Evidence map›Paper›PMID 42866570›Full record

ReviewCancer management and research2026

A Holistic Framework for Cervical Cancer Screening and Risk Stratification: Integrating Etiology, Morphology, Epigenetics, and Microecology.

Hong Tao, Xiaozhu Pei, Hongtao Li, Hua Xie, Jincheng Fang

Abstract readReview
In one paragraph

Review in Cancer management and research, 2026. 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

5 authors.

Hong TaoClinical Medical Department, Hunan Holistic Health Technology Co., Ltd., Changsha, 410205, People's Republic of China.ORCID 0000-0003-0019-3861
Xiaozhu PeiClinical Medical Department, Hunan Holistic Health Technology Co., Ltd., Changsha, 410205, People's Republic of China.
Hongtao LiResearch and Development Department, Hunan Hoomya Gene Technology Co., Ltd., Changsha, 410205, People's Republic of China.
Hua XieClinical Medical Department, Hunan Holistic Health Technology Co., Ltd., Changsha, 410205, People's Republic of China.
Jincheng FangClinical Medical Department, Hunan Holistic Health Technology Co., Ltd., Changsha, 410205, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) remains a major global health burden despite being highly preventable through early detection. Current screening strategies, predominantly high-risk human papillomavirus (HR-HPV) testing and liquid-based cytology (LBC), have limited specificity, leading to unnecessary colposcopic referrals and overtreatment. This narrative review proposes a conceptual holistic screening framework-termed HADm-that integrates four complementary pillars into a unified risk stratification system: (1) Etiology (HR-HPV genotyping), (2) Morphology (artificial intelligence-assisted LBC, Ai-LBC), (3) Epigenetics (DNA methylation [DNAm] biomarkers, with PAX1 methylation as an example), and (4) Microecology (genital pathogens and vaginal microbiota). Persistent HR-HPV infection is the primary etiological factor, while disease progression is modulated by host epigenetic alterations and the local microenvironment. DNAm markers may serve as molecular indicators of malignant transformation and have shown high specificity for cervical intraepithelial neoplasia grade 2 or worse (CIN2+) and grade 3 or worse (CIN3+) among human papillomavirus (HPV)-positive women in some studies. Ai-LBC may improve both sensitivity and standardization of morphological interpretation, whereas genital pathogen and microbiota may help explain persistent HPV infection and chronic inflammation. However, evidence for the combined HADm framework remains limited, and prospective multicenter validation is lacking. This framework represents a shift from single-analyte testing toward integrated risk assessment, but its incremental clinical value, cost-effectiveness, and feasibility in low- and middle-income countries require rigorous evaluation. If validated, HADm may support precise risk stratification, individualized follow-up, and more efficient resource allocation, aligning with the World Health Organization (WHO) global goal of accelerating CC elimination by 2030.

Indexed as

AI-assisted cytologycervical cancer screeningDNA methylationHPV genotypingliquid-based cytologymicrobiota

Identifiers

PMID42866570
PMCPMC13656901

What OpenQuestion holds

Textmetadata
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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.