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Higher caseload improves cervical cancer survival in patients treated with brachytherapy
OBJECTIVES: Increased caseload has been associated with better patient outcomes in many areas of health care, including high-risk surgery and cancer treatment. However, such a positive volume vs. outcome relationship has not yet been validated for cervical cancer brachytherapy. The purpose of this s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4218989/ https://www.ncbi.nlm.nih.gov/pubmed/25344121 http://dx.doi.org/10.1186/s13014-014-0234-2 |
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author | Lee, Moon-Sing Tsai, Shiang-Jiun Lee, Ching-Chih Su, Yu-Chieh Chiou, Wen-Yen Lin, Hon-Yi Hung, Shih-Kai |
author_facet | Lee, Moon-Sing Tsai, Shiang-Jiun Lee, Ching-Chih Su, Yu-Chieh Chiou, Wen-Yen Lin, Hon-Yi Hung, Shih-Kai |
author_sort | Lee, Moon-Sing |
collection | PubMed |
description | OBJECTIVES: Increased caseload has been associated with better patient outcomes in many areas of health care, including high-risk surgery and cancer treatment. However, such a positive volume vs. outcome relationship has not yet been validated for cervical cancer brachytherapy. The purpose of this study was to examine the relationship between physician caseload and survival rates in cervical cancer treated with brachytherapy using population-based data. METHODS: Between 2005 and 2010, a total of 818 patients were identified using the Taiwan National Health Insurance Research Database. Multivariate analysis using a Cox proportional hazards model and propensity scores was used to assess the relationship between 5-year survival rates and physician caseloads. RESULTS: As the caseload of individual physicians increased, unadjusted 5-year survival rates increased (P = 0.005). Using a Cox proportional hazard model, patients treated by high-volume physicians had better survival rates (P = 0.03), after adjusting for comorbidities, hospital type, and treatment modality. When analyzed by propensity score, the adjusted 5-year survival rate differed significantly between patients treated by high/medium-volume physicians vs. patients treated by low/medium-volume physicians (60% vs. 54%, respectively; P = 0.04). CONCLUSIONS: Provider caseload affected survival rates in cervical cancer patients treated with brachytherapy. Both Cox proportional hazard model analysis and propensity scores showed association between high/medium volume physicians and improved survival. |
format | Online Article Text |
id | pubmed-4218989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42189892014-11-05 Higher caseload improves cervical cancer survival in patients treated with brachytherapy Lee, Moon-Sing Tsai, Shiang-Jiun Lee, Ching-Chih Su, Yu-Chieh Chiou, Wen-Yen Lin, Hon-Yi Hung, Shih-Kai Radiat Oncol Research OBJECTIVES: Increased caseload has been associated with better patient outcomes in many areas of health care, including high-risk surgery and cancer treatment. However, such a positive volume vs. outcome relationship has not yet been validated for cervical cancer brachytherapy. The purpose of this study was to examine the relationship between physician caseload and survival rates in cervical cancer treated with brachytherapy using population-based data. METHODS: Between 2005 and 2010, a total of 818 patients were identified using the Taiwan National Health Insurance Research Database. Multivariate analysis using a Cox proportional hazards model and propensity scores was used to assess the relationship between 5-year survival rates and physician caseloads. RESULTS: As the caseload of individual physicians increased, unadjusted 5-year survival rates increased (P = 0.005). Using a Cox proportional hazard model, patients treated by high-volume physicians had better survival rates (P = 0.03), after adjusting for comorbidities, hospital type, and treatment modality. When analyzed by propensity score, the adjusted 5-year survival rate differed significantly between patients treated by high/medium-volume physicians vs. patients treated by low/medium-volume physicians (60% vs. 54%, respectively; P = 0.04). CONCLUSIONS: Provider caseload affected survival rates in cervical cancer patients treated with brachytherapy. Both Cox proportional hazard model analysis and propensity scores showed association between high/medium volume physicians and improved survival. BioMed Central 2014-10-25 /pmc/articles/PMC4218989/ /pubmed/25344121 http://dx.doi.org/10.1186/s13014-014-0234-2 Text en © Lee et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Lee, Moon-Sing Tsai, Shiang-Jiun Lee, Ching-Chih Su, Yu-Chieh Chiou, Wen-Yen Lin, Hon-Yi Hung, Shih-Kai Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title | Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title_full | Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title_fullStr | Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title_full_unstemmed | Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title_short | Higher caseload improves cervical cancer survival in patients treated with brachytherapy |
title_sort | higher caseload improves cervical cancer survival in patients treated with brachytherapy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4218989/ https://www.ncbi.nlm.nih.gov/pubmed/25344121 http://dx.doi.org/10.1186/s13014-014-0234-2 |
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