Evidence map›Paper›PMID 37669845›Full record

ArticleBMJ open2023

HPV prevalence and genotype distribution among 38 056 women in Weifang, China: a cross-sectional study.

Mengmeng Liu, Xuguang Zhang, Lulu Guo, Wanli Sun, Xuanli Jiang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Mengmeng LiuDepartment of Clinical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, China lmm909250@163.com.ORCID 0000-0002-5051-8217
Xuguang ZhangDepartment of Clinical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, China.
Lulu GuoDepartment of Clinical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, China.
Wanli SunDepartment of Clinical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, China.
Xuanli JiangDepartment of Clinical Laboratory, Affiliated Hospital of Weifang Medical University, Weifang, China.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHuman papillomavirus (HPV) infection is closely associated with cervical cancer, especially the persistent infection of high-risk HPV (HR-HPV) genotypes. Therefore, investigating the HPV prevalence, age-specific, genotype distribution and the impact of the COVID-19 pandemic among large populations was essential for HPV screening and optimising vaccination.

designThis was a cross-sectional study.

methodsA total of 38 056 cervical epithelial cell specimens were collected in Weifang city from January 2018 to December 2022. The study was divided into seven age groups based on the age of the participants. HPV genotype testing was performed by using a commercial kit which is designed for the detection of 23 HPV genotypes.

resultA total of 8998 women were infected with HPV, with an overall positive rate of 23.64% (8998/38 056). Single infection of HPV was dominant among different age groups, which accounted for 71.33% of total infections. The most prevalent genotype was HR-HPV 16 (4.33%), followed by 52, 58, 53 and 68. Low-risk HPV (LR-HPV) 42 exhibited the highest prevalence (2.19%) among six LR-HPV genotypes, representing a novel finding. There was a significant difference in the prevalence across different age groups (p<0.01), with the highest prevalence in the group under 25 years old. During the 3 year COVID-19 breakout period, the number of HPV samples received in 2020, 2021 and 2022 was reduced by 24.03%, 14.79% and 24.76%, respectively. In 2018-2022, the annual prevalence varied between 21.09% and 25.30%, with a decreasing trend, while the prevalence of HR-HPV 39, 56, 31 and LR-HPV 42 increased.

conclusionThis study indicates a high-HPV infection rate and age-specific distribution characteristics of HPV genotype infections, as well as analyses of the impact of the COVID-19 outbreak on the HPV prevalence, which provides an epidemiological basis for the control and prevention of HPV infection in this region.

Indexed as

COVID-19Papillomavirus InfectionsAdultChinaCross-Sectional StudiesFemaleGenotypeHuman papillomavirus 18HumansPandemicsPapillomaviridaePrevalenceCOVID-19Infectious diseases & infestationsMolecular biologyVIROLOGY

Identifiers

PMID37669845
PMCPMC10481741
OpenAlexW4386461777

What OpenQuestion holds

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LicenceCC BY-NC
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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.