ArticleCost effectiveness and resource allocation : C/E2025
Optimizing strategy for cervical cancer prevention in china: a comprehensive modeling analysis.
Article in Cost effectiveness and resource allocation : C/E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Epidemiology and prevention of HPV-driven cervical cancer in urban-rural China: a population-based study of 60,280 women.Scientific reports · 2026Article
- Risk-stratified surveillance after LEEP: a nomogram integrating HPV persistence, margin status, and clinical factors to predict CIN2+ recurrence.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundWith the first domestic 9-valent human papillomavirus (HPV) vaccine soon to be introduced in China, alongside advancements in cervical cancer screening technologies, we aimed to evaluate and identify effective, cost-effective, and affordable cervical cancer prevention strategies suitable for China.
methodsWe developed a Markov model from the healthcare system perspective, comprising 18 ages strata and 9 health states, to predict the effectiveness, cost-effectiveness, and affordability of 38 different cervical cancer prevention strategies over the next 30 years, compared with no intervention. The model parameters were calibrated using least-squares fitting against real-world data and simulation results for the no-intervention scenario. Strategies were assessed and selected based on the World Health Organization's (WHO) cervical cancer elimination target (incidence < 4 per 100,000), cost-effectiveness threshold (Incremental cost effectiveness ratio [ICER] < one-time China's 2023 per capita GDP), and current cervical cancer prevention budget in China. We conducted one-way and probabilistic sensitivity analyses, and considered potential price reductions from centralized procurement to assess the robustness of the results.
resultsCompared with no intervention, 16 strategies could achieve cervical cancer elimination by 2050, 29 were highly cost-effective, and 11 were affordable. Overall, only screening women aged 35-64 using visual inspection with acetic acid (VIA) combined with bivalent vaccination for girls aged 9-14 met all criteria. This strategy could achieve cervical cancer elimination by 2041, with an ICER of US$2,543.91 per quality-adjusted life-year (QALY), and was deemed affordable. Sensitivity analysis indicated the results were robust. If price reductions from centralized procurement were considered, CareHPV, PAP, and 9-valent HPV vaccination could become attractive alternatives.
conclusionScreening women aged 35-64 with VIA and vaccinating girls aged 9-14 with the bivalent HPV vaccine is currently the most suitable cervical cancer prevention strategy for China. In scenarios with larger budgets, more accurate screening methods and the 9-valent HPV vaccine could be introduced. Our study provides crucial evidence for cervical cancer prevention and control policy in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.