Evidence map›Paper›PMID 41083798›Full record

ArticleScientific reports2025

A study on adverse drug events of PD-1/PD-L1 inhibitors in lung cancer treatment: a decade-long data mining.

Chenglin Jia, Yukai Lai, Zhuo Wang, Wei He, Xuan Huang, Xiaoyan Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

3 citing papers in PubMed.

  1. Review
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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

6 authors.

Chenglin Jia *Department of Medical Oncology, Cancer Center, and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Yukai Lai *New York University Shanghai, No.567 West Yangsi road, Shanghai, 200126, China.
Zhuo WangDepartment of Medical Oncology, Cancer Center, and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Wei HeDepartment of Medical Oncology, Cancer Center, and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Xuan HuangDepartment of Medical Oncology, Cancer Center, and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Xiaoyan YangDepartment of Medical Oncology, Cancer Center, and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China. yangxiaoyan@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PD-1/PD-L1 inhibitors provide new opportunities to reduce global burden of lung cancer. However, adverse drug events (ADEs) pose significant risks to patient health, warranting systematic attention. Data on ADEs associated with PD-1/PD-L1 inhibitors for lung cancer treatment were collected from FDA Adverse Event Reporting System (FAERS) database between January 2014 and June 2023. Logistic regression was used to explore potential factors related to death. Signal mining for ADEs was performed using reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) methods, which revealed toxicity characteristics of these inhibitors among different system organ classes (SOCs) in terms of the number of both ADEs and ADE signals, and the signal strength. Additionally, factors associated with the timing of the first ADE were analyzed using Mann-Whitney U or Kruskal-Wallis tests. A total of 36,387 reports were collected. It is indicated that patients aged 65 years above, male, with small-cell lung cancer, treated with PD-1 inhibitors, without chemotherapy combination, experiencing earlier first ADE occurrence, and with more ADEs were at higher risk of death. Signal mining revealed 175, 189, 74, and 123 ADE signals for nivolumab (N), pembrolizumab (P), durvalumab (D), and atezolizumab (A), respectively. For SOC characteristics, ADEs associated with N were most frequently distributed in 'General disorders and administration site conditions', with the highest signal strength in 'Endocrine disorders'. P had the highest ADE signal frequency and strength in 'Immune system disorders'. For D, the highest frequency of ADEs and ADE signals, and the highest signal strength were in 'Respiratory, thoracic, and mediastinal disorders'. Uniquely, A exhibited significant signal strength in 'Blood and lymphatic system disorders'. 'Blood and lymphatic system disorders' and 'Endocrine disorders' had the earliest and latest ADE onset respectively. Death outcome and chemotherapy combinations were associated with earlier onset. And significant timing differences existed among different inhibitors. Based on 36,387 reports, this study comprehensively reveals the characteristics of ADEs associated with PD-1/PD-L1 inhibitors, providing valuable reference for their future clinical practice.

Indexed as

B7-H1 AntigenDrug-Related Side Effects and Adverse ReactionsImmune Checkpoint InhibitorsLung NeoplasmsProgrammed Cell Death 1 ReceptorAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overAntibodies, Monoclonal, HumanizedBayes TheoremData MiningFemaleHumansMaleMiddle AgedAntibodies, Monoclonal, HumanizedB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorAdverse drug eventsFAERSImmune checkpoint inhibitorsLung cancerPD-1/PD-L1 inhibitors

Identifiers

PMID41083798
PMCPMC12518638

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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.