Methods and reporting of systematic reviews of comparative accuracy were deficient: a methodological survey and proposed guidance

J Clin Epidemiol. 2020 May:121:1-14. doi: 10.1016/j.jclinepi.2019.12.007. Epub 2019 Dec 14.

Abstract

Objective: The objective of this study was to examine methodological and reporting characteristics of systematic reviews and meta-analyses which compare diagnostic test accuracy (DTA) of multiple index tests, identify good practice, and develop guidance for better reporting.

Study design and setting: Methodological survey of 127 comparative or multiple tests reviews published in 74 different general medical and specialist journals. We summarized methods and reporting characteristics that are likely to differ between reviews of a single test and comparative reviews. We then developed guidance to enhance reporting of test comparisons in DTA reviews.

Results: Of 127 reviews, 16 (13%) reviews restricted study selection and test comparisons to comparative accuracy studies while the remaining 111 (87%) reviews included any study type. Fifty-three reviews (42%) statistically compared test accuracy with only 18 (34%) of these using recommended methods. Reporting of several items-in particular the role of the index tests, test comparison strategy, and limitations of indirect comparisons (i.e., comparisons involving any study type)-was deficient in many reviews. Five reviews with exemplary methods and reporting were identified.

Conclusion: Reporting quality of reviews which evaluate and compare multiple tests is poor. The guidance developed, complemented with the exemplars, can assist review authors in producing better quality comparative reviews.

Keywords: Comparative accuracy; Diagnostic accuracy; Meta-analysis; Systematic review; Test accuracy; Test comparison.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Accuracy
  • Data Collection / standards
  • Diagnostic Techniques and Procedures / standards*
  • Diagnostic Tests, Routine / standards
  • Guidelines as Topic*
  • Humans
  • Meta-Analysis as Topic*
  • Systematic Reviews as Topic*
  • Terminology as Topic