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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

OBJECTIVE: To examine the direct and indirect impact of comorbidity on the survival. DESIGN: A historical cohort study. SETTING: Denmark. PARTICIPANTS: All patients with non-small cell lung cancer who were registered in the Danish Lung Cancer Registry in 2010. MAIN OUTCOME MEASURES: The influence of...

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Detalles Bibliográficos
Autores principales: Iachina, Maria, Green, Anders, Jakobsen, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927932/
https://www.ncbi.nlm.nih.gov/pubmed/24523421
http://dx.doi.org/10.1136/bmjopen-2013-003846
Descripción
Sumario:OBJECTIVE: To examine the direct and indirect impact of comorbidity on the survival. DESIGN: A historical cohort study. SETTING: Denmark. PARTICIPANTS: All patients with non-small cell lung cancer who were registered in the Danish Lung Cancer Registry in 2010. MAIN OUTCOME MEASURES: 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.