Evidence map›Paper›PMID 42098716›Full record

ArticleCost effectiveness and resource allocation : C/E2026

Cost-effectiveness of optical coherence tomography-guided percutaneous coronary intervention for patients with complex coronary artery lesions in China: a markov model-based study.

Xiaoying Jiang, Yujing Zhou, Yunsheng Chen, Tongyin Yan, Shuzhang Du, Haiqiang Sang

Abstract read
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Article in Cost effectiveness and resource allocation : C/E, 2026. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoying JiangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yujing ZhouDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yunsheng ChenDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tongyin YanDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shuzhang DuDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. dushuzhang911@163.com.
Haiqiang SangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. fccsanghq@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the cost-effectiveness of Optical Coherence Tomography (OCT)-guided versus coronary angiography-guided Percutaneous Coronary Intervention (PCI) within the Chinese healthcare system, exploring its economic value for patients with complex coronary artery lesions.

methodsA Markov model simulated a cohort of 10,000 patients aged 65 with coronary heart disease over a lifetime horizon (20 years). Adopting a healthcare system perspective, the study compared OCT-guided versus angiography-guided PCI strategies. Model parameters integrated 2-year follow-up data from the OCCUPI trial, clinical parameters from a meta-analysis of 6 RCTs, the Chinese National Reimbursement Drug List (2025), and health utility values for the Chinese population. A 5% discount rate was applied for the cost-utility analysis. The primary outcome was the Incremental Cost-Effectiveness Ratio (ICER).

resultsThis study compared the cost-effectiveness of OCT-guided versus angiography guided PCI over short-term (within-trial) and long-term (20 years) horizons. In the short term (1 year), the ICER for OCT versus angiography was substantially high at 2,154,501.65 CNY/QALY, indicating a lack of cost-effectiveness advantage. However, in the lifetime simulation, OCT demonstrated significant cost-effectiveness. When using transition probabilities from the OCCUPI trial, the ICER markedly decreased to 6,815.47 CNY/QALY, indicating strong cost-effectiveness. When using transition probabilities from the meta-analysis incorporating multiple studies, the ICER was 42,374.86 CNY/QALY, below the willingness-to-pay threshold of one times China's per capita GDP (99,665 CNY), also demonstrating cost-effectiveness. Subgroup analyses revealed that the economic advantage of OCT was more pronounced in patients with diabetes, unprotected left main disease, small vessel disease, and multivessel disease. Sensitivity analyses confirmed the robustness of these findings. The results indicate that OCT-guided PCI exhibits a typical "high initial investment, long-term significant benefit" profile, representing a cost-effective interventional strategy over a lifetime horizon.

conclusionWithin the Chinese healthcare system, OCT-guided PCI demonstrates favorable cost-effectiveness for patients with complex coronary artery lesions. Its higher initial costs are offset by long-term health gains, supporting its value for broader adoption.

Identifiers

PMID42098716
PMCPMC13202912

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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.