Evidence map›Paper›PMID 41063026›Full record

ArticleBMC infectious diseases2025

COVID-19 pandemic disruptions drive decreases in HPV prevalence and shift genotype distribution in Western China.

Yulin Liu, Yu Xiang, Yaoping Liu, Huan Deng, Fengyu Zhang, Yongjie Liu, Xiaonan Huang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers 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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Yulin LiuDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Yu XiangDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Yaoping LiuDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Huan DengDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Fengyu ZhangDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Yongjie LiuDepartment of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, 629000, China.
Xiaonan HuangReproductive Medicine Center, Suining Central Hospital, Suining, China. 659287682@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis population-based study investigated longitudinal changes in the prevalence and genotype distribution of HPV across the pre-pandemic (2017-2019), pandemic (2020-2022), and post-pandemic (2023-2024) periods in Western China.

methodsWe conducted a retrospective cohort analysis of 129,585 women, stratified into three chronological cohorts: pre-pandemic (n=40,044), pandemic (n=43,717), and post-pandemic (n=45,824) cohorts. Cervicovaginal specimens were analyzed via real-time PCR-based genotyping to detect 16 high-risk and 7 low-risk genotypes. Age-specific prevalence patterns were evaluated across six demographic strata (<20 to ≥60 years). Age-standardized prevalence rates were calculated using 2020 Chinese census data as a reference population.

resultsThe total HPV prevalence decreased from 31.59% before the pandemic to 23.28% during the pandemic, stabilizing at 21.45% after the pandemic. Nonvaccine-targeted HR-HPV subtypes (HPV-52, HPV-58) maintained persistent dominance across all phases, with the prevalence of HPV-52 decreasing from 6.00% before the pandemic to 3.00% after the pandemic. Adolescents (<20 years) presented the lowest infection rates, whereas peak rates were reported for women aged 40-49 years.

conclusionsThe sustained reduction in total HPV prevalence is potentially associated with pandemic-related behavioral modifications and healthcare disruptions. The persistent circulation of nonvaccine-targeted subtypes highlights gaps in current prevention strategies. These findings emphasize the need for comprehensive surveillance integrating catch-up screening and genotype-specific vaccine development to address post-pandemic HPV transmission dynamics.

Indexed as

COVID-19PapillomaviridaePapillomavirus InfectionsAdolescentAdultAgedChinaFemaleGenotypeHumansMiddle AgedPandemicsPrevalenceRetrospective StudiesSARS-CoV-2Young AdultCOVID-19GenotypeHuman papillomavirusPrevalence

Identifiers

PMID41063026
PMCPMC12505868

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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.