2007
DOI: 10.1016/j.jclinepi.2006.06.016
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Reporting in randomized clinical trials improved after adoption of the CONSORT statement

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Cited by 194 publications
(148 citation statements)
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References 27 publications
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“…The adoption of CONSORT by journals is associated with improved reporting quality, [33][34][35][36][37]52 and therefore we recommend journals are explicit towards authors regarding CONSORT before submission and peer review. Editors, peer reviewers, authors, and developers of reporting guidelines will benefit from working closely with groups such as the Enhancing the Quality and Transparency of Health Research Network to support development and dissemination of reporting guidelines.…”
Section: Discussionmentioning
confidence: 99%
“…The adoption of CONSORT by journals is associated with improved reporting quality, [33][34][35][36][37]52 and therefore we recommend journals are explicit towards authors regarding CONSORT before submission and peer review. Editors, peer reviewers, authors, and developers of reporting guidelines will benefit from working closely with groups such as the Enhancing the Quality and Transparency of Health Research Network to support development and dissemination of reporting guidelines.…”
Section: Discussionmentioning
confidence: 99%
“…In response to the substantial gap in the optimal reporting of RCTs, the CONSORT (CONsolidated Standards Of Reporting Trials) statement was developed by two international, multidisciplinary work groups to re-establish robust reporting standards as the foundation for reliable, evidenced-based research [8]. Verification of improvement in the quality of reporting with implementation of the CONSORT statement was followed by its widespread endorsement by leading medical journals and the completion of internal audits in several medical disciplines [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the description of the use-cases of the applications of ontologies to the field of orthopaedics, we showed that they can prove to be extremely beneficial as they have the capability to standardize data and draw inferences based on the data, at a granular level. This can be applicable in clinical practice, research and medical education and training [3,11,19]. The data can be represented in a machine-readable way [15] which can facilitate interoperability across multiple databases and provide integrated results from different biomedical resources [18] thus enabling sharing and reuse of data [28] and also making the data relevant for longer periods of time.…”
Section: Discussionmentioning
confidence: 99%