Evidence map›Paper›PMID 42491208›Full record

ArticleFrontiers in medicine2026

Development and internal validation of a vaginal microecology-based multivariable prediction model for persistent high-risk human papillomavirus infection: a retrospective study.

Li He, Cui Hu, Zhongping Huang, Tao Huang, Yuting Xiao

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Article in Frontiers in medicine, 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

Authors and funding

5 authors.

Li HeDepartment of Obstetrics and Gynecology, Mianzhu City People's Hospital, Mianzhu, Sichuan, China.
Cui HuDepartment of Obstetrics and Gynecology, Mianzhu City People's Hospital, Mianzhu, Sichuan, China.
Zhongping HuangDepartment of Obstetrics and Gynecology, Mianzhu City People's Hospital, Mianzhu, Sichuan, China.
Tao HuangDepartment of Obstetrics and Gynecology, Mianzhu City People's Hospital, Mianzhu, Sichuan, China.
Yuting XiaoDepartment of Obstetrics and Gynecology, Mianzhu City People's Hospital, Mianzhu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Persistent high-risk human papillomavirus (HR-HPV) infection is a key determinant of cervical carcinogenesis, yet early identification of women at increased risk of persistence remains challenging in routine clinical practice. Vaginal microecological disturbances have been associated with HR-HPV persistence, but their integration into individualized risk prediction models has been insufficiently explored. Objective: To develop and internally validate a multivariable prediction model for persistent/recurrent HR-HPV positivity at 12 months using vaginal microecological and clinical characteristics. Methods: This retrospective study included women with baseline HR-HPV positivity, available baseline vaginal microecological examination results, and completed 12-month HR-HPV follow-up testing at a tertiary hospital gynecologic outpatient clinic between January 2019 and December 2024. A total of 1,186 women were included and randomly divided into a training cohort ( Results: Among the 1,186 women, 354 (29.8%) had persistent/recurrent HR-HPV positivity at 12 months. LASSO regression retained seven predictors for final model development: age, smoking status, HPV16/18 infection, vaginal pH, non-Lactobacillus-dominant microbiota, bacterial vaginosis, and moderate-to-severe local inflammation. In multivariable logistic regression, all seven variables remained independently associated with persistent/recurrent HR-HPV positivity. HPV16/18 infection showed the strongest association (OR 8.564, 95% CI 5.383-13.955, Conclusions: We developed and internally validated a vaginal microecology-based multivariable prediction model for persistent/recurrent HR-HPV positivity that showed promising discrimination, acceptable calibration, and potential clinical usefulness within this single-center cohort. This internally validated model may support individualized risk stratification and help identify women who may benefit from closer follow-up; however, external validation in independent cohorts is needed before broader clinical implementation.

Indexed as

high-risk human papillomavirusnomogrampersistent hpv positivityprediction modelvaginal microecology

Identifiers

PMID42491208
PMCPMC13376309

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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.