Dataset Information

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine.

ABSTRACT: To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes.Survey of published RCTs.PubMed/Medline.RCTs that had been submitted and published by The BMJ and PLOS Medicine subsequent to the adoption of data sharing policies by these journals.The primary outcome was data availability, defined as the eventual receipt of complete data with clear labelling. Primary outcomes were reanalyzed to assess to what extent studies were reproduced. Difficulties encountered were described.37 RCTs (21 from The BMJ and 16 from PLOS Medicine) published between 2013 and 2016 met the eligibility criteria. 17/37 (46%, 95% confidence interval 30% to 62%) satisfied the definition of data availability and 14 of the 17 (82%, 59% to 94%) were fully reproduced on all their primary outcomes. Of the remaining RCTs, errors were identified in two but reached similar conclusions and one paper did not provide enough information in the Methods section to reproduce the analyses. Difficulties identified included problems in contacting corresponding authors and lack of resources on their behalf in preparing the datasets. In addition, there was a range of different data sharing practices across study groups.Data availability was not optimal in two journals with a strong policy for data sharing. When investigators shared data, most reanalyses largely reproduced the original results. Data sharing practices need to become more widespread and streamlined to allow meaningful reanalyses and reuse of data.Open Science Framework osf.io/c4zke.

SUBMITTER: Naudet F

PROVIDER: S-EPMC5809812 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in <i>The BMJ</i> and <i>PLOS Medicine</i>.

Naudet Florian F Sakarovitch Charlotte C Janiaud Perrine P Cristea Ioana I Fanelli Daniele D Moher David D Ioannidis John P A JPA

BMJ (Clinical research ed.) 20180213

<h4>Objectives</h4>To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes.<h4>Design</h4>Survey of published RCTs.<h4>Setting</h4>PubMed/Medline.<h4>Eligibility criteria</h4>RCTs that had been submitted and published by <i>The BMJ</i> and <i>PLOS Medicine</i> subsequent to the adoption of data sharing policies ...[more]

PMID: 29440066

Similar Datasets

Project description:ImportanceClinical trial data sharing holds promise for maximizing the value of clinical research. The International Committee of Medical Journal Editors (ICMJE) adopted a policy promoting data sharing in July 2018.ObjectiveTo evaluate the association of the ICMJE data sharing policy with data availability and reproducibility of main conclusions among leading surgical journals.Design, setting, and participantsThis cross-sectional study, conducted in October 2021, examined randomized clinical trials (RCTs) in 10 leading surgical journals before and after the implementation of the ICMJE data sharing policy in July 2018.ExposureImplementation of the ICMJE data sharing policy.Main outcomes and measuresTo demonstrate a pre-post increase in data availability from 5% to 25% (α = .05; β = 0.1), 65 RCTs published before and 65 RCTs published after the policy was issued were included, and their data were requested. The primary outcome was data availability (ie, the receipt of sufficient data to enable reanalysis of the primary outcome). When data sharing was available, the primary outcomes reported in the journal articles were reanalyzed to explore reproducibility. The reproducibility features of these studies were detailed.ResultsData were available for 2 of 65 RCTs (3.1%) published before the ICMJE policy and for 2 of 65 RCTs (3.1%) published after the policy was issued (odds ratio, 1.00; 95% CI, 0.07-14.19; P > .99). A data sharing statement was observed in 11 of 65 RCTs (16.9%) published after the policy vs none before the policy (risk ratio, 2.20; 95% CI, 1.81-2.68; P = .001). Data obtained for reanalysis (n = 4) were not from RCTs published with a data sharing statement. Of the 4 RCTs with available data, all of them had primary outcomes that were fully reproduced. However, discrepancies or inaccuracies that were not associated with study conclusions were identified in 3 RCTs. These concerned the number of patients included in 1 RCT, the management of missing values in another RCT, and discrepant timing for the principal outcome declared in the study registration and reported in the third RCT.Conclusions and relevanceThis cross-sectional study suggests that data sharing practices are rare in surgical journals despite the ICMJE policy and that most RCTs published in these journals lack transparency. The results of these studies may not be reproducible by external researchers.

