Evidence map›Paper›PMID 40225780›Full record

ArticleChina CDC weekly2025

Association Between High-Risk Human Papillomavirus Infection and Cervical Cytology in Health Check-Up Women - 23 PLADs, China, 2023.

Di Gao, Gengli Zhao, Xueyin Wang, Juan Juan, Yupeng Shi, Taoye Xu, Yue Wang, Linhong Wang, Xiaosong Zhang

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
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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

9 authors.

Di GaoDepartment of Obstetrics and Gynecology and Reproductive Medicine, Peking University First Hospital, Beijing, China.
Gengli ZhaoDepartment of Obstetrics and Gynecology and Reproductive Medicine, Peking University First Hospital, Beijing, China.
Xueyin WangDepartment of Obstetrics and Gynecology and Reproductive Medicine, Peking University First Hospital, Beijing, China.
Juan JuanDepartment of Obstetrics and Gynecology and Reproductive Medicine, Peking University First Hospital, Beijing, China.
Yupeng ShiHangzhou Dian Medical Laboratory Center, Hangzhou City, Zhejiang Province, China.
Taoye XuHangzhou Dian Medical Laboratory Center, Hangzhou City, Zhejiang Province, China.
Yue WangHangzhou Dian Medical Laboratory Center, Hangzhou City, Zhejiang Province, China.
Linhong WangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaosong ZhangDepartment of Obstetrics and Gynecology and Reproductive Medicine, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Previous studies have documented the prevalence and distribution of human papillomaviruses (HPV) infection. However, there is limited current nationwide data on HPV distribution across different cytological conditions in recent years. What is added by this report?: This nationwide, cross-sectional study reveals that detection rates of HR-HPV infection and abnormal cytology among women undergoing health check-ups remain relatively high in China. Among women with abnormal cervical cytology, HPV-16 was the most prevalent HR-HPV genotype, followed by HPV-58 and HPV-52. What are the implications for public health practice?: These findings, based on a large population sample across China, provide critical insights into current cervical cancer screening outcomes and can inform the development of HPV genotype-specific vaccination and screening strategies to reduce cervical cancer burden.

Indexed as

Cervical cancer screeningCervical cytologyHuman papillomaviruses

Identifiers

PMID40225780
PMCPMC11982919

What OpenQuestion holds

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Registered trials

None linked

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.