title: The direct and indirect impact of comorbidity on the survival of patients with non-small cell lung cancer: a combination of survival, staging and resection models with missing measurements in covariates.
abstract: OBJECTIVE
  To examine the direct and indirect impact of comorbidity on the survival.
  
  
  METHODS
  A historical cohort study.
  
  
  METHODS
  Denmark.
  
  
  METHODS
  All patients with non-small cell lung cancer who were registered in the Danish Lung Cancer Registry in 2010.
  
  
  METHODS
  The influence of comorbidity on stage misclassification, probability of resection and survival.
  
  
  RESULTS
  It was estimated that the comorbidity influences the probability of resection with OR 0.65 and 95% credible interval (0.54; 0.79), the staging process with OR 1.08 and 95% credible interval (0.96; 1.20), and the survival process with HR 1.08 and 95% credible interval (1.02; 1.14).
  
  
  CONCLUSIONS
  We found that comorbidity has a significant indirect effect on survival mediated by the resection process and a slightly direct effect on mortality.
authors: Center for Clinical Epidemiology, Odense University Hospital and Research Unit of Clinical Epidemiology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
authors: Maria
authors: M
authors: Iachina
authors: Anders
authors: A
authors: Green
authors: Erik
authors: E
authors: Jakobsen
mesh_terms: D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000401:mortality* / Q000473:pathology / Q000601:surgery*; D015897:Comorbidity; D003718:Denmark; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality* / Q000473:pathology / Q000601:surgery*; D008297:Male; D015233:Models, Statistical; D009367:Neoplasm Staging; D011379:Prognosis; D012042:Registries; D012307:Risk Factors; D016019:Survival Analysis
keywords: STATISTICS & RESEARCH METHODS