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Is body mass index the prognostic factor in breast cancer?: a meta-analysis.

This study was performed to integrate the results of previous studies that investigated the relationship between body mass index (BMI) and prognosis in breast cancer. We reviewed the English literatures using the MEDLINE database from 1966 to 1999. The materials included 12 published articles with a...

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Detalles Bibliográficos
Autores principales: Ryu, S. Y., Kim, C. B., Nam, C. M., Park, J. K., Kim, K. S., Park, J., Yoo, S. Y., Cho, K. S.
Formato: Texto
Lenguaje:English
Publicado: Korean Academy of Medical Sciences 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057588/
https://www.ncbi.nlm.nih.gov/pubmed/11641531
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author Ryu, S. Y.
Kim, C. B.
Nam, C. M.
Park, J. K.
Kim, K. S.
Park, J.
Yoo, S. Y.
Cho, K. S.
author_facet Ryu, S. Y.
Kim, C. B.
Nam, C. M.
Park, J. K.
Kim, K. S.
Park, J.
Yoo, S. Y.
Cho, K. S.
author_sort Ryu, S. Y.
collection PubMed
description This study was performed to integrate the results of previous studies that investigated the relationship between body mass index (BMI) and prognosis in breast cancer. We reviewed the English literatures using the MEDLINE database from 1966 to 1999. The materials included 12 published articles with a total of 8,029 cases of breast cancer. The effect size was obtained from hazard ratio in each study. Homogeneity test was conducted before the integration of each effect size and the result demonstrated that the studies were heterogeneous. A random effect model was used to integrate the overall effect size. The integrated effect size was 1.56 (95% confidence interval, 1.22-2.00). In addition, publication bias should be accounted for because each published study was asymmetric in shape revealed by funnel plot. These results suggest that BMI have a prognostic significance in breast cancer. We believe that well-designed longitudinal studies, involving a large number of samples are required to resolve these issues.
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spelling pubmed-30575882011-03-31 Is body mass index the prognostic factor in breast cancer?: a meta-analysis. Ryu, S. Y. Kim, C. B. Nam, C. M. Park, J. K. Kim, K. S. Park, J. Yoo, S. Y. Cho, K. S. J Korean Med Sci Research Article This study was performed to integrate the results of previous studies that investigated the relationship between body mass index (BMI) and prognosis in breast cancer. We reviewed the English literatures using the MEDLINE database from 1966 to 1999. The materials included 12 published articles with a total of 8,029 cases of breast cancer. The effect size was obtained from hazard ratio in each study. Homogeneity test was conducted before the integration of each effect size and the result demonstrated that the studies were heterogeneous. A random effect model was used to integrate the overall effect size. The integrated effect size was 1.56 (95% confidence interval, 1.22-2.00). In addition, publication bias should be accounted for because each published study was asymmetric in shape revealed by funnel plot. These results suggest that BMI have a prognostic significance in breast cancer. We believe that well-designed longitudinal studies, involving a large number of samples are required to resolve these issues. Korean Academy of Medical Sciences 2001-10 /pmc/articles/PMC3057588/ /pubmed/11641531 Text en
spellingShingle Research Article
Ryu, S. Y.
Kim, C. B.
Nam, C. M.
Park, J. K.
Kim, K. S.
Park, J.
Yoo, S. Y.
Cho, K. S.
Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title_full Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title_fullStr Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title_full_unstemmed Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title_short Is body mass index the prognostic factor in breast cancer?: a meta-analysis.
title_sort is body mass index the prognostic factor in breast cancer?: a meta-analysis.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057588/
https://www.ncbi.nlm.nih.gov/pubmed/11641531
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