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Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques

BACKGROUND: Awareness is the primary means to control breast cancer occurrence. The purpose of the present work is to study the risk of breast cancer occurrence in different age group, for the study area, Assam, India, by means of survival analysis techniques. METHODS: Survival and hazard functions...

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Autores principales: Rajbongshi, N, Nath, D C, Mahanta, L B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318421/
https://www.ncbi.nlm.nih.gov/pubmed/30484988
http://dx.doi.org/10.31557/APJCP.2018.19.11.3033
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author Rajbongshi, N
Nath, D C
Mahanta, L B
author_facet Rajbongshi, N
Nath, D C
Mahanta, L B
author_sort Rajbongshi, N
collection PubMed
description BACKGROUND: Awareness is the primary means to control breast cancer occurrence. The purpose of the present work is to study the risk of breast cancer occurrence in different age group, for the study area, Assam, India, by means of survival analysis techniques. METHODS: Survival and hazard functions are key concepts in survival analysis for describing the distribution of event times. In the present research a new individialized model has been proposed for cumulative hazard function, taking gamma probability distribution as probability distribution of breast cancer occurrences. Kaplan Meier Survival method has been applied to find out the probability of diseases occurrence in the early menarche and late menarche group. The data used for implementation were collected from the Record Department of a prime local cancer institute, for the period 2010-2012. The information for the risk factor age at menarche were collected from the patients registered during August 2011 to February 2012. RESULTS: The study reveals that in the study area, cumulative hazard of the women belonging to 35 to 50 years is higher than the early and late aged women. The cumulative hazard plot with shape parameter 0.5, 1 and 10 shows that cumulative risk for early aged women are greater than the late age women but when this values is increased from 10, the opposite trend is observed. Further, the median age of disease occurrence among early menarche group is 52 years and for late menarche it is 54 years. CONCLUSION: The model developed could successfully point out the age group for women lying at higher risk of breast cancer occurrence. Additionally the important risk factor, age at menarche, was effectively applied to supplement to this calculation. It is hoped that practical use of this method would enhance not only awareness but also early detection of the said disease.
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spelling pubmed-63184212019-01-14 Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques Rajbongshi, N Nath, D C Mahanta, L B Asian Pac J Cancer Prev Research Article BACKGROUND: Awareness is the primary means to control breast cancer occurrence. The purpose of the present work is to study the risk of breast cancer occurrence in different age group, for the study area, Assam, India, by means of survival analysis techniques. METHODS: Survival and hazard functions are key concepts in survival analysis for describing the distribution of event times. In the present research a new individialized model has been proposed for cumulative hazard function, taking gamma probability distribution as probability distribution of breast cancer occurrences. Kaplan Meier Survival method has been applied to find out the probability of diseases occurrence in the early menarche and late menarche group. The data used for implementation were collected from the Record Department of a prime local cancer institute, for the period 2010-2012. The information for the risk factor age at menarche were collected from the patients registered during August 2011 to February 2012. RESULTS: The study reveals that in the study area, cumulative hazard of the women belonging to 35 to 50 years is higher than the early and late aged women. The cumulative hazard plot with shape parameter 0.5, 1 and 10 shows that cumulative risk for early aged women are greater than the late age women but when this values is increased from 10, the opposite trend is observed. Further, the median age of disease occurrence among early menarche group is 52 years and for late menarche it is 54 years. CONCLUSION: The model developed could successfully point out the age group for women lying at higher risk of breast cancer occurrence. Additionally the important risk factor, age at menarche, was effectively applied to supplement to this calculation. It is hoped that practical use of this method would enhance not only awareness but also early detection of the said disease. West Asia Organization for Cancer Prevention 2018 /pmc/articles/PMC6318421/ /pubmed/30484988 http://dx.doi.org/10.31557/APJCP.2018.19.11.3033 Text en Copyright: © Asian Pacific Journal of Cancer Prevention http://creativecommons.org/licenses/BY-SA/4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
spellingShingle Research Article
Rajbongshi, N
Nath, D C
Mahanta, L B
Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title_full Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title_fullStr Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title_full_unstemmed Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title_short Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques
title_sort estimating risk of breast cancer occurrences at different ages: application of survival techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318421/
https://www.ncbi.nlm.nih.gov/pubmed/30484988
http://dx.doi.org/10.31557/APJCP.2018.19.11.3033
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