Evidence map›Paper›PMID 42415033›Full record

ArticleBMC medicine2026

Potential health impact of therapeutic HPV vaccines in China: a modeling study.

Chenghao Pan, Shangying Hu, Tingting You, Meng Gao, Yanling Zhong, Xinyuan Wang, Youlin Qiao, Xuelian Zhao, Fanghui Zhao, Mark Jit

Abstract read
In one paragraph

Article in BMC medicine, 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.

Chenghao PanNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shangying HuNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tingting YouScientific Research Center, Friendship Hospital, Beijing, China.
Meng GaoDepartment of Epidemiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yanling ZhongNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinyuan WangNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Youlin QiaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuelian ZhaoNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. xuelian503@126.com.
Fanghui ZhaoNational Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. zhaofangh@cicams.ac.cn.
Mark JitDepartment of Infectious Disease Epidemiology, School of Global Public Health, New York University, New York, USA.

Funding

National Natural Science Foundation of China 82574180
6 · The paper itself

Abstract

backgroundTherapeutic HPV vaccines (TxVs) may complement existing cervical cancer prevention strategies, particularly for women already infected with HPV who derive limited benefit from prophylactic vaccination. As China advances toward the WHO 90-70-90 cervical cancer elimination targets, understanding the potential health impact of therapeutic vaccines under varying implementation scenarios is critical.

methodsWe developed a two-stage hybrid model combining a dynamic HPV transmission model with a natural history model of HPV-related disease progression to project the long-term health impact of therapeutic HPV vaccines in China from 2025 to 2125. Two vaccine types aligned with WHO Preferred Product Characteristics were evaluated: one targeting HPV infection clearance (TxV1) and one targeting treatment of cervical intraepithelial neoplasia (CIN) grade 2 or 3 (TxV2). Vaccination was modelled under two use cases: population-based delivery and integration into existing national screening programmes. Outcomes included cervical cancer cases and deaths averted, relative reductions compared with no therapeutic vaccination, age-standardised incidence, and the projected year of elimination. One-way and probabilistic sensitivity analyses evaluate model uncertainty.

resultsIn the base case, screening-integrated TxV1 (Use Case 2) could avert up to 834.0 thousand cervical cancer cases (12.7% reduction) and accelerate elimination by 11 years, while population-based TxV1 could avert 169.6-474.0 thousand cases (2.6-7.2% reduction). TxV2 showed more modest effects (2.4-7.4% reduction) and was highly sensitive to conventional CIN treatment coverage. Therapeutic vaccine impact was greater in scenarios with limited scale-up of prophylactic vaccination. Vaccine efficacy, coverage, genotype spectrum, and rollout timing were key drivers of impact.

conclusionsTherapeutic HPV vaccines with substantial efficacy could reduce the cervical cancer burden in China, particularly during the transition toward full-scale prophylactic vaccination and screening. These findings support continued investment in therapeutic HPV vaccine development and provide evidence to inform national strategy planning aligned with elimination goals.

Indexed as

Human Papillomavirus VirusesPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsAdultChinaFemaleHumansMiddle AgedUterine Cervical DysplasiaVaccinationYoung AdultPapillomavirus VaccinesCervical cancerCervical intraepithelial neoplasiaHealth impactModeling studyTherapeutic HPV vaccines

Identifiers

PMID42415033
PMCPMC13637135

What Socratic 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 Socratic graph.