Evidence map›Paper›PMID 41358249›Full record

ArticleFrontiers in public health2025

Comparative evaluation of two DNA methylation assays for triage of hrHPV E6/E7 mRNA-positive women.

Qiuxia Yang, Yongmei Jiang, Fang Liu, Li Chang, Guanglu Che, Shuyu Lai, Jie Teng, Jiaxin Duan, Hui Jian

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

9 authors.

Qiuxia YangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Yongmei JiangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Fang LiuDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Li ChangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Guanglu CheDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Shuyu LaiDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Jie TengDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Jiaxin DuanDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Hui JianDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The low specificity of high-risk human papillomavirus (hrHPV) testing necessitates effective triage strategies to avoid unnecessary colposcopy. DNA methylation testing shows promise, but its performance specifically in hrHPV E6/E7 mRNA-positive women, a population with active oncogenic activity, requires further evaluation. Methods: This study evaluated the clinical performance of two commercial methylation-specific PCR assays, GynTect Results: Both GynTect Conclusion: Overall, although limited by its single-center design and modest sample size, GynTect

Indexed as

DNA MethylationPapillomavirus InfectionsTriageUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultFemaleHumansMiddle AgedOncogene Proteins, ViralPolymerase Chain ReactionRNA, MessengerSensitivity and SpecificityOncogene Proteins, ViralRNA, Messengerassaycervical lesionHPV E6/E7 mRNAmethylation markertriage

Identifiers

PMID41358249
PMCPMC12678232

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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.