Evidence map›Paper›PMID 40371149›Full record

ArticleAmerican journal of cancer research2025

Association between immune checkpoint inhibitors and cardiovascular risks: a nationwide self-controlled case series study.

Wei-Ting Chang, Hui-Wen Lin, Chin-Hsiu Liu, Sheng-Hsiang Lin, Yi-Heng Li

Abstract read
In one paragraph

Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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. Review
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

5 authors.

Wei-Ting ChangSchool of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University Kaohsiung 80424, Taiwan.
Hui-Wen LinDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University Tainan 704, Taiwan.
Chin-Hsiu LiuSchool of Medicine, College of Medicine, National Sun Yat-sen University Kaohsiung 804, Taiwan.
Sheng-Hsiang LinBiostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University Tainan 701, Taiwan.
Yi-Heng LiDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University Tainan 704, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) are widely used for cancer treatment but are linked to potential cardiotoxicity. The time-dependent effects of ICIs on cardiovascular outcomes remain unclear. This study explores associations between ICI use and cardiovascular events. This self-controlled case series (SCCS) analyzed cancer patients who received ICIs from January 2019 to December 2020 using the National Health Insurance Research Database (NHIRD). Exposure periods were defined as the duration of ICI prescriptions plus 90 days. Poisson regression estimated incidence rate ratios (IRRs) for heart failure (primary outcome) and arterial events or perimyocarditis (secondary outcomes) during and after ICI exposure compared to baseline. Among 1,146 ICI users, 15 developed heart failure, 33 experienced arterial events, and 11 had perimyocarditis. Cardiovascular events were uncommon but showed elevated risks for heart failure (IRR: 7.73; CI: 2.05-29.14, P<0.01) and perimyocarditis (IRR: 8.25; CI: 1.60-42.50, P = 0.01) within 30 days of ICI exposure. Subgroup analysis identified higher risks in patients aged ≥65, males, and those with diabetes, hypertension, or hyperlipidemia. Furthermore, when focusing on patients who received more than two doses of ICIs or exclusively anti-PD-1 inhibitors, we observed a similarly increased risk of HF within 30 days post-exposure. Collectively, ICI exposure significantly elevates the risk of heart failure and perimyocarditis within 30 days, particularly in older adults and those with preexisting cardiovascular risk factors.

Indexed as

heart failureImmune checkpoint inhibitorsperimyocarditisself-controlled case series

Identifiers

PMID40371149
PMCPMC12070085

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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.