Evidence map›Paper›PMID 39390108›Full record

Observational studyScientific reports2024

Signal detection of immune thrombocytopenia associated with immune checkpoint inhibitors.

Diwei Mo, Xia Yang, Guifeng Xu, Xiaoyue Zhang, Keng Wang, Luwen Lei, Xingxi Pan

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Uncovering prognostic biomarkers through a pharmacovigilance study: the case of RDW.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  5. 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

7 authors.

Diwei MoDepartment of Pharmacy, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China.
Xia YangSchool of Medicine, South China University of Technology, Guangzhou, 511442, Guangdong, People's Republic of China.
Guifeng XuDepartment of Pharmacy, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China.
Xiaoyue ZhangDepartment of Pharmacy, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China.
Keng WangDepartment of Pharmacy, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China.
Luwen LeiDepartment of Pharmacy, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China.
Xingxi PanDepartment of Oncology, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528200, Guangdong, People's Republic of China. lypanxx@scut.edu.cn.

Funding

Wu Jieping Medical Foundation 320.6750.2023-6-27
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have become an important treatment modality for various malignancies. Due to excessive inflammatory and immune responses, immune-related adverse events (irAEs), such as rash, pruritis, pneumonitis, hepatitis, hypothyroidism, hyperthyroidism and fatigue, can occur. Acquired immune thrombocytopenia is a rare irAE that can lead to severe low platelet counts and hemorrhage. A retrospective observational analysis was conducted on data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS). We searched for all reports recorded in the FAERS covering the period from 2011 Q1 to 2023 Q4 for target agents. Signal analysis was performed using the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithm. Nonparametric tests were used to compare the time to onset of thrombocytopenia-associated fractures between different regimens. There were 404 reports of immune thrombocytopenia in the FAERS database. Immune thrombocytopenia was associated with all ICIs except tremelimumab, and signals were detected by all 4 methods. The median time to the onset of immune thrombocytopenia caused by PD-1, PD-L1 and CTLA-4 inhibitors was 47 days (range: 21-139.2), 21 days (range: 13-131) and 9 days (range: 7-27), respectively. The Weibull shape parameter test revealed that pembrolizumab-, durvalumab-, and ipilimumab-induced thrombocytopenia had a random failure-type profile, and nivolumab- and atezolizumab-induced thrombocytopenia were characterized by an early failure-type profile. There was a significant reporting signal of ICI-induced thrombocytopenia associated with most ICIs. Immune thrombocytopenia has a greater incidence in males, elderly individuals and Asian populations, and PD-1 inhibitors were the most common cause. Clinicians should be aware of the signs of potential serious adverse events.

Indexed as

Immune Checkpoint InhibitorsPurpura, Thrombocytopenic, IdiopathicAdultAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overBayes TheoremCTLA-4 AntigenFemaleHumansMaleMiddle AgedNeoplasmsProgrammed Cell Death 1 ReceptorRetrospective StudiesUnited StatesCTLA-4 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorAcquired immune thrombocytopeniaFAERSImmune checkpoint inhibitorsPharmacovigilance

Identifiers

PMID39390108
PMCPMC11467222

What OpenQuestion holds

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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.