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

Fam Pract. 2004 Feb;21(1):4-10. doi: 10.1093/fampra/cmh103.

Abstract

Objective: Our aim was to improve the accuracy and completeness of reporting of studies of diagnostic accuracy in order to allow readers to assess the potential for bias in a study and to evaluate the generalizability of its results.

Methods: 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 organizations shortened this list during a 2-day consensus meeting with the goal of developing a checklist and a generic flow diagram for studies of diagnostic accuracy.

Results: The search for published guidelines about 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 a 25-item checklist, by using evidence whenever available. A prototype of a flow diagram provides information about the method of recruitment of patients, the order of test execution and the numbers of patients undergoing the test under evaluation and/or the reference standard.

Conclusions: 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bias
  • Clinical Trials as Topic / standards
  • Clinical Trials as Topic / statistics & numerical data*
  • Decision Trees
  • Diagnostic Techniques and Procedures / statistics & numerical data*
  • Diagnostic Tests, Routine / standards
  • Diagnostic Tests, Routine / statistics & numerical data*
  • Humans
  • Netherlands
  • Practice Guidelines as Topic
  • Predictive Value of Tests
  • Publishing / standards
  • Reproducibility of Results
  • Research Design / standards*
  • Research Design / statistics & numerical data