Evidence map›Paper›PMID 41575735›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Real-World Performance of HPV DNA-Based Screening in Health Resource-Limited Areas of China: A Multicenter Implementation Study.

Xinhua Jia, Xi'ao Da, Jingyi Shi, Mingyang Chen, Rufei Duan, Zhifang Li, Ruimei Feng, Chunxia Yang, Hanyue Ding, Youlin Qiao

Abstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 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

10 authors.

Xinhua JiaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0002-8399-6637
Xi'ao DaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0009-0005-2594-4977
Jingyi ShiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0009-0004-3187-631X
Mingyang ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0001-8852-8245
Rufei DuanDepartment of Cancer Prevention and Control, Yunnan Cancer Hospital The Third Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0001-5669-0176
Zhifang LiChangzhi Medical College, Changzhi, China.ORCID 0000-0002-1586-7606
Ruimei FengSchool of Public Health, Shanxi Medical University, Jinzhong, China.ORCID 0000-0001-8020-2654
Chunxia YangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-3461-525X
Hanyue DingSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0001-9977-0985
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0001-6380-0871

Funding

Tencent () SD20240904145730
6 · The paper itself

Abstract

backgroundCervical cancer remains a significant health burden in China. National policies now allow human papillomavirus (HPV) DNA as a primary screening test, but many health resource-limited counties have not adopted it because programs cannot fund reagents or laboratory platforms. We conducted a multicenter study in 10 pilot counties where HPV DNA screening was introduced with project-supported reagents, platforms, and training.

methodsWe analyzed data from 10 pilot counties designated by the National Cervical Cancer Prevention Program. A total of 63,223 women aged 35 to 64 years were screened with three strategies: (i) cytology alone, (ii) HPV DNA testing with cytology triage, and (iii) HPV DNA testing with visual inspection with acetic acid/Lugol iodine (VIA/VILI) triage. Key indicators included screen positivity rate, colposcopy rate, cervical intraepithelial neoplasia (CIN) 2+ detection, positive predictive value (PPV), and number needed to refer (NNR). Inverse probability weighting was used to adjust for loss to follow-up.

resultsHPV-based strategies were superior to cytology across all indicators. CIN2+ detection was two to three times higher, with the highest PPV in the HPV + cytology group (21.9%) and the lowest NNR (5.73), indicating higher referral efficiency. Loss to follow-up rate was also significantly reduced under the HPV + VIA/VILI strategy. These advantages were most prominent among women aged ≥45 years.

conclusionsWithin the first year of implementation, HPV DNA-based screening is feasible and more effective in health resource-limited areas of China and flexible triage models can be adapted. IMPACT: The findings support the integration of HPV DNA testing into national cervical cancer screening programs and highlight needs for robust follow-up systems in underserved populations.

Indexed as

DNA, ViralEarly Detection of CancerHuman Papillomavirus VirusesPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultChinaFemaleHumansMass ScreeningMiddle AgedDNA, Viral

Identifiers

PMID41575735
PMCPMC13040217

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.