STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies
Top Cited Papers
Open Access
- 28 October 2015
- Vol. 351, h5527
- https://doi.org/10.1136/bmj.h5527
Abstract
Incomplete reporting has been identified as a major source of avoidable waste in biomedical research. Essential information is often not provided in study reports, impeding the identification, critical appraisal, and replication of studies. To improve the quality of reporting of diagnostic accuracy studies, the Standards for Reporting Diagnostic Accuracy (STARD) statement was developed. Here we present STARD 2015, an updated list of 30 essential items that should be included in every report of a diagnostic accuracy study. This update incorporates recent evidence about sources of bias and variability in diagnostic accuracy and is intended to facilitate the use of STARD. As such, STARD 2015 may help to improve completeness and transparency in reporting of diagnostic accuracy studies.Keywords
This publication has 19 references indexed in Scilit:
- Reporting Diagnostic Accuracy Studies: Some Improvements after 10 Years of STARDRadiology, 2015
- Reducing waste from incomplete or unusable reports of biomedical researchThe Lancet, 2014
- Reporting quality of diagnostic accuracy studies: a systematic review and meta-analysis of investigations on adherence to STARDBMJ Evidence-Based Medicine, 2013
- A systematic review classifies sources of bias and variation in diagnostic test accuracy studiesJournal of Clinical Epidemiology, 2013
- Overinterpretation and Misreporting of Diagnostic Accuracy Studies: Evidence of “Spin”Radiology, 2013
- Reporting and Interpretation of Randomized Controlled Trials With Statistically Nonsignificant Results for Primary OutcomesJAMA, 2010
- Comparison of Registered and Published Primary Outcomes in Randomized Controlled TrialsJAMA, 2009
- Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD InitiativeRadiology, 2003
- Evidence base of clinical diagnosis: Designing studies to ensure that estimates of test accuracy are transferableBMJ, 2002
- Empirical Evidence of Design-Related Bias in Studies of Diagnostic TestsJAMA, 1999