Evidence map›Paper›PMID 41250008›Full record

ArticleBMC infectious diseases2025

Prevalence of human papillomavirus infection and its associations with metabolic risk factors in China: a nationwide population-based study.

Yunli Chen, Heling Bao, Sailimai Man, Yi Sun, Yuanyuan Huang, Yan Luo, Liping Yan, Canqing Yu, Jun Lv, Linhong Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
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 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Yunli Chen *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Heling Bao *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Sailimai Man *Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Yi SunInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuanyuan HuangInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan LuoInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Liping YanInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Linhong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Bo Wang *Meinian Institute of Health, Beijing, 100044, China. paul@meinianresearch.com.
Liming Li *Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. lmlee@bjmu.edu.cn.
Hui Liu *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. liuhui@pumc.edu.cn.

Funding

Institute of Medical Information Chinese Academy Medical Sciences Youth Talent Development Fund 2024YT02National Key R&D Program of China 2022YFF0711900Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2024-ZHCH630-01
6 · The paper itself

Abstract

backgroundThe association between metabolic risk factors and human papillomavirus (HPV) infection is under debate. This study aimed to investigate the associations between metabolic risk factors and HPV infection, while also providing updated data on the prevalence of HPV infection in the post-vaccine era in China.

methodsThis cross-sectional study involved 684,632 adult women who had undergone a standard health screening in 2019. HPV infection prevalence was estimated. Linear and nonlinear associations between HPV infection and metabolic risk factors were assessed, such as body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), and low-density lipoprotein (LDL).

resultsThe standardized prevalence of overall and high-risk HPV infection was 16.2% (95% confidence interval [95%CI]: 15.1-17.3) and 12.8% (95%CI: 11.8-13.7), respectively. HPV infection was negatively associated with BMI, with women in the highest quartile having the lowest odds of infection compared to those in the lowest quartile (odds ratio [OR] = 0.84, 95%CI: 0.78-0.91, P < 0.0001), indicating a significant linear trend (P

conclusionsThe prevalence of HPV infection in China remains high, and metabolic risk factors might be associated with an increased susceptibility to HPV. Longitudinal studies are needed to validate the association between metabolic risk factors and HPV infection.

Indexed as

Papillomavirus InfectionsAdultAgedBlood GlucoseBlood PressureBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMiddle AgedPapillomaviridaePrevalenceRisk FactorsYoung AdultBlood GlucoseGenotypeHuman papillomavirusMetabolic risk factorsPrevalence

Identifiers

PMID41250008
PMCPMC12625308

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Registered trials

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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.