Evidence map›Paper›PMID 41316057›Full record

ArticleBMC cancer2025

Hematological toxicity of immune checkpoint inhibitors: a pharmacovigilance study.

An-Ju Tan, Jun-Li Lu, Can-Xia Li, Wan-Ying Liu, Yu Yan, Can-Hong Wang, Dun-Chang Mo

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

7 authors.

An-Ju TanOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jun-Li LuOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Can-Xia LiOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wan-Ying LiuOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yu YanOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Can-Hong WangOffice of Drug Clinical Trials Institution, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Dun-Chang MoDepartment of Radiation Oncology, The Third Affiliated Hospital of Guangxi Medical University, Dan-Cun Road No.13, Nanning, Guangxi, China. 18878713362@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveImmune-related adverse events (irAEs) have limited the widespread clinical application of immune checkpoint inhibitors (ICIs). Hematological toxicities are rare but serious irAEs. This study comprehensively analyzes ICI-related hematological adverse events using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS).database.

methodsWe extracted ICI adverse events from the FAERS database between January 2004 and January 2025. Disproportionality analyses using four algorithms identified hematological signals. To eliminate the influence of combined medication, we separately conducted disproportionality analysis on all ICI reports and on reports of ICI monotherapy. Multivariable logistic regression was employed to assess the risk factors for hematological adverse events.

resultsOf all ICI reports in FAERS, 3.73% were for hematological adverse events. Among the 14 detected hematological signals, pure red cell aplasia, immune-mediated pancytopenia, acquired hemophilia, and Evans syndrome are rare and severe irAE. Among 6,259 cases of ICI-related hematological AEs, approximately 88.68% were reported by healthcare professionals, and fatal outcomes were reported in 16.49% of cases. The median onset time is 20 days.The median age of patients was 67 years (IQR: 58–73). Male was associated with a significantly lower risk of hematological toxicity compared to females (OR = 0.92, 95% CI: 0.90–0.96; P < 0.05). Patients aged ≥ 65 years also had a reduced risk compared to those < 65 years (65–74 years: OR = 0.64, 95% CI: 0.62–0.67; ≥75 years: OR = 0.75, 95% CI: 0.72–0.79; both P < 0.05 ). ICI combination with chemotherapy significantly increased the risk of hematological toxicity (OR = 3.56, 95% CI: 3.44–3.69; P < 0.05), while combination with targeted agents reduced the risk (OR = 0.73, 95% CI: 0.69–0.76; P < 0.05).

conclusionsTo our knowledge, this is among the first studies to utilize real-world big data for disproportionality analysis focused on ICI monotherapy, uncovering rare and severe hematological irAE. Multivariable logistic regression revealed that following ICI treatment, females are at a higher risk than males for hematological toxicities; likewise, ICI–chemotherapy increases the risk compared to ICI monotherapy. Clinicians should pay more attention to these rare irAEs and identify and treat them as early as possible, especially in patients with high-risk factors.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHematologic DiseasesImmune Checkpoint InhibitorsNeoplasmsAdverse Drug Reaction Reporting SystemsAgedDatabases, FactualFemaleHumansMaleMiddle AgedPharmacovigilanceRisk FactorsUnited StatesImmune Checkpoint InhibitorsFAERSHematological toxicitiesImmune checkpoint inhibitorPharmacovigilance

Identifiers

PMID41316057
PMCPMC12777351

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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.