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Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer

IMPORTANCE: Early detection by computed tomography and a more attention-oriented approach to incidentally identified pulmonary nodules in the last decade has led to population stage shift for non–small cell lung cancer (NSCLC). This stage shift could substantially confound the evaluation of newer th...

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Autores principales: Flores, Raja, Patel, Parth, Alpert, Naomi, Pyenson, Bruce, Taioli, Emanuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683966/
https://www.ncbi.nlm.nih.gov/pubmed/34919136
http://dx.doi.org/10.1001/jamanetworkopen.2021.37508
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author Flores, Raja
Patel, Parth
Alpert, Naomi
Pyenson, Bruce
Taioli, Emanuela
author_facet Flores, Raja
Patel, Parth
Alpert, Naomi
Pyenson, Bruce
Taioli, Emanuela
author_sort Flores, Raja
collection PubMed
description IMPORTANCE: Early detection by computed tomography and a more attention-oriented approach to incidentally identified pulmonary nodules in the last decade has led to population stage shift for non–small cell lung cancer (NSCLC). This stage shift could substantially confound the evaluation of newer therapeutics and mortality outcomes. OBJECTIVE: To investigate the association of stage shift with population mortality among patients with NSCLC. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was performed from October 2020 to June 2021 and used data from the Surveillance, Epidemiology, and End Results (SEER) registries to assess all patients from 2006 to 2016 with NSCLC. MAIN OUTCOMES AND MEASURES: Incidence-based mortality was evaluated by year-of-death. To assess shifts in diagnostic characteristics, clinical stage and histology distributions were examined by year using χ(2) tests. Trends were assessed using the average annual percentage change (AAPC), calculated with JoinPoint software. Kaplan-Meier survival analysis assessed overall survival according to stage and compared those missing any stage with those with a reported stage. RESULTS: The final sample contained 312 382 patients; 166 657 (53.4%) were male, 38 201 (12.2%) were Black, and 249 062 (79.7%) were White; the median (IQR) age was 68 (60-76) years; 163 086 (52.2%) had adenocarcinoma histology. Incidence-based mortality within 5 years of diagnosis decreased from 2006 to 2016 (AAPC, −3.7; 95% CI, −4.1 to −3.4). When assessing stage shift, there was significant association between year-of-diagnosis and clinical stage, with stage I/II diagnosis increasing from 26.5% to 31.2% (AAPC, 1.5; 95% CI, 0.5 to 2.5); and stage III/IV diagnosis decreasing significantly from 70.8% to 66.1% (AAPC, −0.6; 95% CI, −1.0 to −0.2). Missing staging information was not associated with year-of-diagnosis (AAPC, −1.6; 95% CI, −7.4 to 4.5). Year-of-diagnosis was significantly associated with tumor histology (χ(2) = 8990.0; P < .001). There was a significant increase in adenocarcinomas: 42.9% in 2006 to 59.0% in 2016 (AAPC, 3.4; 95% CI, 2.9 to 3.9). Median (IQR) survival for stage I/II was 57 months (18 months to not reached); stage III/IV was 7 (2-19) months; and missing stage was 10 (2-28) months. When compared with those with known stage, those without stage information had significantly worse survival than those with stage I/II, with survival between those with stage III and stage IV (log-rank χ(2) = 87 125.0; P < .001). CONCLUSIONS AND RELEVANCE: This cohort study found an association between decreased mortality and a corresponding diagnostic shift from later to earlier stage. These findings suggest that studies investigating the effect of treatment on lung cancer must take into account stage shift and the confounding association with survival and mortality outcome.
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spelling pubmed-86839662022-01-04 Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer Flores, Raja Patel, Parth Alpert, Naomi Pyenson, Bruce Taioli, Emanuela JAMA Netw Open Original Investigation IMPORTANCE: Early detection by computed tomography and a more attention-oriented approach to incidentally identified pulmonary nodules in the last decade has led to population stage shift for non–small cell lung cancer (NSCLC). This stage shift could substantially confound the evaluation of newer therapeutics and mortality outcomes. OBJECTIVE: To investigate the association of stage shift with population mortality among patients with NSCLC. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was performed from October 2020 to June 2021 and used data from the Surveillance, Epidemiology, and End Results (SEER) registries to assess all patients from 2006 to 2016 with NSCLC. MAIN OUTCOMES AND MEASURES: Incidence-based mortality was evaluated by year-of-death. To assess shifts in diagnostic characteristics, clinical stage and histology distributions were examined by year using χ(2) tests. Trends were assessed using the average annual percentage change (AAPC), calculated with JoinPoint software. Kaplan-Meier survival analysis assessed overall survival according to stage and compared those missing any stage with those with a reported stage. RESULTS: The final sample contained 312 382 patients; 166 657 (53.4%) were male, 38 201 (12.2%) were Black, and 249 062 (79.7%) were White; the median (IQR) age was 68 (60-76) years; 163 086 (52.2%) had adenocarcinoma histology. Incidence-based mortality within 5 years of diagnosis decreased from 2006 to 2016 (AAPC, −3.7; 95% CI, −4.1 to −3.4). When assessing stage shift, there was significant association between year-of-diagnosis and clinical stage, with stage I/II diagnosis increasing from 26.5% to 31.2% (AAPC, 1.5; 95% CI, 0.5 to 2.5); and stage III/IV diagnosis decreasing significantly from 70.8% to 66.1% (AAPC, −0.6; 95% CI, −1.0 to −0.2). Missing staging information was not associated with year-of-diagnosis (AAPC, −1.6; 95% CI, −7.4 to 4.5). Year-of-diagnosis was significantly associated with tumor histology (χ(2) = 8990.0; P < .001). There was a significant increase in adenocarcinomas: 42.9% in 2006 to 59.0% in 2016 (AAPC, 3.4; 95% CI, 2.9 to 3.9). Median (IQR) survival for stage I/II was 57 months (18 months to not reached); stage III/IV was 7 (2-19) months; and missing stage was 10 (2-28) months. When compared with those with known stage, those without stage information had significantly worse survival than those with stage I/II, with survival between those with stage III and stage IV (log-rank χ(2) = 87 125.0; P < .001). CONCLUSIONS AND RELEVANCE: This cohort study found an association between decreased mortality and a corresponding diagnostic shift from later to earlier stage. These findings suggest that studies investigating the effect of treatment on lung cancer must take into account stage shift and the confounding association with survival and mortality outcome. American Medical Association 2021-12-17 /pmc/articles/PMC8683966/ /pubmed/34919136 http://dx.doi.org/10.1001/jamanetworkopen.2021.37508 Text en Copyright 2021 Flores R et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Flores, Raja
Patel, Parth
Alpert, Naomi
Pyenson, Bruce
Taioli, Emanuela
Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title_full Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title_fullStr Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title_full_unstemmed Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title_short Association of Stage Shift and Population Mortality Among Patients With Non–Small Cell Lung Cancer
title_sort association of stage shift and population mortality among patients with non–small cell lung cancer
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683966/
https://www.ncbi.nlm.nih.gov/pubmed/34919136
http://dx.doi.org/10.1001/jamanetworkopen.2021.37508
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