Evidence map›Paper›PMID 42253840›Full record

ArticleInternational journal of women's health2026

Optimizing the Management of Menopause-Related Chronic Diseases in Rural Settings: A Closed-Loop "Screening-Prevention-Treatment" Model to Promote Healthy Aging - A Descriptive Study.

Jianwei Xie, Ming Zhao, Hao Zhan, Xiaofang Jiang, Chunlan Yu, Zizi Rao, Yong Zhou

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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. Cited by 1 paper.

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1citing papers 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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jianwei XieDepartment of Women's Health, Changshan County Maternal and Child Health Hospital, Quzhou, Zhejiang, People's Republic of China.
Ming Zhao *Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Hao ZhanDepartment of Women's Health, Changshan County Maternal and Child Health Hospital, Quzhou, Zhejiang, People's Republic of China.
Xiaofang JiangDepartment of Women's Health, Changshan County Maternal and Child Health Hospital, Quzhou, Zhejiang, People's Republic of China.
Chunlan YuDepartment of Women's Health, Changshan County Maternal and Child Health Hospital, Quzhou, Zhejiang, People's Republic of China.
Zizi RaoDepartment of Women's Health, Changshan County Maternal and Child Health Hospital, Quzhou, Zhejiang, People's Republic of China.
Yong Zhou *Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0001-7812-8280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In rural regions, menopausal symptoms frequently coexist with chronic comorbidities (bone metabolism, cardiovascular, psychological, and urogenital disorders). A structural contradiction of high disease burden, low healthcare utilization, and fragmented management persists due to complex multidimensional barriers. Objective: This study evaluates a closed-loop "screening-prevention-treatment" pathway shifting the management focus from isolated symptom relief to comprehensive control of menopause-related chronic disease clusters in resource-constrained rural settings. Methodology: A retrospective descriptive study evaluated a real-world implementation in Changshan County, integrating proactive screening into public health projects via a collaborative network. Data from 10,224 women were extracted from electronic records. The protocol used the modified Kupperman Index and sex hormone profiling for risk stratification to guide targeted interventions-from lifestyle modifications to menopausal hormone therapy (MHT)-with long-term digital follow-up. Results: Among 10,224 screened women, 2910 (28.46%) exhibited abnormal sex hormones. Of 1995 symptomatic women, 626 initiated interventions (31.37% treatment initiation rate). MHT uptake correlated with symptom severity, reaching 65.50% in the moderate and 100% in the severe group (Kupperman >30). The diagnosis-to-treatment conversion rate reached 72.09% in women aged 40-45 years. The screening yielded pleiotropic benefits, incidentally identifying 11.8 non-target abnormalities (eg, renal/hepatic dysfunction) per 100 screened women. Conclusion: This closed-loop model effectively addresses fragmented care for rural menopausal women. Utilizing active screening and risk stratification significantly improves diagnostic conversion rates and resource efficiency, providing a replicable framework for managing menopause-related comorbidities and promoting healthy aging in grassroots settings.

Indexed as

chronic disease managementclosed-loop managementhealthy agingmenopauserural healthscreening

Identifiers

PMID42253840
PMCPMC13242199

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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.