Evidence map›Paper›PMID 41024617›Full record

Observational studyCancer biology & medicine2025

Evaluation of an intelligent digital platform for population management in cervical cancer screening.

Xinhua Jia, Chen Gao, Xi'ao Da, Jingyi Shi, Mingyang Chen, Rufei Duan, Zhifang Li, Ruimei Feng, Yao Yang, Jiahuan Zhai and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Cancer biology & medicine, 2025. 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

13 authors.

Xinhua Jia *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Chen Gao *Tencent Inclusive Health Lab, Beijing 100193, China.
Xi'ao DaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Jingyi ShiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Mingyang ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Rufei DuanDepartment of Cancer Prevention and Control, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China.
Zhifang LiSchool of Public Health, Changzhi Medical College, Changzhi 046000, China.
Ruimei FengSchool of Public Health, Shanxi Medical University, Jinzhong 030001, China.
Yao YangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Jiahuan ZhaiTencent Inclusive Health Lab, Beijing 100193, China.
Hanyue DingSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Alex NgTencent Inclusive Health Lab, Beijing 100193, China.ORCID 0000-0001-7175-0202
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.ORCID 0000-0001-6380-0871

Funding

Chongqing Tencent Sustainable Development Foundation through the project "Comprehensive Prevention and Control Demonstration Project for Eliminating Cervical Cancer and Breast Cancer in Low Health Resource Areas of China" SD20240904145730Tencent Sustainable Social Value (SSV) Inclusive Health Lab SSVPJ202307060001
6 · The paper itself

Abstract

objectiveTo describe temporal changes associated with deployment of an optical character recognition (OCR)-enabled One-Identity (One-ID) digital platform for rural cervical cancer screening, focusing on over-screening rates, CIN2+ detection, colposcopy follow-up, and CIN2+ management.

methodsA multi-county pre-post observational study was conducted in six rural counties in Shanxi, Yunnan, and Sichuan Provinces (2021-2024), encompassing 153,978 encounters. The digital platform integrates OCR identity capture, deterministic One-ID linkage, and real-time duplicate alerts. Over-screening proportions before and after digital deployment were compared, changes in CIN2+ detection rate were evaluated, and colposcopy follow-up and CIN2+ management were assessed. Differences were tested with χ

resultsAmong 153,978 encounters, the proportion of over-screening decreased from 12.64% in 2023 to 0.17% in 2024 with an absolute reduction of 12.17% (95% CI: 11.94-12.40;

conclusionsThe OCR-enabled One-ID platform substantially reduced over-screening, increased CIN2+ detection rate, and strengthened case follow-up/management, particularly where baseline tracking was weak, supporting scalable digital reinforcement of rural screening programmes.

Indexed as

Early Detection of CancerUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAgedChinaColposcopyFemaleHumansMass ScreeningMiddle AgedRural PopulationCervical cancer screeningdigital healthover-screeningpopulation managementrural China

Identifiers

PMID41024617
PMCPMC12501891

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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.