Metabolic Syndrome and Ovarian Cancer Staging: A Retrospective Analysis of Chinese Patients

Background: Metabolic syndrome (MetS) has been associated with various cancers, including breast and endometrial cancer. However, its role in the severity of ovarian cancer remains unclear. This study aimed to investigate the association between MetS and the severity of ovarian cancer. Methods: A retrospective analysis was performed on 309 ovarian cancer patients hospitalized at Beijing Friendship Hospital from January 2013 to January 2024. The Chinese Diabetes Society criteria were used to define MetS. The association between ovarian cancer severity and MetS was evaluated using multivariable logistic regression models. Results: The overall prevalence of MetS in ovarian cancer was 15.69% (48/306), with 15% (17/113) in Stage I, 10% (3/31) in Stage II, 17% (18/103) in Stage III, and 17% (10/59) in Stage IV. After adjusting for confounding variables (fully adjusted Model 3), logistic regression analysis showed that ovarian cancers in Stage II (odds ratio (OR): 0.814, 95% confidence interval (CI): 0.192–3.440), Stage III (OR: 1.121, 95% CI: 0.478–2.629), and Stage IV (OR: 1.315, 95% CI: 0.479–3.609) was not significantly associated with MetS compared to Stage I. Conclusion: MetS was not found to be associated with ovarian cancer severity. Further prospective studies are needed to determine the causal relationship between MetS and ovarian cancer severity.

Authors

Institutions

Publication Details

Journal
Clinical and Experimental Obstetrics & Gynecology
Published
2025-04-23
DOI
https://doi.org/10.31083/ceog26690
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolic Syndrome and Ovarian Cancer Staging: A Retrospective Analysis of Chinese Patients

Kexin Zhang, Ying Jin, Mei Jiang
Clinical and Experimental Obstetrics & Gynecology
Cancer Risks and Factors
article

Metabolic Syndrome and Ovarian Cancer Staging: A Retrospective Analysis of Chinese Patients

Kexin Zhang, Ying Jin, Mei Jiang
article en

Abstract

Background: Metabolic syndrome (MetS) has been associated with various cancers, including breast and endometrial cancer. However, its role in the severity of ovarian cancer remains unclear. This study aimed to investigate the association between MetS and the severity of ovarian cancer. Methods: A retrospective analysis was performed on 309 ovarian cancer patients hospitalized at Beijing Friendship Hospital from January 2013 to January 2024. The Chinese Diabetes Society criteria were used to define MetS. The association between ovarian cancer severity and MetS was evaluated using multivariable logistic regression models. Results: The overall prevalence of MetS in ovarian cancer was 15.69% (48/306), with 15% (17/113) in Stage I, 10% (3/31) in Stage II, 17% (18/103) in Stage III, and 17% (10/59) in Stage IV. After adjusting for confounding variables (fully adjusted Model 3), logistic regression analysis showed that ovarian cancers in Stage II (odds ratio (OR): 0.814, 95% confidence interval (CI): 0.192–3.440), Stage III (OR: 1.121, 95% CI: 0.478–2.629), and Stage IV (OR: 1.315, 95% CI: 0.479–3.609) was not significantly associated with MetS compared to Stage I. Conclusion: MetS was not found to be associated with ovarian cancer severity. Further prospective studies are needed to determine the causal relationship between MetS and ovarian cancer severity.

Clinical and Experimental Obstetrics & GynecologyVol. 52(4)
Capital Medical University (CN), Beijing Friendship Hospital (CN)
Beijing Friendship Hospital, Capital Medical University
Openalex Percentile: Top 87%
Cancer Risks and Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Metabolic Syndrome and Ovarian Cancer Staging: A Retrospective Analysis of Chinese Patients — Kexin Zhang, Ying Jin, et al. · Clinical and Experimental Obstetrics & Gynecology (2025) | TGRS Research Map | TGRS