Project description:ObjectiveTo explore the implementation of the International Committee of Medical Journal Editors (ICMJE) data-sharing policy which came into force on 1 July 2018 by ICMJE-member journals and by ICMJE-affiliated journals declaring they follow the ICMJE recommendations.DesignA cross-sectional survey of data-sharing policies in 2018 on journal websites and in data-sharing statements in randomised controlled trials (RCTs).SettingICMJE website; PubMed/Medline.Eligibility criteriaICMJE-member journals and 489 ICMJE-affiliated journals that published an RCT in 2018, had an accessible online website and were not considered as predatory journals according to Beall's list. One hundred RCTs for member journals and 100 RCTs for affiliated journals with a data-sharing policy, submitted after 1 July 2018.Main outcome measuresThe primary outcome for the policies was the existence of a data-sharing policy (explicit data-sharing policy, no data-sharing policy, policy merely referring to ICMJE recommendations) as reported on the journal website, especially in the instructions for authors. For RCTs, our primary outcome was the intention to share individual participant data set out in the data-sharing statement.ResultsEight (out of 14; 57%) member journals had an explicit data-sharing policy on their website (three were more stringent than the ICMJE requirements, one was less demanding and four were compliant), five (35%) additional journals stated that they followed the ICMJE requirements, and one (8%) had no policy online. In RCTs published in these journals, there were data-sharing statements in 98 out of 100, with expressed intention to share individual patient data reaching 77 out of 100 (77%; 95% CI 67% to 85%). One hundred and forty-five (out of 489) ICMJE-affiliated journals (30%; 26% to 34%) had an explicit data-sharing policy on their website (11 were more stringent than the ICMJE requirements, 85 were less demanding and 49 were compliant) and 276 (56%; 52% to 61%) merely referred to the ICMJE requirements. In RCTs published in affiliated journals with an explicit data-sharing policy, data-sharing statements were rare (25%), and expressed intentions to share data were found in 22% (15% to 32%).ConclusionThe implementation of ICMJE data-sharing requirements in online journal policies was suboptimal for ICMJE-member journals and poor for ICMJE-affiliated journals. The implementation of the policy was good in member journals and of concern for affiliated journals. We suggest the conduct of continuous audits of medical journal data-sharing policies in the future.RegistrationThe protocol was registered before the start of the research on the Open Science Framework (https://osf.io/n6whd/).

Project description:ObjectivesTo assess how often stratified randomisation is used, whether analysis adjusted for all balancing variables, and whether the method of randomisation was adequately reported, and to reanalyse a previously reported trial to assess the impact of ignoring balancing factors in the analysis.DesignReview of published trials and reanalysis of a previously reported trial.SettingFour leading general medical journals (BMJ, Journal of the American Medical Association, Lancet, and New England Journal of Medicine) and the second Multicenter Intrapleural Sepsis Trial (MIST2).Participants258 trials published in 2010 in the four journals. Cluster randomised, crossover, non-randomised, single arm, and phase I or II trials were excluded, as were trials reporting secondary analyses, interim analyses, or results that had been previously published in 2010.Main outcome measuresWhether the method of randomisation was adequately reported, how often balanced randomisation was used, and whether balancing factors were adjusted for in the analysis.ResultsReanalysis of MIST2 showed that an unadjusted analysis led to larger P values and a loss of power. The review of published trials showed that balanced randomisation was common, with 163 trials (63%) using at least one balancing variable. The most common methods of balancing were stratified permuted blocks (n=85) and minimisation (n=27). The method of randomisation was unclear in 37% of trials. Most trials that balanced on centre or prognostic factors were not adequately analysed; only 26% of trials adjusted for all balancing factors in their primary analysis. Trials that did not adjust for balancing factors in their analysis were less likely to show a statistically significant result (unadjusted 57% v adjusted 78%, P=0.02).ConclusionBalancing on centre or prognostic factors is common in trials but often poorly described, and the implications of balancing are poorly understood. Trialists should adjust their primary analysis for balancing factors to obtain correct P values and confidence intervals and to avoid an unnecessary loss in power.

Dataset Information

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine.

Publications

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in <i>The BMJ</i> and <i>PLOS Medicine</i>.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets