Evidence map›Paper›PMID 41859705›Full record

ArticleInternational journal of women's health2026

The Positive Association Between RCII and Endometriosis and Its Integration into a Clinical Predictive Model: A Cross-Sectional Study.

Haochan Wu, Fangfang Shan, Mengmeng Ye, Hui Zhou, Jie Jiao, Zhaoxia Zhong, Yibo Wu

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Article in International journal of women's health, 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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5 · Who and what money

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7 authors.

Haochan Wu *Human Reproductive Medicine Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Fangfang Shan *Human Reproductive Medicine Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Mengmeng YeHuman Reproductive Medicine Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Hui ZhouHuman Reproductive Medicine Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.ORCID 0000-0002-9781-8145
Jie JiaoDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Zhaoxia ZhongDepartment of Obstetrics and Gynecology, Donghai People's Hospital, Donghai, People's Republic of China.
Yibo WuHuman Reproductive Medicine Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.ORCID 0000-0002-4747-1729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Studies indicate that endometriosis (EMs) is associated with inflammation and metabolic abnormalities. The Remnant Cholesterol Inflammatory Index (RCII) concurrently reflects both inflammatory and metabolic status. However, the relationship between RCII and EMs remains unclear. Therefore, this study aims to investigate the association between RCII and EMs and explore the potential of RCII as a risk predictor for EMs. Methods: Making use of information from the 1999-2006 NHANES database, we investigated the connection between natural logarithm-transformed RCII (lnRCII) and EMs employing logistic regression analysis, restricted cubic spline (RCS) models, and subgroup analysis approaches. Finally, a nomogram was constructed based on feature variables selected via LASSO regression to enhance the interpretability of the predictive model. Results: After adjusting for potential confounding factors, lnRCII demonstrated a substantial positive correlation with the risk of EMs. For each 1-standard-deviation increase in lnRCII, the EMs' risk increased by 25% (fully adjusted model OR = 1.250, 95% CI: 1.266-1.461, P = 0.006). Furthermore, a linear relationship between lnRCII and EMS was observed via RCS analysis. According to subgroup analysis, the relationship between lnRCII and EMS has a consistent association across the majority of the population. (P for interaction > 0.05). Conclusion: In the US population, RCII was substantially linked to a higher risk of EMs, suggesting that the lipid metabolism-inflammation axis may represent a potential target for intervention in the prevention or treatment of EMs.

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cross-sectional studyendometriosisNHANESremnant cholesterol inflammatory index

Identifiers

PMID41859705
PMCPMC12998464

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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.