Diagnostic accuracy of the Copenhagen Index in ovarian malignancy: A meta-analysis

Huiling Liu; Shouye Ma; Xiaohong Chen; Huifang Wu; Rongrong Wang; Mengmeng Du; Xiazi Nie

doi:10.1371/journal.pone.0286650

Diagnostic accuracy of the Copenhagen Index in ovarian malignancy: A meta-analysis

PLoS One. 2023 Jun 14;18(6):e0286650. doi: 10.1371/journal.pone.0286650. eCollection 2023.

Authors

Huiling Liu¹, Shouye Ma¹, Xiaohong Chen¹, Huifang Wu¹, Rongrong Wang¹, Mengmeng Du¹, Xiazi Nie¹

Affiliation

¹ Obstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.

Abstract

Objective: To assess the diagnostic value of the Copenhagen index for ovarian malignancy.

Methods: PubMed, Web of Science, the Cochrane Library, Embase, CBM, CNKI, and WanFang databases were searched throughout June 2021. Statistical analyses were performed using Stata 12, Meta-DiSc, and RevMan 5.3. The pooled sensitivity, specificity, and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve was drawn, and the area under the curve was calculated.

Results: Ten articles, including 11 studies with a total of 5266 patients, were included. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.82 [95% CI (0.80-0.83)], 0.88 [95% CI (0.87-0.89)], and 57.31 [95% CI (32.84-100.02)], respectively. The area under the summary receiver operating characteristics curve and the Q index were 0.9545 and 0.8966, respectively.

Conclusion: Our systematic review shows that the sensitivity and specificity of the Copenhagen index are high enough for it to be used in a clinical setting to provide accurate ovarian cancer diagnosis without considering menopausal status.

Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Systematic Review
Meta-Analysis
Research Support, Non-U.S. Gov't

MeSH terms

Databases, Factual
Female
Gene Library
Humans
Libraries*
Ovarian Neoplasms* / diagnosis
Ovarian Neoplasms* / epidemiology

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant no. 81560426), the Key Discipline Project of Gansu Provincial Hospital (grant no. 20GSSY1-4).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.