Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods.

These methods offer practical alternatives for reconstructing diagnostic accuracy measures when data are incomplete. Relying solely on AUC-based estimations may introduce substantial bias, particularly in low-prevalence contexts. We recommend that primary studies report threshold-specific sensitivity and specificity to support more accurate meta-analytic estimations.

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Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.22037/aaemj.v13i1.2678
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods.

Shohreh Khatami, Ramin Khatami, Hootan Khatami, Mahmoud Yousefifard et al.
PubMed
Meta-analysis and systematic reviews
article

Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods.

Shohreh Khatami, Ramin Khatami, Hootan Khatami, Mahmoud Yousefifard, Mahdieh Faghihi
article en

Abstract

These methods offer practical alternatives for reconstructing diagnostic accuracy measures when data are incomplete. Relying solely on AUC-based estimations may introduce substantial bias, particularly in low-prevalence contexts. We recommend that primary studies report threshold-specific sensitivity and specificity to support more accurate meta-analytic estimations.

PubMedVol. 13(1)
Iran University of Medical Sciences (IR), Technische Universität Berlin (DE)
Openalex Percentile: Top 82%
Meta-analysis and systematic reviews
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