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A population survival model for breast cancer
Breast cancer is a major health problem, and disease control depends on an effective healthcare system. A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Progn...
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Published in: | Breast (Edinburgh) 2005-04, Vol.14 (2), p.94-102 |
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creator | Stracci, F. La Rosa, F. Falsettini, E. Ricci, E. Aristei, C. Bellezza, G. Bolis, G.B. Fenocchio, D. Gori, S. Rulli, A. Mastrandrea, V. |
description | Breast cancer is a major health problem, and disease control depends on an effective healthcare system. A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Prognostic Model (NPM). To this end, 1452 cases of breast cancer diagnosed in the Umbria Region, Italy, during the period 1994–1996 were studied. An extensive search for routinely available variants in prognosis and treatment was performed. In about 80% of cases complete information on factors included in the NPM was available. The Cox model was used to assess the prognostic value of study factors. Nodal stage was the most important prognostic factor. In women who did not undergo axillary dissection (17%) the risk of death was twice that in women with no affected nodes, but they received chemotherapy with the same frequency. Radiotherapy was also less frequently used in this group. Grading was a significant prognostic factor only when women over 80 were excluded. Population survival models based on data from cancer registries may provide a tool that can be used to evaluate healthcare systems and the effectiveness of interventions. The inclusion of older women in our models decreased the significance of many established prognostic factors because of the frequency of incomplete evaluation and less aggressive treatment in these patients. Not undergoing surgical axillary dissection was associated with a worse prognosis and with less aggressive treatment. |
doi_str_mv | 10.1016/j.breast.2004.08.011 |
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A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Prognostic Model (NPM). To this end, 1452 cases of breast cancer diagnosed in the Umbria Region, Italy, during the period 1994–1996 were studied. An extensive search for routinely available variants in prognosis and treatment was performed. In about 80% of cases complete information on factors included in the NPM was available. The Cox model was used to assess the prognostic value of study factors. Nodal stage was the most important prognostic factor. In women who did not undergo axillary dissection (17%) the risk of death was twice that in women with no affected nodes, but they received chemotherapy with the same frequency. Radiotherapy was also less frequently used in this group. Grading was a significant prognostic factor only when women over 80 were excluded. Population survival models based on data from cancer registries may provide a tool that can be used to evaluate healthcare systems and the effectiveness of interventions. The inclusion of older women in our models decreased the significance of many established prognostic factors because of the frequency of incomplete evaluation and less aggressive treatment in these patients. 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A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Prognostic Model (NPM). To this end, 1452 cases of breast cancer diagnosed in the Umbria Region, Italy, during the period 1994–1996 were studied. An extensive search for routinely available variants in prognosis and treatment was performed. In about 80% of cases complete information on factors included in the NPM was available. The Cox model was used to assess the prognostic value of study factors. Nodal stage was the most important prognostic factor. In women who did not undergo axillary dissection (17%) the risk of death was twice that in women with no affected nodes, but they received chemotherapy with the same frequency. Radiotherapy was also less frequently used in this group. Grading was a significant prognostic factor only when women over 80 were excluded. Population survival models based on data from cancer registries may provide a tool that can be used to evaluate healthcare systems and the effectiveness of interventions. The inclusion of older women in our models decreased the significance of many established prognostic factors because of the frequency of incomplete evaluation and less aggressive treatment in these patients. Not undergoing surgical axillary dissection was associated with a worse prognosis and with less aggressive treatment.