LymphedemaV1, PubMed, Corpus, bibRecord, 004109

Predictors of quality of life of breast cancer patients.

Identifieur interne : 004109 ( PubMed/Corpus ); précédent : 004108; suivant : 004110

Predictors of quality of life of breast cancer patients.

Auteurs : Jutta Engel ; Jacqueline Kerr ; Anne Schlesinger-Raab ; Renate Eckel ; Hansjörg Sauer ; Dieter Hölzel

Source :

Acta oncologica (Stockholm, Sweden) [ 0284-186X ] ; 2003.

RBID : pubmed:14690156

English descriptors

KwdEn :
- Age Factors, Aged, Axilla, Breast Neoplasms (psychology), Comorbidity, Female, Humans, Lymph Node Excision, Lymphedema (diagnosis), Middle Aged, Multivariate Analysis, Odds Ratio, Physician-Patient Relations, Quality of Life, Surveys and Questionnaires.
MESH :
- diagnosis : Lymphedema.
- psychology : Breast Neoplasms.
- Age Factors, Aged, Axilla, Comorbidity, Female, Humans, Lymph Node Excision, Middle Aged, Multivariate Analysis, Odds Ratio, Physician-Patient Relations, Quality of Life, Surveys and Questionnaires.

Abstract

Research has indicated that several demographic and clinical factors may affect the quality of life of breast cancer patients. Few studies, however, have sufficient sample sizes for multivariate analyses to be tested. Furthermore, several important factors, such as arm morbidity, communication and comorbid illness, have not been included in quality of life models The aim of this study was to predict the simultaneous effect of these factors on long-term quality of life. Breast cancer patients (n = 990) completed a quality of life survey, including the EORTC QLQ-C30, over five years. Clinical details were registered in the Munich Cancer Registry. Eleven predictors across eight quality of life domains were analyzed over a period of five years using a logistic regression model. Arm problems, communication, comorbidity, age, surgery. and, to a lesser extent, marital, educational and employment status were significantly associated with quality of life. Adjuvant therapy, medical insurance and pT category were not significant predictors. This study is the first to demonstrate the consistency and strength of arm dysfunction and doctor-patient communication on breast cancer patients' quality of life. These important factors in breast cancer care can be improved and should be regarded as a priority.

