Stard 2015 guidelines for reporting diagnostic accuracy studies: Explanation and elaboration. translation to russian

Jérémie F. Cohen, Daniël A. Korevaar, Douglas G. Altman, David E. Bruns, Constantine A. Gatsonis, Lotty Hooft, Les Irwig, Deborah Levine, Johannes B. Reitsma, Henrica C.W. De Vet, Patrick M.M. Bossuyt*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

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 edited by Dr. Ruslan Saygitov. 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.

Original languageEnglish
Pages (from-to)313-342
Number of pages30
JournalDigital Diagnostics
Volume2
Issue number3
DOIs
Publication statusPublished - 2021

Keywords

  • Applicability
  • Bias
  • Clinical studies
  • Diagnostic accuracy studies
  • STARD
  • Study design
  • Trustworthiness

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