Meta-epidemiologic analysis indicates that MEDLINE searches are sufficient for diagnostic test accuracy systematic reviews

Wynanda A van Enst, Rob J P M Scholten, Penny Whiting, Aeilko H Zwinderman, Lotty Hooft

Research output: Contribution to journalArticle (Academic Journal)peer-review

25 Citations (Scopus)

Abstract

OBJECTIVES: To investigate how the summary estimates in diagnostic test accuracy (DTA) systematic reviews are affected when searches are limited to MEDLINE.

STUDY DESIGN AND SETTING: A systematic search was performed to identify DTA reviews that had conducted exhaustive searches and included a meta-analysis. Primary studies included in selected reviews were assessed to determine whether they were indexed on MEDLINE. The effect of omitting non-MEDLINE studies from meta-analyses was investigated by calculating the summary relative diagnostic odds ratio (RDORs) = DORMEDLINE only/DORall studies. We also calculated the summary difference in sensitivity and specificity between all studies and only MEDLINE-indexed studies.

RESULTS: Ten reviews contributing 15 meta-analyses met inclusion criteria for quantitative analysis. The RDOR comparing MEDLINE-only studies with all studies was 1.04 (95% confidence interval [CI], 0.95, 1.15). Summary estimates of sensitivity and specificity remained almost unchanged (difference in sensitivity: -0.08%; 95% CI -1% to 1%; difference in specificity: -0.1%; 95% CI -0.8% to 1%).

CONCLUSION: Restricting to studies indexed on MEDLINE did not influence the summary estimates of the meta-analyses in our sample. In certain circumstances, for instance, when resources are limited, it may be appropriate to restrict searches to MEDLINE. However, the impact on individual reviews cannot be predicted.

Original languageEnglish
Pages (from-to)1192-9
Number of pages8
JournalJournal of Clinical Epidemiology
Volume67
Issue number11
DOIs
Publication statusPublished - Nov 2014

Keywords

  • Diagnostic Tests, Routine
  • Epidemiologic Methods
  • Humans
  • MEDLINE
  • Meta-Analysis as Topic
  • Sensitivity and Specificity

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