Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II. Statistical Methods of Meta-Analysis.
10.3348/kjr.2015.16.6.1188
- Author:
Juneyoung LEE
1
;
Kyung Won KIM
;
Sang Hyun CHOI
;
Jimi HUH
;
Seong Ho PARK
Author Information
1. Department of Biostatistics, Korea University College of Medicine, Seoul 02841, Korea.
- Publication Type:Meta-Analysis ; Research Support, Non-U.S. Gov't ; Review
- Keywords:
Systematic review;
Meta-analysis;
Diagnostic test accuracy
- MeSH:
Area Under Curve;
Databases, Factual;
Diagnostic Tests, Routine/*statistics & numerical data;
Humans;
ROC Curve;
*Research;
Software
- From:Korean Journal of Radiology
2015;16(6):1188-1196
- CountryRepublic of Korea
- Language:English
-
Abstract:
Meta-analysis of diagnostic test accuracy studies differs from the usual meta-analysis of therapeutic/interventional studies in that, it is required to simultaneously analyze a pair of two outcome measures such as sensitivity and specificity, instead of a single outcome. Since sensitivity and specificity are generally inversely correlated and could be affected by a threshold effect, more sophisticated statistical methods are required for the meta-analysis of diagnostic test accuracy. Hierarchical models including the bivariate model and the hierarchical summary receiver operating characteristic model are increasingly being accepted as standard methods for meta-analysis of diagnostic test accuracy studies. We provide a conceptual review of statistical methods currently used and recommended for meta-analysis of diagnostic test accuracy studies. This article could serve as a methodological reference for those who perform systematic review and meta-analysis of diagnostic test accuracy studies.
