SynthesisFrontiers in immunology2022
Adverse events of immune checkpoint inhibitors for patients with digestive system cancers: A systematic review and meta-analysis.
Synthesis in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Efficacy and safety of neoadjuvant systemic therapy in resectable hepatocellular carcinoma: a Systematic Review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Neoadjuvant Immune Checkpoint Inhibitors in hepatocellular carcinoma: a meta-analysis and systematic review.Frontiers in immunology · 2024Pooled it
- Immune checkpoint inhibitors related respiratory disorders in patients with lung cancer: A meta-analysis of randomized controlled trials.Frontiers in immunology · 2023Pooled it
- Neoantigen cancer vaccines for gastrointestinal tumors: opportunities and challenges.MedScience · 2026Review
- Eastern Canadian Gastrointestinal Cancer Consensus Conference 2025.Current oncology (Toronto, Ont.) · 2026Article
- Efficacy and safety of immunotherapy rechallenge in second-line treatment after failure of first-line immune checkpoint inhibitors combined with chemotherapy in advanced gastric cancer: a retrospective study.Frontiers in immunology · 2025Article
- Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To study the incidence and distribution of adverse events in immune checkpoint inhibitors (ICI) for digestive system cancers and to provide a reference for the safe, rational, and effective use of immune detection site inhibitors. Methods: We searched for articles published in English between January 1, 2010, and May 18, 2022. All clinical trials of ICI-based therapies for digestive system cancers were investigated, including only randomized controlled trials that reported data on the overall incidence of treatment-related adverse events (trAEs) or immune-related adverse reactions (irAEs) or tables. Results: We searched 2048 records, of which 21 studies (7108 patients) were eligible for inclusion. The incidence of ICI trAEs of any grade was 82.7% (95% CI 73.9-90.0), and the incidence of grade 3 or higher trAEs was 27.5% (95% CI 21.3-34.1). The pooled rate of ICI irAEs of any grade was 26.3% (95% CI 11.8-44.0), and the incidence of grade 3 or higher irAEs was 9.4% (95% CI 1.1-24.6). In multivariate analysis, the incidence, characteristics, and distribution of AEs varied by cancer type, combination therapy modality (single/two-drug), and different agent types. Conclusion: Our meta-analysis summarizes AEs associated with ICI in digestive system cancers. The incidence, characteristics, and distribution of AEs vary by cancer type, combination therapy modality, and different agent types. These findings can be considered for the early identification of AEs and provide effective interventions to reduce the severity of these patients. It can provide a clinical reference and may contribute to clinical practice.
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Registered trials
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.