2017
DOI: 10.1136/eb-2017-102666
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Reporting guidance considerations from a statistical perspective: overview of tools to enhance the rigour of reporting of randomised trials and systematic reviews

Abstract: Objective Research waste has received considerable attention from the biomedical community. One noteworthy contributor is incomplete reporting in research publications. When detailing statistical methods and results, ensuring analytic methods and findings are completely documented improves transparency. For publications describing randomised trials and systematic reviews, guidelines have been developed to facilitate complete reporting. This overview summarises aspects of statistical reporting in trials and sys… Show more

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Cited by 34 publications
(24 citation statements)
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“…This study was conducted in accordance with the MOOSE (meta-analysis of observational studies in epidemiology)29 and PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines 30…”
Section: Introductionmentioning
confidence: 99%
“…This study was conducted in accordance with the MOOSE (meta-analysis of observational studies in epidemiology)29 and PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines 30…”
Section: Introductionmentioning
confidence: 99%
“…The quality of CTs and research transparency can be improved by adopting the reporting guidelines. 42 The main factor for poor quality of the studies was the absence of assessor blinding. A study may be conducted according to the highest possible standards, yet still have an important risk of bias.…”
Section: Discussionmentioning
confidence: 99%
“…The comparative effectiveness was evaluated using the network meta‐analysis methodology. First, we summarized the geometry of the network of evidence using network plots for the main outcome. Second, we conducted contrast‐based analyses to assess comparative efficacy and acceptability.…”
Section: Methodsmentioning
confidence: 99%
“…Relative risks (RRs) and SMDs were reported with their 95% CIs. The ranking of treatment formats was estimated according to the “surface under the cumulative ranking” (SUCRA), based on the estimated multivariate random effects models. We checked the consistency of the network using tests of local and global inconsistency.…”
Section: Methodsmentioning
confidence: 99%