Evidence map›Paper›PMID 39923068›Full record

ArticleBMC women's health2025

Modeling optimal combination of breast and cervical cancer screening strategies in China.

Xuewei Liu, Yanbo Wang, Bei Gao, Xinlin Lu, Yuan Wang, Wenli Lu

Abstract read
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Xuewei LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China.
Yanbo WangDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China.
Bei GaoDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China.
Xinlin LuDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China.
Yuan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China.
Wenli LuDepartment of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, No.22, Qixiangtai Road, Tianjin, 300070, China. luwenli@tmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast and cervical cancers are the commonest cancers among women. Secondary prevention of cancer through screening minimizes disease burden and improves survival outcomes. Optimizing screening strategies for breast and cervical cancers is a challenge in resource-limited settings with a high population density such as China. Therefore, we aimed at assessing the efficiency of different combined screening strategies for breast and cervical cancers under different budgets in China.

methodsMarkov cohort model was used to evaluate the cost-effectiveness of 36 strategy combinations for breast and cervical cancer screening with varying screening modality and intervals. The results were used as inputs in the Integer Programming (IP) model to determine the combination of the different screening options under different budgets.

resultsThe optimal combination strategy was biennial breast ultrasonography (BUS) and mammography (MAM) in parallel screening and quinquennial human papillomavirus (HPV) for breast and cervical cancer screening under the threshold of the annual per capita social cost investment (PCSCI) (18.80 USD) in China. Using this strategy, the total investment cost for 100,000 females was 1,877,984.50 USD, and the incremental life-years compared with no screening was 3,122 life-years. The optimal combination strategy included annual clinical breast examination (CBE), BUS and MAM in series screening, and biennial thin-layer liquid-based cytology (TCT) and HPV in series screening with the annual PCSCI reaching 37.60 USD. Thereafter, as the cost input continued to increase, the optimal combination strategy remained unchanged, and the sum of incremental life-years and actual input costs did not increase.

conclusionsFrom a social cost-benefit perspective, biennial BUS and MAM in parallel screening, and quinquennial HPV screening is the most efficient combination strategy with limited budget, while annual CBE, BUS and MAM in series screening and biennial TCT and HPV in series screening are the most efficient combination strategy with sufficient budget.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningUterine Cervical NeoplasmsAdultAgedChinaCost-Benefit AnalysisFemaleHumansMarkov ChainsMiddle AgedPapillomavirus InfectionsUltrasonography, MammaryBreast cancerCervical cancerCost-effectiveInteger programming modelMarkov modelScreening strategies

Identifiers

PMID39923068
PMCPMC11807319

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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.