Meta-Analysis of Diagnostic Accuracy Studies With Multiple Thresholds
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Meta-Analysis of Diagnostic Accuracy Studies With Multiple Thresholds : Comparison of Approaches in a Simulation Study. / Zapf, Antonia; Frömke, Cornelia; Hardt, Juliane; Rücker, Gerta; Voeltz, Dina; Hoyer, Annika.
In: BIOMETRICAL J, Vol. 66, No. 7, e202300101, 10.2024.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Meta-Analysis of Diagnostic Accuracy Studies With Multiple Thresholds
T2 - Comparison of Approaches in a Simulation Study
AU - Zapf, Antonia
AU - Frömke, Cornelia
AU - Hardt, Juliane
AU - Rücker, Gerta
AU - Voeltz, Dina
AU - Hoyer, Annika
N1 - © 2024 The Author(s). Biometrical Journal published by Wiley‐VCH GmbH.
PY - 2024/10
Y1 - 2024/10
N2 - The development of methods for the meta-analysis of diagnostic test accuracy (DTA) studies is still an active area of research. While methods for the standard case where each study reports a single pair of sensitivity and specificity are nearly routinely applied nowadays, methods to meta-analyze receiver operating characteristic (ROC) curves are not widely used. This situation is more complex, as each primary DTA study may report on several pairs of sensitivity and specificity, each corresponding to a different threshold. In a case study published earlier, we applied a number of methods for meta-analyzing DTA studies with multiple thresholds to a real-world data example (Zapf et al., Biometrical Journal. 2021; 63(4): 699-711). To date, no simulation study exists that systematically compares different approaches with respect to their performance in various scenarios when the truth is known. In this article, we aim to fill this gap and present the results of a simulation study that compares three frequentist approaches for the meta-analysis of ROC curves. We performed a systematic simulation study, motivated by an example from medical research. In the simulations, all three approaches worked partially well. The approach by Hoyer and colleagues was slightly superior in most scenarios and is recommended in practice.
AB - The development of methods for the meta-analysis of diagnostic test accuracy (DTA) studies is still an active area of research. While methods for the standard case where each study reports a single pair of sensitivity and specificity are nearly routinely applied nowadays, methods to meta-analyze receiver operating characteristic (ROC) curves are not widely used. This situation is more complex, as each primary DTA study may report on several pairs of sensitivity and specificity, each corresponding to a different threshold. In a case study published earlier, we applied a number of methods for meta-analyzing DTA studies with multiple thresholds to a real-world data example (Zapf et al., Biometrical Journal. 2021; 63(4): 699-711). To date, no simulation study exists that systematically compares different approaches with respect to their performance in various scenarios when the truth is known. In this article, we aim to fill this gap and present the results of a simulation study that compares three frequentist approaches for the meta-analysis of ROC curves. We performed a systematic simulation study, motivated by an example from medical research. In the simulations, all three approaches worked partially well. The approach by Hoyer and colleagues was slightly superior in most scenarios and is recommended in practice.
KW - ROC Curve
KW - Meta-Analysis as Topic
KW - Biometry/methods
KW - Diagnostic Tests, Routine/methods
KW - Humans
KW - Computer Simulation
U2 - 10.1002/bimj.202300101
DO - 10.1002/bimj.202300101
M3 - SCORING: Journal article
C2 - 39330620
VL - 66
JO - BIOMETRICAL J
JF - BIOMETRICAL J
SN - 0323-3847
IS - 7
M1 - e202300101
ER -
