Evidence map›Paper›PMID 41701417›Full record

ArticleCardiovascular toxicology2026

Cardiovascular Risk and Prediction Model of Vascular Endothelial Growth Factor Tyrosine Kinase Inhibitors in Patients with Liver Cancer.

Yen-Chou Chen, Chun-Yao Huang, Li-Ming Lien, Jin-Hua Chen, Bagas Suryo Bintoro, Fang-I Hsieh

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Article in Cardiovascular toxicology, 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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5 · Who and what money

Authors and funding

6 authors.

Yen-Chou ChenDivision of Cardiology and Cardiovascular Research Centre, Taipei Medical University Hospital, Taipei, Taiwan.
Chun-Yao HuangDivision of Cardiology and Cardiovascular Research Centre, Taipei Medical University Hospital, Taipei, Taiwan.
Li-Ming LienSchool of Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan.
Jin-Hua ChenGraduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan.
Bagas Suryo BintoroDepartment of Health Behaviour, Environment, and Social Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Fang-I HsiehSchool of Public Health, College of Public Health, Taipei Medical University, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City, 235, Taiwan. hsiehfangi@tmu.edu.tw.

Funding

Taipei Medical University Hospital 112TMUH-NE-06Wan Fang Hospital 110wf-phd-01
6 · The paper itself

Abstract

Major adverse cardiovascular events (MACE) in patients with liver cancer receiving vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKI) remain uncertain. This retrospective cohort study aimed to evaluate the association between VEGF-TKIs and MACE and develop a risk prediction score. Using the Taiwan Cancer Registry linked with the Taiwan National Insurance Claim Database, 11,960 VEGF-TKI users were matched to 11,960 non-users by age and sex. Cause-specific hazard ratios (HRs) were estimated using multivariable Cox models with competing risk of non-cardiovascular death; propensity score (PS)-adjusted or PS-matched models were additionally conducted. During follow-up, the incidence of MACE was 49.5 versus 28.3 per 1,000 person-years in VEGF-TKI users and non-users. VEGF-TKI use was associated with increased MACE risk in multivariable analysis (adjusted HR 1.31; 95% CI 1.14-1.50); however, PS-adjusted and PS-matched models show non-significant associations. Because proportional hazards assumptions were violated, a 60-day landmark analysis was conducted, in which the increased risk was again significant across analytic approaches, including multivariable adjusted (HR 1.92; 95% CI 1.63-2.27), PS-adjusted (HR 1.35; 95% CI 1.00-1.82) and PS-matched models (HR 1.30; 95% CI 1.03-1.63). A point-based score was developed using a multivariable sub-distribution hazard model and assessed by a time-dependent c-index. The score demonstrated good discrimination with c-indices of 79.9% (3 months) and 74.2% (6 months). VEGF-TKIs were associated with increased risk of MACE among liver cancer patients. Landmark analyses indicated a persistently elevated risk among patients surviving beyond early treatment. A risk score based on prior cardiovascular history may help identify high-risk patients.

Indexed as

Angiogenesis InhibitorsCardiovascular DiseasesDecision Support TechniquesLiver NeoplasmsProtein Kinase InhibitorsVascular Endothelial Growth Factor AAgedCardiotoxicityDatabases, FactualFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPredictive Value of TestsAngiogenesis InhibitorsProtein Kinase InhibitorsVascular Endothelial Growth Factor AVEGFA protein, humanAngiogenesis inhibitorsCardiotoxicityCardiovascular systemLiver neoplasm

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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.