Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.

Journal article

To improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study and to evaluate its generalisability.The Standards for Reporting of Diagnostic Accuracy (STARD) steering committee searched the literature to identify publications on the appropriate conduct and reporting of diagnostic studies and extracted potential items into an extensive list. Researchers, editors, and members of professional organisations shortened this list during a two-day consensus meeting with the goal of developing a checklist and a generic flow diagram for studies of diagnostic accuracy.The search for published guidelines regarding diagnostic research yielded 33 previously published checklists, from which we extracted a list of 75 potential items. At the consensus meeting, participants shortened the list to 25 items, using evidence on bias whenever available. A prototypical flow diagram provides information about the method of patient recruitment, the order of test execution and the numbers of patients undergoing the test under evaluation, the reference standard or both.Evaluation of research depends on complete and accurate reporting. If medical journals adopt the checklist and the flow diagram, the quality of reporting of studies of diagnostic accuracy should improve to the advantage of clinicians, researchers, reviewers, journals, and the public.

Authors: Bossuyt, P; Reitsma, J; Bruns, D; Gatsonis, C; Glasziou, P

• Publication status: Published
• Journal: Clinical chemistry and laboratory medicine
• Volume: 41
• Issue: 1
• Pages: 68-73
• Publication date: 2003-01-01
• DOI: 10.1515/CCLM.2003.012
• EISSN: 1437-4331
• ISSN: 1434-6621
• Language: English
• Keywords: Research Design; Bias (Epidemiology); Diagnostic Techniques and Procedures; Clinical Trials as Topic; Reproducibility of Results; Laboratories; Humans; Practice Guidelines as Topic; STARD group; Algorithms; Publishing; Quality Control