Evidence map›Paper›PMID 40707893›Full record

ArticleBMC cancer2025

Triage of women with a positive HPV DNA test: evaluating a DNA methylation panel for detecting cervical intraepithelial neoplasia grade 3 and cervical cancer in cervical cytology samples.

Yifei Ren, Fengjiang Qin, Li Shen, LanFang Li, Qingrong Wu, Ping Yi

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. DNMT Enzymes and Their Impact on Cervical Cancer: A State-of-the-Art Review.International journal of molecular sciences · 2025
    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.

Yifei Ren *Department of Obstetrics and Gynecology, Army Medical Center, Daping Hospital, Chongqing, 400038, China.
Fengjiang Qin *Department of Obstetrics and Gynecology, Chongqing University Fuling Hospital, Chongqing, 408000, China.
Li ShenDepartment of Obstetrics and Gynecology, Chongqing University Fuling Hospital, Chongqing, 408000, China.
LanFang LiDepartment of Obstetrics and Gynecology, Army Medical Center, Daping Hospital, Chongqing, 400038, China.
Qingrong WuDepartment of Obstetrics and Gynecology, Chongqing University Fuling Hospital, Chongqing, 408000, China. flyyqrwu1188@163.com.
Ping YiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. yiping@cqmu.edu.cn.

Funding

Incubation Program of the Third Affiliated Hospital of Chongqing Medical University KY23028
6 · The paper itself

Abstract

backgroundEfficient triage of high-risk human papillomavirus (hrHPV)-positive women is essential to avoid unnecessary referrals and overtreatment. This study evaluates the diagnostic accuracy of the commercially available DNA methylation panel, GynTect® (ASTN1, DLX1, ITGA4, RXFP3, SOX17, and ZNF671), in cervical cytology samples from 146 women for detecting cervical intraepithelial neoplasia grade 3 (CIN3) or cervical carcinoma (CC). This analysis focuses particularly on the performance of the ZNF671 methylation marker (ZNF671

resultsThe positive rates of all triage markers-hrHPV, TCT, HPV16/18, GynTect®, and ZNF671

conclusionZNF671

Indexed as

DNA MethylationPapillomavirus InfectionsTriageUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultBiomarkers, TumorDNA, ViralFemaleHuman Papillomavirus DNA TestsHumansMiddle AgedNeoplasm GradingPapillomaviridaeSensitivity and SpecificityYoung AdultBiomarkers, TumorDNA, ViralCervical cancerCINDNA methylationGynTect® testHigh-risk human papillomavirusTriage

Identifiers

PMID40707893
PMCPMC12288305

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.