Evidence map›Paper›PMID 40761361›Full record

ArticleBMJ public health2025

Distribution and extended triage of high-risk human papillomavirus genotyping based on vaginal self-sampling.

Jingran Li, Chen Yao, Chao Zhao, Mingzhu Li, Ling Li, Zhixin Lin, Zhijun Zhang, Jihong Deng, Rong Liu, Yingying Hu and 8 more

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Jingran LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-3096-7581
Chen YaoPeking University Clinical Research Institute, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-4224-5535
Chao ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8430-3946
Mingzhu LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0937-7862
Ling LiDepartment of Obstetrics and Gynecology, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-0120-6927
Zhixin LinDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.ORCID https://orcid.org/0009-0000-3477-6681
Zhijun ZhangDepartment of Obstetrics and Gynecology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Jihong DengDepartment of Obstetrics and Gynecology, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China.
Rong LiuDepartment of Obstetrics and Gynecology, Xining First People's Hospital, Xining, Qinghai, China.ORCID https://orcid.org/0000-0002-9854-6137
Yingying HuDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Zhejiang University Medical College, Yiwu, Zhejiang, China.ORCID https://orcid.org/0000-0001-5120-0166
Songling ZhangDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, Jilin, China.ORCID https://orcid.org/0000-0002-3579-0175
Bei LinDepartment of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-8881-9859
Ruifang AnDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0003-2516-0484
Yun ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-7945-4464
Xinfeng QuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.ORCID https://orcid.org/0009-0007-9698-1956
Hui DuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-4151-8127
Ruifang WuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-1780-6540
Lihui WeiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-1388-6691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the overall and type-specific prevalence of high-risk human papillomavirus (HR-HPV) infection in China across different age groups and regions and to evaluate the triage of HPV-positive cases. Methods: A prospective cross-sectional study recruited a total of 20 103 women aged 30-59 years from 13 provinces in China. Self-collected vaginal samples were tested for 14 HR-HPV types using next-generation sequencing or multiplex real-time PCR assays. Results: The five most common types were HPV52, 58, 16, 39 and 51. The prevalence of single-type HR-HPV was 10.70%. The overall proportion of HPV16/18 was 20.67%, with a significant difference observed among provinces (p<0.05). The age-specific prevalence curve of HR-HPV followed a U-shaped pattern from 30 to 59 years, with a lower prevalence observed in women aged 40-44 years (12.35%), which subsequently changed with age. The proportion of women aged 30-34 years with HPV16 (21.59%) was significantly higher than that in other age groups, showing two peaks in young and older women. There was a significantly higher prevalence of HPV16 single-type infection in the youngest group, whereas HPV16 multi-type infection was higher in older women. Among cervical intraepithelial neoplasia grade 2 or higher (CIN)2+ cases, HPV16 infection accounted for 43.98%, HPV18 infection for 7.84%, and other 12 infections for 48.20%. HPV16 had the highest sensitivity for detecting CIN2+, reaching 42.7% among single HPV types, followed by HPV52 and HPV58. When HPV16/18/33 were combined for detection, the sensitivity for detecting CIN2+ increased to 66.67%. Conclusions: The prevalence and genotype distribution of HR-HPV based on vaginal self-sampling varied across different regions and ages in China. HPV16 was more prevalent in both younger and older age groups. Different HPV subtypes have different detection rates for CIN2+, and combining HPV16/18/33 significantly improved the sensitivity for detecting CIN2+.

Indexed as

Disease Transmission, InfectiousHuman Papillomavirus VirusesPublic Health

Identifiers

PMID40761361
PMCPMC12320036

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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.