STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
Jérémie F. Cohen,Jérémie F. Cohen,Daniël A. Korevaar,Douglas G. Altman,David E. Bruns,Constantine Gatsonis,Lotty Hooft,Les Irwig,Deborah Levine,Johannes B. Reitsma,Henrica C.W. de Vet,Patrick M.M. Bossuyt +11 more
TLDR
The rationale for each of the 30 items on the STARD 2015 checklist is clarified, and what is expected from authors in developing sufficiently informative study reports is described.Abstract:
Diagnostic accuracy studies are, like other clinical studies, at risk of bias due to shortcomings in design and conduct, and the results of a diagnostic accuracy study may not apply to other patient groups and settings. Readers of study reports need to be informed about study design and conduct, in sufficient detail to judge the trustworthiness and applicability of the study findings. The STARD statement (Standards for Reporting of Diagnostic Accuracy Studies) was developed to improve the completeness and transparency of reports of diagnostic accuracy studies. STARD contains a list of essential items that can be used as a checklist, by authors, reviewers and other readers, to ensure that a report of a diagnostic accuracy study contains the necessary information. STARD was recently updated. All updated STARD materials, including the checklist, are available at http://www.equator-network.org/reporting-guidelines/stard. Here, we present the STARD 2015 explanation and elaboration document. Through commented examples of appropriate reporting, we clarify the rationale for each of the 30 items on the STARD 2015 checklist, and describe what is expected from authors in developing sufficiently informative study reports.read more
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Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies The PRISMA-DTA Statement
Matthew D. F. McInnes,David Moher,Brett D. Thombs,Brett D. Thombs,Trevor A. McGrath,Patrick M.M. Bossuyt,Tammy Clifford,Jérémie F. Cohen,Jonathan J Deeks,Constantine Gatsonis,Lotty Hooft,Harriet Hunt,Chris Hyde,Daniël A. Korevaar,Mariska M.G. Leeflang,Petra Macaskill,Johannes B. Reitsma,Rachel Rodin,Anne W S Rutjes,Jean-Paul Salameh,Adrienne Stevens,Adrienne Stevens,Yemisi Takwoingi,Marcello Tonelli,Laura Weeks,Penny Whiting,Brian H Willis +26 more
TL;DR: A group of 24 multidisciplinary experts used a systematic review of articles on existing reporting guidelines and methods, a 3-round Delphi process, a consensus meeting, pilot testing, and iterative refinement to develop the PRISMA diagnostic test accuracy guideline.
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Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study
Michael S Hofman,Michael S Hofman,Nathan Lawrentschuk,Roslyn J. Francis,Roslyn J. Francis,Colin Tang,Ian Vela,Paul Thomas,Paul Thomas,Natalie Rutherford,Jarad Martin,Mark Frydenberg,Ramdave Shakher,Lih-Ming Wong,Kim Taubman,Sze Ting Lee,Edward Hsiao,Paul Roach,Michelle K. Nottage,Ian Kirkwood,Ian Kirkwood,Dickon Hayne,Emma Link,Emma Link,Petra Marusic,Anetta Matera,Alan Herschtal,Amir Iravani,Amir Iravani,Rodney J. Hicks,Rodney J. Hicks,Scott Williams,Scott Williams,Declan G. Murphy,Declan G. Murphy +34 more
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Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies.
TL;DR: In this article, the importance of sample size and its relationship to effect size (ES) and statistical significance is discussed. But, there is no straightforward way of calculating the effective sample size for reaching an accurate conclusion, and use of a statistically incorrect sample size may lead to inadequate results in both clinical and laboratory studies.
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