Evidence map›Paper›PMID 41107974›Full record

ArticleVirology journal2025

Prevalence characteristics of human papillomavirus among women in Henan Province of China.

Xiaoying Zhu, Shenfeng Li, Chunbo Zhuang

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

3 authors.

Xiaoying ZhuDepartment of Blood Transfusion, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China. qiuying325@163.com.
Shenfeng LiClinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Chunbo ZhuangClinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to analyze the prevalence and genotype distribution of HPV among the female populations in Henan Province, which can provide an evidence for the local governments to make develop strategies for cervical cancer prevention and vaccination.

methodsThe study was designed to analyze the results of cervical swab HPV test results from female patients who visited the First Affiliated Hospital of Zhengzhou University from January 2020 to May 2023. The collected cervical specimens were processed using specialized nucleic acid extraction reagents to obtain purified nucleic acid extracts. Genotype identification was then performed via real-time fluorescence PCR technology with two commercial detection kits. The assay detects 23 HPV genotypes (17 high-risk types: 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, 82; and 6 low-risk types: 6, 11, 42, 43, 44, 81). The HPV prevalence was calculated using GraphPad Prism 8.0.

resultsThe overall HPV prevalence was 21.31% (12,950/60,765) among the 60,765 female patients, of which the single, double, and multiple HPV infections accounted for 14.81% (9,001/60,765), 4.25% (2,584/60,765), and 2.25% (1,365/60,765) of the total cases. 17.82% (10,836/60,765) of the total samples were infected with high-risk HPV (HR-HPV), accounting for 83.67% (10,836/12,950) of the HPV positive women. The most common infection pattern is HPV single infection, accounting for 69.51% of the positive women. The top four most commonly detected types were HPV-52 (4.30% 2,612/60,765), HPV-58 (2.81% 1,710/60,765), HPV-16 (2.81% 1,709/60,765), and HPV-53 (2.25% 1,367/60,765). The positive rate of HPV among different age groups was statistically significant (p<0.05).

conclusionThis study provides baseline data on the epidemiological characteristics of HPV. The prevalence of HPV among women in Henan Province is high. The highest prevalence is among women less than 20 years. The predominant genotypes identified were HPV 52, 58, 16, and 53. This genotype distribution suggests that the Gardasil 9 vaccine, which covers HPV 52, 58, and 16, could potentially address a significant proportion of high-risk HPV infections in this population. The high prevalence of HPV 53, a genotype not targeted by current vaccines, warrants further investigation into its oncogenic role and epidemiological significance.

Indexed as

PapillomaviridaePapillomavirus InfectionsAdolescentAdultAgedCervix UteriChinaDNA, ViralFemaleGenotypeHuman Papillomavirus VirusesHumansMiddle AgedPrevalenceUterine Cervical NeoplasmsYoung AdultDNA, ViralCervical cancerGenotypeHuman papillomavirus

Identifiers

PMID41107974
PMCPMC12535070

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LicenceCC BY-NC-ND
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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.