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Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis

BACKGROUND: This study aimed to analyze data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients with colorectal cancer (CRC) who had specific insurance details and the effects of stage at diagnosis, definitive treatment, and survival outcome with insurance statu...

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Autores principales: Sun, Wei, Cheng, Minghua, Zhuang, Shaohui, Qiu, Zeting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457135/
https://www.ncbi.nlm.nih.gov/pubmed/30939127
http://dx.doi.org/10.12659/MSM.913282
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author Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Qiu, Zeting
author_facet Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Qiu, Zeting
author_sort Sun, Wei
collection PubMed
description BACKGROUND: This study aimed to analyze data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients with colorectal cancer (CRC) who had specific insurance details and the effects of stage at diagnosis, definitive treatment, and survival outcome with insurance status. MATERIAL/METHODS: Between 2007 and 2009, SEER database analysis identified 54,232 patients with CRC. Logistic models examined the associations between insurance status and disease stage and definitive treatment. Kaplan-Meier analysis, the Cox model, and the Fine and Gray model were used to compare the tumor cause-specific survival (TCSS) for patients with different insurance status. RESULTS: Insured patients were more likely to have earlier tumor stage at diagnosis when compared with patients receiving Medicaid (adjusted OR, 1.318; 95% CI, 1.249–1.391; P<0.001) and when compared with uninsured patients (adjusted OR, 1.479; 95% CI, 1.352–1.618; P<0.001). Insured patients were significantly more likely to undergo definitive treatment when compared with patients receiving Medicaid (adjusted OR, 0.591; 95% CI, 0.470–0.742; P<0.001) and compared with patients who were uninsured (adjusted OR, 0.404; 95% CI, 0.282–0.579; P<0.001). Insured patients had a significantly increased TCSS when compared with patients receiving Medicaid (HR, 1.298; 95% CI, 1.236–1.363; P<0.001) and compared with patients who were uninsured (HR 1.195, 95% CI, 1.100–1.297; P<0.001). CONCLUSIONS: Insurance status was a significant factor that determined early diagnosis, definitive treatment, and clinical outcome and was an independent factor for TCSS in patients with CRC.
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spelling pubmed-64571352019-04-24 Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis Sun, Wei Cheng, Minghua Zhuang, Shaohui Qiu, Zeting Med Sci Monit Clinical Research BACKGROUND: This study aimed to analyze data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients with colorectal cancer (CRC) who had specific insurance details and the effects of stage at diagnosis, definitive treatment, and survival outcome with insurance status. MATERIAL/METHODS: Between 2007 and 2009, SEER database analysis identified 54,232 patients with CRC. Logistic models examined the associations between insurance status and disease stage and definitive treatment. Kaplan-Meier analysis, the Cox model, and the Fine and Gray model were used to compare the tumor cause-specific survival (TCSS) for patients with different insurance status. RESULTS: Insured patients were more likely to have earlier tumor stage at diagnosis when compared with patients receiving Medicaid (adjusted OR, 1.318; 95% CI, 1.249–1.391; P<0.001) and when compared with uninsured patients (adjusted OR, 1.479; 95% CI, 1.352–1.618; P<0.001). Insured patients were significantly more likely to undergo definitive treatment when compared with patients receiving Medicaid (adjusted OR, 0.591; 95% CI, 0.470–0.742; P<0.001) and compared with patients who were uninsured (adjusted OR, 0.404; 95% CI, 0.282–0.579; P<0.001). Insured patients had a significantly increased TCSS when compared with patients receiving Medicaid (HR, 1.298; 95% CI, 1.236–1.363; P<0.001) and compared with patients who were uninsured (HR 1.195, 95% CI, 1.100–1.297; P<0.001). CONCLUSIONS: Insurance status was a significant factor that determined early diagnosis, definitive treatment, and clinical outcome and was an independent factor for TCSS in patients with CRC. International Scientific Literature, Inc. 2019-04-02 /pmc/articles/PMC6457135/ /pubmed/30939127 http://dx.doi.org/10.12659/MSM.913282 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Sun, Wei
Cheng, Minghua
Zhuang, Shaohui
Qiu, Zeting
Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title_full Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title_fullStr Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title_full_unstemmed Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title_short Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis
title_sort impact of insurance status on stage, treatment, and survival in patients with colorectal cancer: a population-based analysis
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457135/
https://www.ncbi.nlm.nih.gov/pubmed/30939127
http://dx.doi.org/10.12659/MSM.913282
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AT zhuangshaohui impactofinsurancestatusonstagetreatmentandsurvivalinpatientswithcolorectalcancerapopulationbasedanalysis
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