Evidence map›Paper›PMID 40598486›Full record

ArticleBMC medicine2025

Risk thresholds for soft versus hard cardiovascular disease outcome models for initiating statin therapy among Chinese adults: a cost-utility analysis.

Zhijia Sun, Haijun Zhang, Yinqi Ding, Canqing Yu, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du and 9 more

Abstract read
In one paragraph

Article in BMC 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Zhijia Sun *Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Haijun Zhang *Department of Health Policy and Management, School of Public Health, Peking University, Beijing, 100191, China.
Yinqi DingDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Yuanjie PangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Pei PeiCenter for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, 100191, China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Dan HuangRecord Department, Pengzhou Traditional Chinese Medical Hospital, Sichuan, 611930, China.
Xiaoming YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Maxim BarnardClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robert ClarkeClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. lvjun@bjmu.edu.cn.
China Kadoorie Biobank Collaborative Group

Funding

National Natural Science Foundation of China,China 82192904, 82192900, 82388102
6 · The paper itself

Abstract

backgroundCurrent guidelines for atherosclerotic cardiovascular disease (ASCVD) primary prevention mostly recommend risk scores that predict risk of non-fatal myocardial infarction, fatal ischemic heart disease (IHD), and fatal or non-fatal ischemic stroke (hard outcomes), ignoring the burden from other non-fatal IHD outcomes. We explored the optimal risk thresholds for statin initiation using non-laboratory-based soft and hard ASCVD outcome models and compared the cost-utility of such models in the Chinese population.

methodsWe constructed Markov cohort models to estimate the incidence of ASCVD events, costs, and quality-adjusted life years (QALYs) over a lifetime from a social perspective. The simulation cohort was constructed using data from the China Kadoorie Biobank (CKB). Input data included cost, utility, statin efficacy, and other parameters were derived from published literature. We used CKB-ASCVD models to predict 10-year risk and different risk thresholds to guide statin initiation. The incremental cost-effectiveness ratio (ICER) was estimated as cost per QALY gained. Sensitivity analyses were performed to explore the uncertainty in the models.

resultsThe optimal risk threshold was 18% for the soft ASCVD model and 10% for the hard ASCVD model, with ICERs of $7013.48/QALY and $6540.71/QALY, respectively. The optimal thresholds were robust in stratified analyses by region and sex, and one-way sensitivity analyses over a wide range of input parameters. Probabilistic sensitivity analyses showed that these optimal thresholds had around 70% chance of being cost-effective. When analyzed by age group, above optimal thresholds were cost-effective in adults aged 30-59 years but not in those aged 60-75 years. The threshold strategies based on soft ASCVD model were mostly cost-saving compared with those based on hard models to treat the same proportions of the population.

conclusionsThe risk threshold of 18% for soft ASCVD model and 10% for hard ASCVD model have acceptable cost-utility profiles in the Chinese population. The soft ASCVD model is more cost-effective than the hard model and should be used as a screening tool for ASCVD primary prevention.

Indexed as

AtherosclerosisCardiovascular DiseasesHydroxymethylglutaryl-CoA Reductase InhibitorsAdultAgedChinaCost-Benefit AnalysisEast Asian PeopleFemaleHumansMaleMarkov ChainsMiddle AgedQuality-Adjusted Life YearsRisk AssessmentHydroxymethylglutaryl-CoA Reductase InhibitorsCardiovascular diseaseChinaCost-utility analysisHydroxymethylglutaryl-CoA reductase inhibitorsPrimary prevention

Identifiers

PMID40598486
PMCPMC12211359

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Texttitle and abstract
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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.