Evidence map›Paper›PMID 40696417›Full record

ArticleInfectious agents and cancer2025

HPV16/HPV58 viral load is non-linearly correlated with cervical lesions and can be used as a triage marker.

Jie Zhou, Bingbing Ma, Jinjin Ji, Jianhong Liao, Hongyan Xu, Hongbo Hu

Abstract read
In one paragraph

Article in Infectious agents and cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jie Zhou *Department of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China.
Bingbing Ma *Department of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China.
Jinjin JiDepartment of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China.
Jianhong LiaoDepartment of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China.
Hongyan XuDepartment of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China. gdsgxhysci@163.com.
Hongbo HuDepartment of Gynaecology, Yuebei People's Hospital affiliated to Shantou University Medical College, Wujiang District, Shaoguan City, 512000, Guangdong Province, China. KAY0401@126.com.

Funding

Science and Technology Planning Project of Guangdong Province 210128166270630
6 · The paper itself

Abstract

The significance of viral load from high-risk human papillomavirus (HR-HPV) in the detection of cervical lesions is still debated. This study aims to assess the correlation between the viral load of the most common high-risk genotypes (HPV16, HPV18, HPV52, HPV53, HPV58, and HPV68) and cervical lesions in South China, and to ascertain the role of specific HPV viral load types as potential diagnostic biomarkers for cervical lesions. The study included 1787 patients, with HPV types and viral load measured by fluorescent PCR method. The relationship between viral load and cervical lesions was analyzed through both linear and non-linear methods. Viral loads of HPV 16/18/52/58 are risk factors for the occurrence of cervical lesions, Notably, HPV16 and HPV58 respectively demonstrated a non-linear association with the emergence of CIN1 + and CIN2 + cervical lesions, indicating that HPV viral load may serve as a stratification marker for recognizing heightened risk of cervical lesions, thus enhancing risk stratification in cervical cancer screening.

Indexed as

Cervical cancer screeningCervical lesionsHuman papillomavirusViral load

Identifiers

PMID40696417
PMCPMC12281751

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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.