?
          • Decisions in health care, such as which treatment to recommend or which test to order, should be based on evidence from all available research studies, rather than the results of the largest or most recent study.

          • Systematic reviews, which explicitly use methods to identify, select, critically appraise, and synthesize the results of all existing studies of a given question, are considered the highest level of evidence for decision makers.

          • We wanted to know how many systematic reviews of biomedical research are being published, what questions they are addressing, and how well the methods are reported, since information of this sort has not been collected since 2004.

          What Did the Researchers Do and Find?
          • We looked for all systematic reviews added to the main bibliographic database for biomedical literature during one month (February 2014), and recorded the characteristics of these reviews.

          • We found 682 systematic reviews—a 3-fold increase over the last decade—that addressed a wide range of topics.

          • In many cases, important aspects of the methods used were not reported (for example, at least a third of the reviews did not report how they searched for studies or how they assessed the quality of the included studies), unpublished data was rarely sought, and at least a third of the reviews used statistical methods discouraged by leading organizations that have developed guidance for systematic reviews (for example, Cochrane and the Institute of Medicine).

          What Do These Findings Mean?
          • We conclude that systematic reviews have become increasingly popular and that, similar to a decade ago, the quality of conduct and reporting varies widely; therefore, readers should not accept the findings of systematic reviews uncritically.

          • We recommend a number of strategies to improve the value of systematic reviews, such as the development of software to facilitate better reporting, certified training for journal editors in how to implement the use of reporting guidelines such as PRISMA ( http://prisma-statement.org/), and formal training of biomedical researchers in research design and analysis.

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          Most cited references19

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          Guidelines 2.0: systematic development of a comprehensive checklist for a successful guideline enterprise.

          Although several tools to evaluate the credibility of health care guidelines exist, guidance on practical steps for developing guidelines is lacking. We systematically compiled a comprehensive checklist of items linked to relevant resources and tools that guideline developers could consider, without the expectation that every guideline would address each item. We searched data sources, including manuals of international guideline developers, literature on guidelines for guidelines (with a focus on methodology reports from international and national agencies, and professional societies) and recent articles providing systematic guidance. We reviewed these sources in duplicate, extracted items for the checklist using a sensitive approach and developed overarching topics relevant to guidelines. In an iterative process, we reviewed items for duplication and omissions and involved experts in guideline development for revisions and suggestions for items to be added. We developed a checklist with 18 topics and 146 items and a webpage to facilitate its use by guideline developers. The topics and included items cover all stages of the guideline enterprise, from the planning and formulation of guidelines, to their implementation and evaluation. The final checklist includes links to training materials as well as resources with suggested methodology for applying the items. The checklist will serve as a resource for guideline developers. Consideration of items on the checklist will support the development, implementation and evaluation of guidelines. We will use crowdsourcing to revise the checklist and keep it up to date.
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            Statistics notes. The odds ratio.

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              How to read a systematic review and meta-analysis and apply the results to patient care: users' guides to the medical literature.

              Clinical decisions should be based on the totality of the best evidence and not the results of individual studies. When clinicians apply the results of a systematic review or meta-analysis to patient care, they should start by evaluating the credibility of the methods of the systematic review, ie, the extent to which these methods have likely protected against misleading results. Credibility depends on whether the review addressed a sensible clinical question; included an exhaustive literature search; demonstrated reproducibility of the selection and assessment of studies; and presented results in a useful manner. For reviews that are sufficiently credible, clinicians must decide on the degree of confidence in the estimates that the evidence warrants (quality of evidence). Confidence depends on the risk of bias in the body of evidence; the precision and consistency of the results; whether the results directly apply to the patient of interest; and the likelihood of reporting bias. Shared decision making requires understanding of the estimates of magnitude of beneficial and harmful effects, and confidence in those estimates.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                24 May 2016
                May 2016
                : 13
                : 5
                : e1002028
                Affiliations
                [1 ]School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
                [2 ]School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
                [3 ]Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
                [4 ]School of Epidemiology, Public Health and Preventive Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
                [5 ]Centre for Statistics in Medicine, University of Oxford, Oxford, United Kingdom
                [6 ]Children’s Hospital of Eastern Ontario, Ottawa, Ontario, Canada
                [7 ]Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, Ontario, Canada
                [8 ]Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
                [9 ]Department of Medicine, University of Valencia/INCLIVA Health Research Institute and Centro de Investigación en Red de Salud Mental, Valencia, Spain
                [10 ]First Clinical College, Lanzhou University, Lanzhou, China
                [11 ]Department of Pharmacy, Vancouver General Hospital, Vancouver, British Columbia, Canada
                [12 ]Graduate Program in Dentistry, Federal University of Pelotas, Pelotas, Brazil
                University of Bern, SWITZERLAND
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: MJP is a research fellow for the Australasian Cochrane Centre. ACT and FCL are authors of three of the systematic reviews included in this study, but were not involved in eligibility assessment or data extraction. DM is a member of PLOS Medicine’s editorial board.

                Conceived and designed the experiments: MJP LS DM. Performed the experiments: MJP LS JT FCL LL EKR RSO. Analyzed the data: MJP. Wrote the first draft of the manuscript: MJP. Contributed to the writing of the manuscript: MJP LS DGA JT MS ACT FCL LL EKR RSO DM. Agree with the manuscript’s results and conclusions: MJP LS DGA JT MS ACT FCL LL EKR RSO DM. All authors have read, and confirm that they meet, ICMJE criteria for authorship.

                Author information
                http://orcid.org/0000-0003-2550-9893
                Article
                PMEDICINE-D-15-03687
                10.1371/journal.pmed.1002028
                4878797
                27218655
                7cc57fb9-6d76-43ee-b79f-cc0475d96488
                © 2016 Page et al

                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.

                History
                : 9 December 2015
                : 14 April 2016
                Page count
                Figures: 4, Tables: 6, Pages: 30
                Funding
                Funded, in part, by a grant from the Canadian Agency for Drugs and Technologies in Health (C-141730, https://www.cadth.ca/)). MJP is supported by an Australian National Health and Medical Research Council Early Career Fellowship (1088535, https://www.nhmrc.gov.au/). DGA is a National Institute of Health Research Senior Investigator ( http://www.nihr.ac.uk/). ACT is funded by a Canadian Institutes of Health Research New Investigator Award in Knowledge Synthesis ( http://www.cihr-irsc.gc.ca/e/193.html). FCL is supported by Generalitat Valenciana (PROMETEOII/2015/021, www.gva.es/). RSO is supported by a scholarship of Coordination for the Improvement of Higher Education Personnel (CAPES – Brazil, http://www.capes.gov.br/). DM is funded by a University Research Chair. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Research and Analysis Methods
                Database and Informatics Methods
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Screening Guidelines
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Data
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Research and Analysis Methods
                Research Assessment
                Research Reporting Guidelines
                Custom metadata
                The reference list of included articles, raw data and statistical analysis code are publicly available from the Open Science Framework (DOI: osf.io/7mn8e).

                Medicine
                Medicine

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