Evidence map›Paper›PMID 42898542›Full record

ArticleFrontiers in public health2026

Prevalence and genotype distribution of human papillomavirus among 15,224 gynecological outpatients in Xuzhou, China, during 2023-2025.

Shuo Chai, Lulu Hu, Wenting Fan, Ying Li, Zhijian Liu, Ziwei Song, Shibao Li, Yingxing Zhu

Abstract read
In one paragraph

Article in Frontiers in public 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

8 authors.

Shuo Chai *Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Lulu Hu *Department of Pathology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Wenting FanDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Ying LiDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhijian LiuDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Ziwei SongDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shibao LiDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yingxing ZhuDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated HPV prevalence and genotype distribution among gynecological outpatients at the Affiliated Hospital of Xuzhou Medical University, aiming to inform region-specific cervical cancer prevention strategies. Methods: We determined the HPV subtypes by polymerase chain reaction (PCR) and analyzed the HPV prevalence, genotype distribution in 15,224 gynecological outpatients by age group and year. Results: Among the 15,224 outpatients, 4,884 (32.08%) tested positive for HPV, with single high-risk HPV (HR-HPV) infection being the predominant pattern (16.48%). The top five HR-HPV genotypes were HPV52 (5.58%), 16 (4.93%), 58 (4.49%), 53 (3.54%), and 56 (2.51%). The top three low-risk HPV (LR-HPV) genotypes were HPV42 (3.30%), 81 (2.16%), and 43 (1.76%). From 2023 to 2025, the overall HPV prevalence among this study population exhibited a significant increasing trend, rising from 27.57 to 36.63% ( Conclusion: The prevalence of HPV infection among women attending gynecological outpatient clinics of the Affiliated Hospital of Xuzhou Medical University is relatively high and has demonstrated an increasing trend over the study period. Adolescents and middle-aged and older women exhibit higher HPV prevalence. The predominant genotypes are HR-HPV52, 16, 58, 53, and 56, as well as LR-HPV42, 81, and 43. In addition to strengthening universal health education, the observed age-specific distribution suggests that young women and middle-aged and older women may be important target groups for future prevention strategies. Furthermore, the high prevalence of non-vaccine-covered genotypes (HPV53, 56, 42, 81, and 43) warrants continued surveillance and further investigation of their clinical significance, although these implications should be considered preliminary.

Indexed as

Human Papillomavirus VirusesOutpatientsPapillomaviridaePapillomavirus InfectionsAdolescentAdultAgedChinaFemaleGenotypeHumansMiddle AgedPolymerase Chain ReactionPrevalenceYoung Adultcervical cancerChinagenotype distributionhuman papillomavirusprevalenceXuzhou

Identifiers

PMID42898542
PMCPMC13677893

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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.