Evidence map›Paper›PMID 39539626›Full record

ArticleFrontiers in pharmacology2024

Immune-related adverse events in small-cell lung cancer patients treated with immune checkpoint inhibitors: a comprehensive analysis from the FDA adverse event reporting system.

Yifeng Bai, Xiaomei Wang, Xiaoqin Dai, Qinghua Ma, Honglin Hu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

5 authors.

Yifeng Bai *Department of Oncology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xiaomei Wang *Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.
Xiaoqin DaiChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.
Qinghua MaChinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.
Honglin HuDepartment of Oncology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The discovery and development of immune checkpoint inhibitors (ICIs) have resulted in their application as a novel therapeutic strategy for patients with small-cell lung cancer (SCLC). However, a comprehensive analysis of the potential adverse effects of ICIs in patients with SCLC remains to be conducted. Methods: Adverse event (ADE) reports relating to SCLC patients, submitted to the FDA Adverse Event Reporting System (FAERS) from the first quarter of 2013 to the second quarter of 2022, were extracted for analysis. The extracted data were subsequently screened and analyzed using the reporting odds ratio (ROR) method to assess the AE reports. Results: A total of 4,522 ADE reports were obtained from patients with SCLC who had received either chemotherapy alone or a combination of ICIs with chemotherapy. The ROR analysis identified a total of 91 immune-related adverse events in SCLC patients associated with the ICIs (SCLC-irAEs). Conclusion: This study revealed that the adverse effects resulting from irAEs in SCLC patients predominantly affected the hematologic and gastrointestinal systems, with the most severe cases potentially leading to fatality.

Indexed as

adverse (side) effectsFDA adverse event reporting system (FAERS)ICIsimmune check point inhibitorsirAEs (immune-related adverse events)SCLC

Identifiers

PMID39539626
PMCPMC11558040

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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.