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Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan

OBJECTIVES: This study aimed to determine if treatment delay after non-small cell lung cancer (NSCLC) diagnosis impacts patient survival rate. STUDY DESIGN: This study is a natural experiment in Taiwan. A retrospective cohort investigation was conducted from 2004 to 2010, which included 42 962 patie...

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Autores principales: Tsai, Chang-Hung, Kung, Pei-Tseng, Kuo, Wei-Yin, Tsai, Wen-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204926/
https://www.ncbi.nlm.nih.gov/pubmed/32327476
http://dx.doi.org/10.1136/bmjopen-2019-034351
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author Tsai, Chang-Hung
Kung, Pei-Tseng
Kuo, Wei-Yin
Tsai, Wen-Chen
author_facet Tsai, Chang-Hung
Kung, Pei-Tseng
Kuo, Wei-Yin
Tsai, Wen-Chen
author_sort Tsai, Chang-Hung
collection PubMed
description OBJECTIVES: This study aimed to determine if treatment delay after non-small cell lung cancer (NSCLC) diagnosis impacts patient survival rate. STUDY DESIGN: This study is a natural experiment in Taiwan. A retrospective cohort investigation was conducted from 2004 to 2010, which included 42 962 patients with newly diagnosed NSCLC. METHODS: We identified 42 962 patients with newly diagnosed NSCLC in the Taiwan Cancer Registry from 2004 to 2010. We calculated the time interval between diagnosis and treatment initiation. All patients were followed from the index date to death or the end of 2012. Cox proportional hazard models were used to examine the relationship between mortality and time interval. RESULTS: We included 42 962 patients (15 799 men and 27 163 women) with newly diagnosed NSCLC. The mortality rate exhibited a significantly positive correlation to time interval from cancer diagnosis to treatment initiation. The adjusted HRs ranged from 1.04 to 1.08 in all subgroups time interval more than 7 days compared with the counterpart subgroup of the interval from cancer diagnosis to treatment ≤7 days. The trend was also noted regardless of the patients with lung cancer in stage I, stage II and stage III. CONCLUSIONS: There is a major association between time to treat and mortality of patients with NSCLC, especially in stages I and II. We suggest that efforts should be made to minimise the interval from diagnosis to treatment while further study is ongoing to determine causation.
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spelling pubmed-72049262020-05-12 Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan Tsai, Chang-Hung Kung, Pei-Tseng Kuo, Wei-Yin Tsai, Wen-Chen BMJ Open Oncology OBJECTIVES: This study aimed to determine if treatment delay after non-small cell lung cancer (NSCLC) diagnosis impacts patient survival rate. STUDY DESIGN: This study is a natural experiment in Taiwan. A retrospective cohort investigation was conducted from 2004 to 2010, which included 42 962 patients with newly diagnosed NSCLC. METHODS: We identified 42 962 patients with newly diagnosed NSCLC in the Taiwan Cancer Registry from 2004 to 2010. We calculated the time interval between diagnosis and treatment initiation. All patients were followed from the index date to death or the end of 2012. Cox proportional hazard models were used to examine the relationship between mortality and time interval. RESULTS: We included 42 962 patients (15 799 men and 27 163 women) with newly diagnosed NSCLC. The mortality rate exhibited a significantly positive correlation to time interval from cancer diagnosis to treatment initiation. The adjusted HRs ranged from 1.04 to 1.08 in all subgroups time interval more than 7 days compared with the counterpart subgroup of the interval from cancer diagnosis to treatment ≤7 days. The trend was also noted regardless of the patients with lung cancer in stage I, stage II and stage III. CONCLUSIONS: There is a major association between time to treat and mortality of patients with NSCLC, especially in stages I and II. We suggest that efforts should be made to minimise the interval from diagnosis to treatment while further study is ongoing to determine causation. BMJ Publishing Group 2020-04-22 /pmc/articles/PMC7204926/ /pubmed/32327476 http://dx.doi.org/10.1136/bmjopen-2019-034351 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Oncology
Tsai, Chang-Hung
Kung, Pei-Tseng
Kuo, Wei-Yin
Tsai, Wen-Chen
Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title_full Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title_fullStr Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title_full_unstemmed Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title_short Effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in Taiwan
title_sort effect of time interval from diagnosis to treatment for non-small cell lung cancer on survival: a national cohort study in taiwan
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204926/
https://www.ncbi.nlm.nih.gov/pubmed/32327476
http://dx.doi.org/10.1136/bmjopen-2019-034351
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