ArticleTechnology in cancer research & treatment
The Predictive Model Construction for Immune-Related Adverse Events in Non-Small Cell Lung Cancer Patients Receiving Immunotherapy.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Diagnostic research in immune checkpoint inhibitor-related pneumonitis: a bibliometric analysis of research evolution, diagnostic focuses, and future priorities.Frontiers in oncology · 2026Pooled it
- Peripheral blood cell counts as predictors of immune-related adverse events in cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- A narrative review of immune checkpoint inhibitor-related cardiotoxicity in lung cancer: mechanisms, risk stratification, and clinical management.Journal of thoracic disease · 2026Review
- Association of basal thyroid function with clinical outcomes in patients with recurrent or metastatic nasopharyngeal carcinoma treated with PD-L1 inhibitor KL-A167: a multicenter post hoc analysis.Endocrine connections · 2026Article
- Development and validation of a multidimensional machine-learning model to predict clinically significant immune-related adverse events in advanced non-small cell lung cancer.American journal of translational research · 2026Article
- Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation.Frontiers in oncology · 2026Article
- [Recent Advances in Peripheral Immunoscore in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Prognostic significance of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in second-line immunotherapy for patients with non-small cell lung cancer.Translational lung cancer research · 2025Article
- Gut Microbiota-Tumor Microenvironment Interactions: Mechanisms and Clinical Implications for Immune Checkpoint Inhibitor Efficacy in Cancer.Cancer management and research · 2025Review
- Hematological parameters as predictors of immune-related adverse events: risk factor analysis in non-small cell lung cancer patients undergoing immunotherapy.American journal of translational research · 2025Article
- Characterising immune-related adverse events in different types of cancer among Chinese patients receiving immune checkpoint inhibitors.Scientific reports · 2024Article
- Nomograms based on ratio indexes to predict severity and prognosis in immune checkpoint inhibitors-related myocarditis: a retrospective analysis.Journal of cancer research and clinical oncology · 2024Article
- Non-Invasive Predictive Biomarkers for Immune-Related Adverse Events Due to Immune Checkpoint Inhibitors.Cancers · 2024Review
- Clinical biomarkers for thyroid immune-related adverse events in patients with stage III and IV gastrointestinal tumors.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIt is possible to predict immune-related adverse events (irAEs) in the treatment of immune checkpoint inhibitors (ICIs) based on clinical and hematological parameters. Nevertheless, the specific parameters which can predict irAEs are still in the exploration. The purpose of this retrospective study was to develop a predictive model for irAEs in non-small cell lung cancer (NSCLC) patients in the treatment of ICIs.
methodsResearchers enrolled NSCLC patients treated with at least 1 type of ICIs at Harbin Medical University Cancer Hospital between January 30, 2019 and December 31, 2021. Baseline parameters including demographic, clinicopathology, treatment information, and peripheral blood markers were selected retrospectively. Type, onset time, grade, and treatment of irAEs were also assessed. By analyzing the risk factors for irAEs, an irAEs prediction model was established using univariate and multivariate logistic regression.
resultsIn a total of 484 patients, 81 patients experienced 112 irAEs in which thyroid dysfunction was the most common irAE (
conclusionOur study identified the risk factors related to irAEs occurrence and constructed and assessed the predictive model of irAEs in patients with NSCLC treated by ICIs using clinical and hematological parameters, thus guiding clinicians to select precisely the population receiving immunotherapy and develop individualized treatment therapy.
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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.