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Axillary dissection</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - mortality</subject><subject>Breast Neoplasms - therapy</subject><subject>Cancer registries</subject><subject>Cohort Studies</subject><subject>Elderly patients</subject><subject>Female</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>Prognosis</subject><subject>Quality of care</subject><subject>Registries - statistics & numerical data</subject><subject>Retrospective Studies</subject><subject>Survival Analysis</subject><subject>Survival model</subject><issn>0960-9776</issn><issn>1532-3080</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMozjj6D0S6ctd60-bVjTCILxhwo-uQpLeQoZ2MSTvgv7dDB9y5upvvnsP5CLmlUFCg4mFb2IgmDUUJwApQBVB6RpaUV2VegYJzsoRaQF5LKRbkKqUtANSVUJdkQbkUkkq1JPk624f92JnBh12WxnjwB9NlfWiwy9oQs7kkc2bnMF6Ti9Z0CW9Od0W-Xp4_n97yzcfr-9N6k7tKwJArISRDJVExDryEti0pZWCt5ZwyUXNpRGWpq0FygKYtuZggYaxRyCyV1Yrcz7n7GL5HTIPufXLYdWaHYUxaSE4FMDaBbAZdDClFbPU--t7EH01BHzXprZ4X6KMmDUpPmqa3u1P-aHts_p5OXibgcQZwWnnwGHVyHicFjY_oBt0E_3_DL7myeKI</recordid><startdate>20050401</startdate><enddate>20050401</enddate><creator>Stracci, F.</creator><creator>La Rosa, F.</creator><creator>Falsettini, E.</creator><creator>Ricci, E.</creator><creator>Aristei, C.</creator><creator>Bellezza, G.</creator><creator>Bolis, G.B.</creator><creator>Fenocchio, D.</creator><creator>Gori, S.</creator><creator>Rulli, A.</creator><creator>Mastrandrea, V.</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20050401</creationdate><title>A population survival model for breast cancer</title><author>Stracci, F. ; La Rosa, F. ; Falsettini, E. ; Ricci, E. ; Aristei, C. ; Bellezza, G. ; Bolis, G.B. ; Fenocchio, D. ; Gori, S. ; Rulli, A. ; Mastrandrea, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-86674e87e8450520ff21140bbb55146957a63b1c907500df25620f6aba8e4b173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Axillary dissection</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - mortality</topic><topic>Breast Neoplasms - therapy</topic><topic>Cancer registries</topic><topic>Cohort Studies</topic><topic>Elderly patients</topic><topic>Female</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Neoplasm Staging</topic><topic>Prognosis</topic><topic>Quality of care</topic><topic>Registries - statistics & numerical data</topic><topic>Retrospective Studies</topic><topic>Survival Analysis</topic><topic>Survival model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stracci, F.</creatorcontrib><creatorcontrib>La Rosa, F.</creatorcontrib><creatorcontrib>Falsettini, E.</creatorcontrib><creatorcontrib>Ricci, E.</creatorcontrib><creatorcontrib>Aristei, C.</creatorcontrib><creatorcontrib>Bellezza, G.</creatorcontrib><creatorcontrib>Bolis, G.B.</creatorcontrib><creatorcontrib>Fenocchio, D.</creatorcontrib><creatorcontrib>Gori, S.</creatorcontrib><creatorcontrib>Rulli, A.</creatorcontrib><creatorcontrib>Mastrandrea, V.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Breast (Edinburgh)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stracci, F.</au><au>La Rosa, F.</au><au>Falsettini, E.</au><au>Ricci, E.</au><au>Aristei, C.</au><au>Bellezza, G.</au><au>Bolis, G.B.</au><au>Fenocchio, D.</au><au>Gori, S.</au><au>Rulli, A.</au><au>Mastrandrea, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A population survival model for breast cancer</atitle><jtitle>Breast (Edinburgh)</jtitle><addtitle>Breast</addtitle><date>2005-04-01</date><risdate>2005</risdate><volume>14</volume><issue>2</issue><spage>94</spage><epage>102</epage><pages>94-102</pages><issn>0960-9776</issn><eissn>1532-3080</eissn><abstract>Breast cancer is a major health problem, and disease control depends on an effective healthcare system. A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Prognostic Model (NPM). To this end, 1452 cases of breast cancer diagnosed in the Umbria Region, Italy, during the period 1994–1996 were studied. An extensive search for routinely available variants in prognosis and treatment was performed. In about 80% of cases complete information on factors included in the NPM was available. The Cox model was used to assess the prognostic value of study factors. Nodal stage was the most important prognostic factor. In women who did not undergo axillary dissection (17%) the risk of death was twice that in women with no affected nodes, but they received chemotherapy with the same frequency. Radiotherapy was also less frequently used in this group. Grading was a significant prognostic factor only when women over 80 were excluded. Population survival models based on data from cancer registries may provide a tool that can be used to evaluate healthcare systems and the effectiveness of interventions. The inclusion of older women in our models decreased the significance of many established prognostic factors because of the frequency of incomplete evaluation and less aggressive treatment in these patients. Not undergoing surgical axillary dissection was associated with a worse prognosis and with less aggressive treatment.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>15767178</pmid><doi>10.1016/j.breast.2004.08.011</doi><tpages>9</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Axillary dissection Breast cancer Breast Neoplasms - mortality Breast Neoplasms - therapy Cancer registries Cohort Studies Elderly patients Female Humans Middle Aged Neoplasm Staging Prognosis Quality of care Registries - statistics & numerical data Retrospective Studies Survival Analysis Survival model |
title | A population survival model for breast cancer |
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