Evidence map›Paper›PMID 38590815›Full record

ArticleFrontiers in public health2024

Epidemiology of human papillomavirus infection in women from Xiamen, China, 2013 to 2023.

Xingmei Yao, Qing Li, Yu Chen, Zhuowen Du, Yanru Huang, Yixi Zhou, Jian Zhang, Wenbo Wang, Lutan Zhang, Jieqiong Xie and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Xingmei Yao *Department of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Qing Li *Department of Women Health Care, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yu Chen *United Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen, Fujian, China.
Zhuowen DuUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen, Fujian, China.
Yanru HuangDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yixi ZhouDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Jian ZhangDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Wenbo WangDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Lutan ZhangDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Jieqiong XieDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Chao XuDepartment of Information Center, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yunsheng GeDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Yulin ZhouDepartment of Central Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical cancer is primarily caused by HPV infection. The epidemiology of HPV infection in specific areas is of great meaning of guide cervical cancer screening and formulating HPV vaccination strategies. Here, we evaluated the epidemiological characteristics of HPV infection in Xiamen population. Methods: In total, 159,049 cervical exfoliated cell samples collected from female outpatients in Women and Children's Hospital, School of Medicine, Xiamen between January 2013 and July 2023 were analyzed. HPV DNA detection was performed using HPV genotyping kits (Hybribio Limited Corp, China). An analysis was conducted on the prevalence of HPV infection, taking into account factors such as age, year, and multiple patterns of HPV infection. The differences in prevalence among age groups and years were compared using χ Results: The overall prevalence of any 21 HPV genotypes was 18.4%, of which the high-risk HPV (HR-HPV) positive rate was 14.6%. The age-specific prevalence of HPV infection showed a bimodal distribution, with two distinct peaks, one at <25 years (31.2%) and the other at 60-64 years (32.9%). There was a downward trend in the prevalence of HPV infection over time, decreasing from 26.2% in 2013 to 14.5% in 2021, and then increasing to 19.0% in 2023. The five most prevent HR-HPV genotypes were HPV52 (4.0%), 58 (2.6%), 16 (2.5%), 51 (1.8%), and 39 (1.7%). Among the positive cases, 76.7% were detected with only one genotype and 23.3% with multiple genotypes. The most common co-infection was HPV52 + HPV58 (0.24%), followed by HPV16 + HPV52 (0.24%), HPV52 + HPV53 (0.21%), HPV52 + HPV81 (0.21%), HPV51 + HPV52 (0.19%), HPV16 + HPV58 (0.18%), and HPV39 + HPV52 (0.17%). Conclusion: The study provided the largest scale information on the recent epidemiological characteristics of HPV infection in Xiamen, and even in Fujian Province, China, which would support making the prevention and control strategies for cervical cancer in the region.

Indexed as

AlphapapillomavirusHuman Papillomavirus VirusesPapillomavirus InfectionsUterine Cervical NeoplasmsAdultChildChinaEarly Detection of CancerFemaleHumansPapillomaviridaecervical cancergenotypehuman papillomavirus (HPV)infectionprevalence

Identifiers

PMID38590815
PMCPMC11000419

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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.