Evidence map›Paper›PMID 41890550›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2026

Longitudinal study of central obesity and glucose-lipid metabolism in predicting tumor remission among fertility-sparing endometrial cancer patients.

XiaoDan Li, YuXuan Wei, XiaoWei Li, Jingjing Gong, Dandan Yang, Yuanyuan Gong

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

XiaoDan LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
YuXuan WeiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
XiaoWei LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Jingjing GongDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Dandan YangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Yuanyuan GongDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to predict tumor remission by monitoring obesity-parameter changes during weight loss in EC patients and to identify the most reliable indicators for forecasting tumor complete remission (CR). Methods: A prospective longitudinal study was conducted to track changes in obesity parameters during a 6-month weight-loss period and to predict 9-month CR. Body morphology indicators, including weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), lipid accumulation product (LAP), and body roundness index (BRI), and metabolic measures such as triglycerides (TG), hemoglobin A1c (HbA1c), fasting insulin (FINS), and insulin resistance (IR) were assessed. Multivariable logistic regression was used to evaluate associations between these parameters and CR, and receiver operating characteristic (ROC) analyses were performed to determine optimal cut-off values for predicting remission. Results: A total of 84 patients were included. Multivariable logistic regression identified WHR as a significant independent predictor for CR (P = 0.015, OR=1.111 95% CI: 1.021-1.209). ROC analysis revealed optimal cut-off values for WHR (0.90), TG (1.38), and FINS (18.93). The AUC values were 0.71, 0.63, and 0.67 respectively, indicating moderate predictive value. Calibration and decision curve analyses confirmed the models' stability and clinical benefit. Conclusions: WHR may serve as an additional predictor of obesity in CR. of obesity for CR. It is a convenient and quick method for monitoring and developing individualized treatments for fertility preservation and weight reduction strategies.

Indexed as

Endometrial cancerFertility preservationObesityWaist-to-hip ratio

Identifiers

PMID41890550
PMCPMC13014905

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.