Evidence map›Paper›PMID 39205797›Full record

ArticleInfection and drug resistance2024

Prevalence and Genotype Distribution of Human Papillomavirus Infection Among Women in Wuhan, China: A Retrospective Study.

Dong Wang, Xinsheng Yan, Luo Yang, Litao Zhang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dong Wang *Department of Clinical Laboratory, Wuhan Asia General Hospital, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430056, People's Republic of China.ORCID 0009-0004-8055-7040
Xinsheng Yan *Department of Clinical Laboratory, Wuhan Asia General Hospital, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430056, People's Republic of China.
Luo YangDepartment of Clinical Laboratory, Wuhan Asia General Hospital, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430056, People's Republic of China.
Litao ZhangDepartment of Clinical Laboratory, Wuhan Asia General Hospital, Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430056, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Human papillomavirus (HPV) infection is a prevalent sexually transmitted infection worldwide, with its persistence being a significant factor in the development of cervical cancer and precancerous lesions. Understanding the prevalence and genotypes distribution of HPV can aid in the implementation of more focused strategies for cervical cancer prevention and treatment. This study aimed to investigate the prevalence and genotype distribution of HPV infection among outpatient-based populations in Wuhan, China. Methods: Our study retrospectively analyzed the results of cervical HPV screening in 14,492 outpatient women. The cervicovaginal infection of 18 high-risk genotypes and 10 low-risk genotypes were analyzed by PCR and reverse dot hybridization techniques. Results: The overall prevalence of HPV infection in the outpatient female population was 15.33%, with a predominance of single infection and a predominance of dual infection among multiple infections. The top five genotypes in terms of prevalence of HR-HPV and LR-HPV were HPV-52 (3.77%), 53 (1.46%), 16 (1.31%), 58 (1.19%), 39 (1.18%) for HR-HPV, and HPV-54 (1.23%), 61 (1.08%), 81 (1.04%), 42 (0.87%), 44 (0.70%) for LR-HPV. Two peaks of HPV infection prevalence were observed among women under 25 years (22.88%) and over 56 years (24.26%). The prevalence and genotype distribution of HPV infection varied among different outpatient populations, with higher rates of HPV single infection, multiple infections, and infection across all ages observed in the gynecology outpatient population compared to the health check-up population. Conclusion: This study revealed the HPV prevalence and genotype distribution among different outpatient populations in Wuhan city, which may provide guidance for HPV vaccination and cervical cancer prevention strategies in the region.

Indexed as

cervical cancergenotypehigh-risk HPVhuman papillomaviruslow-risk HPVprevalence

Identifiers

PMID39205797
PMCPMC11352622

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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.