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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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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 |
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author | Iachina, Maria Green, Anders Jakobsen, Erik |
author_facet | Iachina, Maria Green, Anders Jakobsen, Erik |
author_sort | Iachina, Maria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3927932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39279322014-02-19 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 Iachina, Maria Green, Anders Jakobsen, Erik BMJ Open Research Methods 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. BMJ Publishing Group 2014-02-12 /pmc/articles/PMC3927932/ /pubmed/24523421 http://dx.doi.org/10.1136/bmjopen-2013-003846 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Research Methods Iachina, Maria Green, Anders Jakobsen, Erik 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 |
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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Research Methods |
url | 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 |
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