Evidence map›Paper›PMID 40929961›Full record

ArticleBreast (Edinburgh, Scotland)2025

Cost-effectiveness of genetic risk-stratified screening for breast cancer in Taiwan.

Yu-Chen Hou, Fang-Ju Lin, Yu-Hsuan Joni Shao

Abstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Yu-Chen HouGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan. Electronic address: d610109002@tmu.edu.tw.
Fang-Ju LinGraduate Institute of Clinical Pharmacy & School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: fjilin@ntu.edu.tw.
Yu-Hsuan Joni ShaoGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address: jonishao@tmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk-stratified breast screening has gained international attention, as individualized risk assessments can inform screening initiation, frequency, and whether to screen. In this study, we evaluated the cost-effectiveness of risk-stratified screening based on genetic testing for breast cancer-associated single nucleotide polymorphisms (SNPs) compared to the current age-based screening program in Taiwan.

methodsA Markov model was used to estimate lifetime health outcomes and costs for 35-year-old Taiwanese women without a family history of breast cancer. The model adopted the healthcare payer's perspective, applied a 3 % annual discount rate, and utilized epidemiological and cost data primarily derived from Taiwanese sources whenever possible. Scenario analyses included various percentile thresholds used to define polygenic risk groups in the risk-stratified screening strategy. Within this strategy, no screening was modeled for women in the low-risk group, while those in the intermediate- and high-risk groups were offered standard biennial mammography, beginning at ages 40 and 35, respectively, and continuing until 69.

resultsCompared to the current age-based mammogram-only screening, polygenic risk scores (PRS)-informed risk-stratified breast cancer screening generated additional costs and quality-adjusted life years (QALYs), with an incremental cost-effectiveness ratio (ICER) of US$75.71/QALY. Scenario analyses using different PRS cutoffs consistently yielded ICERs well below one time Taiwan's gross domestic product per capita per QALY, suggesting cost-effectiveness of genetic risk-stratified screening.

conclusionIncorporating polygenic risk into the current breast cancer screening program may improve health outcomes at an acceptable cost. These findings support implementing risk-stratified screening in future policy.

Indexed as

Breast NeoplasmsCost-Benefit AnalysisEarly Detection of CancerGenetic TestingMammographyMass ScreeningAdultAgedFemaleGenetic Predisposition to DiseaseHumansMarkov ChainsMiddle AgedPolymorphism, Single NucleotideQuality-Adjusted Life YearsRisk AssessmentBreast cancerCost-effectivenessMarkov modelPRSRisk-stratified screeningTaiwan

Identifiers

PMID40929961
PMCPMC12455064

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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.