Cargando…

Impact of Socioeconomic Factors on Overall Survival in SCLC

OBJECTIVES: To determine how the incidence and demographics of SCLC have changed over time and to evaluate whether patient demographics, disease presentation, and treatment characteristics affect patient outcomes. METHODS: We identified patients with SCLC in the National Cancer Database from 2004 to...

Descripción completa

Detalles Bibliográficos
Autores principales: Roof, Logan, Wei, Wei, Tullio, Katherine, Pennell, Nathan A., Stevenson, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257417/
https://www.ncbi.nlm.nih.gov/pubmed/35815321
http://dx.doi.org/10.1016/j.jtocrr.2022.100360
_version_ 1784741341861773312
author Roof, Logan
Wei, Wei
Tullio, Katherine
Pennell, Nathan A.
Stevenson, James P.
author_facet Roof, Logan
Wei, Wei
Tullio, Katherine
Pennell, Nathan A.
Stevenson, James P.
author_sort Roof, Logan
collection PubMed
description OBJECTIVES: To determine how the incidence and demographics of SCLC have changed over time and to evaluate whether patient demographics, disease presentation, and treatment characteristics affect patient outcomes. METHODS: We identified patients with SCLC in the National Cancer Database from 2004 to 2016. Differences in demographics, disease, and treatment characteristics were assessed by year of diagnosis using chi-square test. The effect of age, race, insurance status, income, distance to treatment center, and education level on overall survival (OS) was evaluated by multivariable Cox proportional hazard model. RESULTS: Patients diagnosed after 2010 were significantly older, more frequently treated at academic centers, had more comorbidities, had government payer insurance, had more stage IV disease, and lived further from treatment centers. More females, African Americans, patients without high school diplomas, and those from rural areas were diagnosed after 2010. In patients diagnosed between 2004 and 2010, 5-year OS was 6.8% (95% confidence interval: 6.6–6.9), and after 2010, 5-year OS was 8.7% (95% confidence interval: 8.5–8.9), despite an increase in stage IV disease in the latter group. Older patients, males, Caucasians, patients with stage IV disease, those with government primary payer insurance, and those from rural areas had significantly worse OS. Patients without comorbidities and treated at academic centers had significantly better OS. OS significantly increased with community income and education level. CONCLUSIONS: Despite improvement in OS, disparities were noted in demographics which may complicate patient and provider access to health care resources, including rural communities, distance to academic centers, income, insurer, and education level. Efforts to affect these variables will improve outcomes for patients with SCLC.
format Online
Article
Text
id pubmed-9257417
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-92574172022-07-07 Impact of Socioeconomic Factors on Overall Survival in SCLC Roof, Logan Wei, Wei Tullio, Katherine Pennell, Nathan A. Stevenson, James P. JTO Clin Res Rep Original Article OBJECTIVES: To determine how the incidence and demographics of SCLC have changed over time and to evaluate whether patient demographics, disease presentation, and treatment characteristics affect patient outcomes. METHODS: We identified patients with SCLC in the National Cancer Database from 2004 to 2016. Differences in demographics, disease, and treatment characteristics were assessed by year of diagnosis using chi-square test. The effect of age, race, insurance status, income, distance to treatment center, and education level on overall survival (OS) was evaluated by multivariable Cox proportional hazard model. RESULTS: Patients diagnosed after 2010 were significantly older, more frequently treated at academic centers, had more comorbidities, had government payer insurance, had more stage IV disease, and lived further from treatment centers. More females, African Americans, patients without high school diplomas, and those from rural areas were diagnosed after 2010. In patients diagnosed between 2004 and 2010, 5-year OS was 6.8% (95% confidence interval: 6.6–6.9), and after 2010, 5-year OS was 8.7% (95% confidence interval: 8.5–8.9), despite an increase in stage IV disease in the latter group. Older patients, males, Caucasians, patients with stage IV disease, those with government primary payer insurance, and those from rural areas had significantly worse OS. Patients without comorbidities and treated at academic centers had significantly better OS. OS significantly increased with community income and education level. CONCLUSIONS: Despite improvement in OS, disparities were noted in demographics which may complicate patient and provider access to health care resources, including rural communities, distance to academic centers, income, insurer, and education level. Efforts to affect these variables will improve outcomes for patients with SCLC. Elsevier 2022-06-18 /pmc/articles/PMC9257417/ /pubmed/35815321 http://dx.doi.org/10.1016/j.jtocrr.2022.100360 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Roof, Logan
Wei, Wei
Tullio, Katherine
Pennell, Nathan A.
Stevenson, James P.
Impact of Socioeconomic Factors on Overall Survival in SCLC
title Impact of Socioeconomic Factors on Overall Survival in SCLC
title_full Impact of Socioeconomic Factors on Overall Survival in SCLC
title_fullStr Impact of Socioeconomic Factors on Overall Survival in SCLC
title_full_unstemmed Impact of Socioeconomic Factors on Overall Survival in SCLC
title_short Impact of Socioeconomic Factors on Overall Survival in SCLC
title_sort impact of socioeconomic factors on overall survival in sclc
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257417/
https://www.ncbi.nlm.nih.gov/pubmed/35815321
http://dx.doi.org/10.1016/j.jtocrr.2022.100360
work_keys_str_mv AT rooflogan impactofsocioeconomicfactorsonoverallsurvivalinsclc
AT weiwei impactofsocioeconomicfactorsonoverallsurvivalinsclc
AT tulliokatherine impactofsocioeconomicfactorsonoverallsurvivalinsclc
AT pennellnathana impactofsocioeconomicfactorsonoverallsurvivalinsclc
AT stevensonjamesp impactofsocioeconomicfactorsonoverallsurvivalinsclc