biostudies-literatureGarcia-Pardo MNCI NIH HHS313-323https://www.ebi.ac.uk/biostudies/studies/S-EPMC10463560biostudies-literatureUnknown18(3)<h4>Introduction</h4>We explored the association of respiratory and cardiometabolic comorbidities with NSCLC overall survival (OS) and lung cancer-specific survival (LCSS), by stage, in a large, multicontinent NSCLC pooled data set.<h4>Methods</h4>On the basis of patients pooled from 11 International Lung Cancer Consortium studies with available respiratory and cardiometabolic comorbidity data, adjusted hazard ratios (aHRs) were estimated using Cox models for OS. LCSS was evaluated using competing risk Grey and Fine models and cumulative incidence functions. Logistic regression (adjusted OR [aOR]) was applied to assess factors associated with surgical resection.<h4>Results</h4>OS analyses used patients with NSCLC with respiratory health or cardiometabolic health data (N = 16,354); a subsetJournal of thoracic oncology : official publication of the International Association for the Study of Lung CancerRespiratory and Cardiometabolic Comorbidities and Stages I to III NSCLC Survival: A Pooled Analysis From the International Lung Cancer Consortium.PMC10463560UM1 CA167462U01 CA063673U01 CA167462U01 CA209414U19 CA203654Brennan PTardon ATindel HAZhang JDong MGarcia-Pardo MChristiani DReis RMShete SSChen CLeal LFSchmid SChang ARyan BMHung RJBrenner HAndrew AZaridze DBrown MCXu WSchabath MBFernandez-Tardon GLiu GfalseRespiratory and Cardiometabolic Comorbidities and Stages I to III NSCLC Survival: A Pooled Analysis From the International Lung Cancer Consortium.<h4>Introduction</h4>We explored the association of respiratory and cardiometabolic comorbidities with NSCLC overall survival (OS) and lung cancer-specific survival (LCSS), by stage, in a large, multicontinent NSCLC pooled data set.<h4>Methods</h4>On the basis of patients pooled from 11 International Lung Cancer Consortium studies with available respiratory and cardiometabolic comorbidity data, adjusted hazard ratios (aHRs) were estimated using Cox models for OS. LCSS was evaluated using competing risk Grey and Fine models and cumulative incidence functions. Logistic regression (adjusted OR [aOR]) was applied to assess factors associated with surgical resection.<h4>Results</h4>OS analyses used patients with NSCLC with respiratory health or cardiometabolic health data (N = 16,354); a subset2023-01-01T00:00:00Z2023 Mar2025-04-21T15:07:35.113Z2025-04-21T15:07:35.113ZS-EPMC104635603639606310.1016/j.jtho.2022.10.020