Evidence mapPaperPMID 41809682Full record

ArticleInternational journal of women's health2026

Primary HPV Infection in Postmenopausal Women: A Cohort Study to Enable Risk-Stratified Management.

Jing Ye, Gengyu Wu

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In one paragraph

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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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

2 authors.

Jing YeDepartment of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Gengyu WuDepartment of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.ORCID 0009-0009-6901-1668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims both to identify the independent risk factors for high-grade cervical intraepithelial neoplasia (HSIL) and to develop and validate a clinical risk stratification model. Patients and Methods: This study retrospectively enrolled 400 postmenopausal women with HR-HPV high-risk human papillomavirus (HR-HPV) positivity and biopsy-confirmed cervical intraepithelial neoplasia. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of HSIL, and a predictive model was constructed. This model was subsequently validated using an independent cohort of 172 patients. Results: Multivariate analysis identified older age, higher parity, HPV 16/18, and hypertension as independent risk factors for HSIL. The regression model based on these factors demonstrated good discrimination in the validation set, with an area under the receiver operating characteristic curve (AUC) of 0.805 in the training set and 0.778 in the validation set. Risk stratification according to the model revealed a significant ascending trend in HSIL prevalence across the defined risk groups. The diagnostic performance for HSIL was evaluated for key predictors, showing an AUC of 0.769 for HPV 16/18 genotype alone and 0.792 for its combination with age. Conclusion: A predictive model was constructed to effectively stratify the risk of HSIL in postmenopausal women with an initial HR-HPV infection. This tool facilitates the identification of high-risk individuals and provides a basis for individualized clinical management.

Indexed as

cervical intraepithelial neoplasiahigh-risk human papillomaviruspostmenopausalpredictive factorsrisk model

Identifiers

PMID41809682
PMCPMC12967863

What Socratic holds

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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 Socratic graph.