PubMed: 14690156

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pubmed:14690156

Le document en format XML

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<author><name sortKey="Engel, Jutta" sort="Engel, Jutta" uniqKey="Engel J" first="Jutta" last="Engel">Jutta Engel</name>
<affiliation><nlm:affiliation>Munich Field Study and the Munich Cancer Registry, Klinikum Grosshadern, Ludwig-Maximilians-University, Munich, Germany. engel@ibe.med.uni-muenchen.de</nlm:affiliation>
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<author><name sortKey="Kerr, Jacqueline" sort="Kerr, Jacqueline" uniqKey="Kerr J" first="Jacqueline" last="Kerr">Jacqueline Kerr</name>
</author>
<author><name sortKey="Schlesinger Raab, Anne" sort="Schlesinger Raab, Anne" uniqKey="Schlesinger Raab A" first="Anne" last="Schlesinger-Raab">Anne Schlesinger-Raab</name>
</author>
<author><name sortKey="Eckel, Renate" sort="Eckel, Renate" uniqKey="Eckel R" first="Renate" last="Eckel">Renate Eckel</name>
</author>
<author><name sortKey="Sauer, Hansjorg" sort="Sauer, Hansjorg" uniqKey="Sauer H" first="Hansjörg" last="Sauer">Hansjörg Sauer</name>
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<author><name sortKey="Holzel, Dieter" sort="Holzel, Dieter" uniqKey="Holzel D" first="Dieter" last="Hölzel">Dieter Hölzel</name>
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<affiliation><nlm:affiliation>Munich Field Study and the Munich Cancer Registry, Klinikum Grosshadern, Ludwig-Maximilians-University, Munich, Germany. engel@ibe.med.uni-muenchen.de</nlm:affiliation>
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<author><name sortKey="Kerr, Jacqueline" sort="Kerr, Jacqueline" uniqKey="Kerr J" first="Jacqueline" last="Kerr">Jacqueline Kerr</name>
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<author><name sortKey="Schlesinger Raab, Anne" sort="Schlesinger Raab, Anne" uniqKey="Schlesinger Raab A" first="Anne" last="Schlesinger-Raab">Anne Schlesinger-Raab</name>
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<author><name sortKey="Eckel, Renate" sort="Eckel, Renate" uniqKey="Eckel R" first="Renate" last="Eckel">Renate Eckel</name>
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<series><title level="j">Acta oncologica (Stockholm, Sweden)</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Factors</term>
<term>Aged</term>
<term>Axilla</term>
<term>Breast Neoplasms (psychology)</term>
<term>Comorbidity</term>
<term>Female</term>
<term>Humans</term>
<term>Lymph Node Excision</term>
<term>Lymphedema (diagnosis)</term>
<term>Middle Aged</term>
<term>Multivariate Analysis</term>
<term>Odds Ratio</term>
<term>Physician-Patient Relations</term>
<term>Quality of Life</term>
<term>Surveys and Questionnaires</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Lymphedema</term>
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<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Breast Neoplasms</term>
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<keywords scheme="MESH" xml:lang="en"><term>Age Factors</term>
<term>Aged</term>
<term>Axilla</term>
<term>Comorbidity</term>
<term>Female</term>
<term>Humans</term>
<term>Lymph Node Excision</term>
<term>Middle Aged</term>
<term>Multivariate Analysis</term>
<term>Odds Ratio</term>
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<front><div type="abstract" xml:lang="en">Research has indicated that several demographic and clinical factors may affect the quality of life of breast cancer patients. Few studies, however, have sufficient sample sizes for multivariate analyses to be tested. Furthermore, several important factors, such as arm morbidity, communication and comorbid illness, have not been included in quality of life models The aim of this study was to predict the simultaneous effect of these factors on long-term quality of life. Breast cancer patients (n = 990) completed a quality of life survey, including the EORTC QLQ-C30, over five years. Clinical details were registered in the Munich Cancer Registry. Eleven predictors across eight quality of life domains were analyzed over a period of five years using a logistic regression model. Arm problems, communication, comorbidity, age, surgery. and, to a lesser extent, marital, educational and employment status were significantly associated with quality of life. Adjuvant therapy, medical insurance and pT category were not significant predictors. This study is the first to demonstrate the consistency and strength of arm dysfunction and doctor-patient communication on breast cancer patients' quality of life. These important factors in breast cancer care can be improved and should be regarded as a priority.</div>
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<DateCreated><Year>2003</Year>
<Month>12</Month>
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<DateCompleted><Year>2004</Year>
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<DateRevised><Year>2015</Year>
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<JournalIssue CitedMedium="Print"><Volume>42</Volume>
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<Title>Acta oncologica (Stockholm, Sweden)</Title>
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<ArticleTitle>Predictors of quality of life of breast cancer patients.</ArticleTitle>
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<Abstract><AbstractText>Research has indicated that several demographic and clinical factors may affect the quality of life of breast cancer patients. Few studies, however, have sufficient sample sizes for multivariate analyses to be tested. Furthermore, several important factors, such as arm morbidity, communication and comorbid illness, have not been included in quality of life models The aim of this study was to predict the simultaneous effect of these factors on long-term quality of life. Breast cancer patients (n = 990) completed a quality of life survey, including the EORTC QLQ-C30, over five years. Clinical details were registered in the Munich Cancer Registry. Eleven predictors across eight quality of life domains were analyzed over a period of five years using a logistic regression model. Arm problems, communication, comorbidity, age, surgery. and, to a lesser extent, marital, educational and employment status were significantly associated with quality of life. Adjuvant therapy, medical insurance and pT category were not significant predictors. This study is the first to demonstrate the consistency and strength of arm dysfunction and doctor-patient communication on breast cancer patients' quality of life. These important factors in breast cancer care can be improved and should be regarded as a priority.</AbstractText>
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<MeshHeading><DescriptorName UI="D001365" MajorTopicYN="N">Axilla</DescriptorName>
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<MeshHeading><DescriptorName UI="D016017" MajorTopicYN="N">Odds Ratio</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010817" MajorTopicYN="N">Physician-Patient Relations</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011788" MajorTopicYN="N">Quality of Life</DescriptorName>
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<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
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Predictors of quality of life of breast cancer patients.

Predictors of quality of life of breast cancer patients.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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