Evidence map›Paper›PMID 41219380›Full record

ArticleNPJ precision oncology2025

A real-world cohort study of immune-related adverse events in patients receiving immune checkpoint inhibitors.

Yanfei Wang, Yi Guo, Aik Choon Tan, Lili Zhao, Xu Shi, Yong Chen, Ramon C Sun, Mei Liu, Jing Su, Thomas J George and 2 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Programmed Cell Death Protein 1-Interleukin-2 Bispecific Agents for Cancer Therapy.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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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

12 authors.

Yanfei WangDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Aik Choon TanDepartment of Oncological Science, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Lili ZhaoDepartment of Preventive Medicine (Biostatistics Division), Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Xu ShiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Yong ChenThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Ramon C SunDepartment of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA.
Mei LiuDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Thomas J GeorgeDivision of Hematology & Oncology, University of Florida & UF Health Cancer Center, Gainesville, FL, USA.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA. bianjiang@ufl.edu.
Qianqian SongDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA. qsong1@ufl.edu.

Funding

Multi-modal insights of spatially distributed cells with associations of diseases and drug responseR35GM151089 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Qianqian Song · 2023 to 2026
$1.2M
National Institute of General Medical Sciences of the National Institutes of Health R35GM151089NIGMS NIH HHS R35 GM151089
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have transformed cancer care but are frequently associated with immune-related adverse events (irAEs), complicating treatment. This retrospective cohort study analyzed 9193 adult patients from the OneFlorida+ Clinical Research Network who received ICIs between 2018 and 2022, aiming to identify risk factors for irAEs and evaluate their incidence, severity, and clinical impact. Among the 6,526 patients included in the final analysis, 56.2% developed irAEs within 1 year, including 284 hospitalized cases. Multivariable logistic regression revealed that younger age (18-29), female sex, and comorbidities such as myocardial infarction, heart failure, and renal disease increased irAE risk, while dementia and recent chemotherapy were associated with lower risk. Patients receiving CTLA-4 + PD(L)1 combination therapy had a 35% higher risk of irAEs than those treated with PD-1 inhibitors alone. Breast and hematologic cancers conferred elevated risk, whereas brain cancer was linked to reduced risk. Kaplan-Meier and cumulative incidence analyses demonstrated that irAE severity significantly impacted time to onset (P = 0.038), and overall survival was worse in patients who developed irAEs (P < 0.0001). Treatment regimen influenced irAE-free survival in multi-site cancers and overall survival in kidney cancer, highlighting the need for tailored irAE risk stratification.

Identifiers

PMID41219380
PMCPMC12606222

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Registered trials

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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.