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STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. Translation to Russian

Authors :
Jérémie F. Cohen
Daniël A. Korevaar
Douglas G. Altman
David E. Bruns
Constantine A. Gatsonis
Lotty Hooft
Les Irwig
Deborah B. Levine
Henrica C. W. de Vet
Patrick M.M. Bossuyt
Source :
Digital Diagnostics, Vol 2, Iss 3, Pp 313-342 (2021)
Publication Year :
2021
Publisher :
Eco-Vector, 2021.

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. This article is the reprint with Russian translation of the original that can be observed here: Cohen JF, Korevaar DA, Altman DG, et al. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. BMJ Open 2016;6:e012799. doi: 10.1136/bmjopen-2016-012799

Details

Language :
English, Russian, Chinese
ISSN :
27128490 and 27128962
Volume :
2
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Digital Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.12e084e42f24827b2c71c3febfb04d1
Document Type :
article
Full Text :
https://doi.org/10.17816/DD71031