Evidence map›Paper›PMID 41054957›Full record

ArticleCancer biology & medicine2025

Accelerating the elimination of global cervical cancer through intelligent training for colposcopy.

Mingyang Chen, Jiayi Ma, Yijin Wu, Haiyan Hu, Xiaoli Cui, Maria José Gonzalez Mendez, Roberto Altamirano, Nomin-Erdene Tsogtgerel, Erdenejargal Ayush, Lingqing Qiu and 6 more

Abstract read
In one paragraph

Article 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

16 authors.

Mingyang ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China.
Jiayi MaTencent Sustainable Social Value Inclusive Health Lab, Tencent, Beijing 100080, China.
Yijin WuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China.
Haiyan HuDepartment of Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China.
Xiaoli CuiDepartment of Gynecologic Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang 110042, China.
Maria José Gonzalez MendezDepartment of Primary Care and Family Health, Faculty of Medicine, University of Chile, Santiago 8380492, Chile.
Roberto AltamiranoDepartment of Obstetrics and Gynecology, Hospital San Borja Arriaran, University of Chile, Santiago 7650778, Chile.
Nomin-Erdene TsogtgerelSupport Center for Interdisciplinary Collaboration Nongovernmental Organization, Ulaanbaatar 16052, Mongolia.
Erdenejargal AyushDepartment of Gynecology, National Cancer Center of Mongolia, Ulaanbaatar 13370, Mongolia.
Lingqing QiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China.
Xinhua JiaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China.
José Luis López VelázquezColposcopy Department, Hospital Regional Lic. Adolfo López Mateos ISSSTE, Mexico City 01030, Mexico.
Sulaiya HusaiyinDepartment of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 100001, China.
Aiyuan WuWuxi Maternity and Child Health Care Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi 214002, China.
Man Tat Alexander NgTencent Sustainable Social Value Inclusive Health Lab, Tencent, Beijing 100080, China.ORCID 0000-0001-7175-0202
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China.ORCID 0000-0001-6380-0871

Funding

CAMS Innovation Fund for Medical Sciences CIFMS 2021-I2M-1-004Sanming Project of Medicine in Shenzhen SZSM202211032Tencent Sustainable Social Value Inclusive Health Lab SSVPJ202307060001Tencent Sustainable Social Value Inclusive Health Lab and through the ChongQing Tencent Sustainable Development Foundation "Comprehensive Prevention and Control Demonstration Project for Eliminating Cervical Cancer and Breast Cancer in Low Health Resource Areas of China" SD20240904145730
6 · The paper itself

Abstract

objectiveCervical cancer remains a global health challenge with substantial disparities between countries. High-quality colposcopy is essential for cervical cancer prevention, yet training opportunities remain inadequate worldwide. We developed the Intelligent Digital Education Tool for Colposcopy (iDECO) to address training gaps and evaluated the effect across diverse international settings.

methodsSix pre-post interventional training programmes were conducted in China, Mexico, and Mongolia from December 2024 to May 2025. A total of 369 trainees from 87 centers participated in a 3-week online training programme using iDECO, a bilingual web-based platform featuring authentic colposcopy cases, gamified learning pathways, and personalized analytics. The primary outcomes included colposcopy competence in general assessment, colposcopic findings, diagnostic accuracy, and management decisions. The secondary outcomes focused on participant feedback and satisfaction.

resultsOf 369 participants who completed pretests, 333 (90.24%) completed post-training assessments. Significant improvements were observed across all competency domains. Diagnostic accuracy increased with an odds ratio (OR) of 1.72 (95% CI: 1.60-1.86) with the greatest gains in high-grade lesion identification [OR = 2.27 (95% CI: 1.94-2.64)]. Squamocolumnar junction visibility and transformation zone type assessments improved with ORs of 1.41 (95% CI: 1.31-1.51) and 1.87 (95% CI: 1.73-2.01), respectively. Biopsy decision-making accuracy also showed significant improvement [OR = 2.09 (95% CI: 1.91-2.29)]. International participants showed lower baseline performance but achieved the greatest improvements. Greater than 85% of participants rated the training highly satisfactory and 83.56% preferred intelligent training over traditional methods.

conclusionsiDECO-based training significantly improved colposcopy competence across diverse international settings with high user satisfaction. These findings support the potential for worldwide implementation of intelligent digital training tools to address colposcopy training gaps and contribute to the elimination of cervical cancer.

Indexed as

ColposcopyUterine Cervical NeoplasmsAdultChinaClinical CompetenceFemaleGlobal HealthHumansMiddle Agedcapacity buildingcervical cancerColposcopyintelligent trainingworldwide

Identifiers

PMID41054957
PMCPMC12501895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.