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Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study

BACKGROUND: Measurement of breast cancer burden and identification of its influencing factors help in the development of public health policy and strategy against the disease. This study aimed to examine the variability of the excess mortality of female breast cancer patients in the North East Regio...

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Autores principales: Hanis, Tengku Muhammad, Yaacob, Najib Majdi, Hairon, Suhaily Mohd, Abdullah, Sarimah, Nordin, Noorfariza, Abdullah, Noor Hashimah, Ariffin, Mohd Faiz Md
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937984/
https://www.ncbi.nlm.nih.gov/pubmed/31888561
http://dx.doi.org/10.1186/s12889-019-8113-2
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author Hanis, Tengku Muhammad
Yaacob, Najib Majdi
Hairon, Suhaily Mohd
Abdullah, Sarimah
Nordin, Noorfariza
Abdullah, Noor Hashimah
Ariffin, Mohd Faiz Md
author_facet Hanis, Tengku Muhammad
Yaacob, Najib Majdi
Hairon, Suhaily Mohd
Abdullah, Sarimah
Nordin, Noorfariza
Abdullah, Noor Hashimah
Ariffin, Mohd Faiz Md
author_sort Hanis, Tengku Muhammad
collection PubMed
description BACKGROUND: Measurement of breast cancer burden and identification of its influencing factors help in the development of public health policy and strategy against the disease. This study aimed to examine the variability of the excess mortality of female breast cancer patients in the North East Region of Peninsular Malaysia. METHODS: This retrospective cohort study was conducted using breast cancer data from the Kelantan Cancer Registry between 2007 and 2011, and Kelantan general population mortality data. The breast cancer cases were followed up for 5 years until 2016. Out of 598 cases, 549 cases met the study criteria and were included in the analysis. Modelling of excess mortality was conducted using Poisson regression. RESULTS: Excess mortality of breast cancer varied according to age group (50 years old and below vs above 50 years old, Adj. EHR: 1.47; 95% CI: 1.31, 4.09; P = 0.004), ethnicity (Malay vs non-Malay, Adj. EHR: 2.31; 95% CI: 1.11, 1.96; P = 0.008), and stage (stage III and IV vs. stage I and II, Adj. EHR: 5.75; 95% CI: 4.24, 7.81; P < 0.001). CONCLUSIONS: Public health policy and strategy aim to improve cancer survival should focus more on patients presented at age below 50 years old, