Evidence map›Paper›PMID 42148135›Full record

ArticleFrontiers in immunology2026

Comprehensive safety analysis of the clinical spectrum of adverse events associated with immune checkpoint inhibitors based on FAERS.

Caihong Qu, Xiaoying Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Caihong Qu *Office of Pharmacovigilance, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiaoying Wang *Information Center, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The toxicities associated with immune checkpoint inhibitors (ICIs) can affect nearly all organ systems. Although previous studies have examined specific types of immune-related adverse events (irAEs) associated with ICIs, comprehensive evaluations of the clinical profiles of irAEs using data from the FDA Adverse Event Reporting System database over an extended period have been lacking. Methods: Duplicate records and reports submitted by nonprofessionals were removed for data cleaning. Employing three disproportional statistical methods (Reporting Odds Ratio, Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinker) with MedDRA version 27.1 classification, we identified and ranked adverse event signals across System Organ Class (SOC), Standardized MedDRA Query (SMQ), and Preferred Term (PT). Results: A total of 320,556 adverse event reports associated with eight ICIs, involving 123,210 patients, were included in the analysis. At the SOC level, endocrine disorders and hepatobiliary disorders exhibited the strongest signals, while cardiac and respiratory toxicities showed the highest mortality risks across vital organ systems. At the SMQ level, the most prominent signals included noninfectious encephalitis, hypothyroidism, noninfectious myocarditis/pericarditis, eosinophilic pneumonia, and interstitial lung disease. At the PT level, the leading signals were immune-mediated lung disease, immune-mediated enterocolitis, immune-mediated hepatitis, (immune-mediated) myocarditis, hypophysitis, and adrenal insufficiency. Conclusions: This pharmacovigilance study provides a systematic analysis of the clinical spectrum and reporting characteristics of ICI-related irAEs, comparing relative risks across vital organ systems and laying the foundation for interdisciplinary collaboration among oncologists and relevant specialists.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsImmune Checkpoint InhibitorsNeoplasmsDatabases, FactualFemaleHumansMalePharmacovigilanceUnited StatesImmune Checkpoint Inhibitorsclinical spectrum of toxicitydisproportional analysisimmune checkpoint inhibitorsimmune-related adverse eventspharmacovigilance

Identifiers

PMID42148135
PMCPMC13175965

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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.