Evidence map›Paper›PMID 41925086›Full record

ArticleCancer medicine2026

Immune-Related Adverse Events in Bladder Cancer Patients Treated With Immune Checkpoint Inhibitors: Insights From a FAERS Disproportionality Analysis.

Pooja Gokhale, Lorenzo Villa Zapata

Abstract read
In one paragraph

Article in Cancer medicine, 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

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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pooja GokhaleDepartment of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-7505-7007
Lorenzo Villa ZapataDepartment of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-3821-4595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmune checkpoint inhibitors (ICIs) are an important treatment option in bladder cancer, but clinical trials have demonstrated that they are associated with immune-related adverse events (irAEs), such as rash, hypothyroidism, hyperthyroidism, and others. This study aimed to evaluate real-world evidence of these irAEs using the FDA Adverse Event Reporting System (FAERS).

methodsWe analyzed FAERS data through December 2024 to identify irAEs associated with atezolizumab, pembrolizumab, avelumab, and nivolumab in patients with bladder cancer. A case/non-case pharmacovigilance analysis was conducted to assess the association between ICI monotherapy and specific irAEs, including rash, pruritus, hypothyroidism, hyperthyroidism, colitis, nephritis, myocarditis, pneumonitis, and myositis.

resultsA total of 365 unique irAE reports were identified. Significant safety signals were observed for hyperthyroidism with atezolizumab (PRR: 3.51 [95% CI: 1.07-11.45]; ROR: 3.53 [95% CI: 1.07-11.61]; IC: 1.10 [95% CI: 0.33-1.87]), rash with pembrolizumab (PRR: 2.11 [95% CI: 1.17-3.80]; ROR: 2.14 [95% CI: 1.18-3.90]; IC: 0.44 [95% CI: 0.17-0.71]), and myositis with avelumab (PRR: 5.30 [95% CI: 1.35-20.82]; ROR: 5.47 [95% CI: 1.34-22.29]; IC: 1.95 [95% CI: 0.65-3.25]). While not reaching the threshold for statistical significance, nephritis with atezolizumab did not meet predefined signal detection criteria and should only be considered as hypothesis-generating. A similar borderline pattern was observed for hypothyroidism with avelumab.

conclusionThe occurrence of irAEs varies by ICI agent among bladder cancer patients. These findings underscore the importance of post-marketing surveillance in identifying real-world safety signals. Proactive management and patient education are essential to mitigate irAEs and preserve quality of life.

Indexed as

Drug-Related Side Effects and Adverse ReactionsImmune Checkpoint InhibitorsUrinary Bladder NeoplasmsAdverse Drug Reaction Reporting SystemsAgedAntibodies, Monoclonal, HumanizedFemaleHumansMaleMiddle AgedNivolumabPharmacovigilanceUnited StatesAntibodies, Monoclonal, HumanizedatezolizumabavelumabImmune Checkpoint InhibitorsNivolumabbladder cancerdisproportionality analysisFDA adverse event reporting system (FAERS)immune checkpoint inhibitorsimmune‐related adverse events

Identifiers

PMID41925086
PMCPMC13045409

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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.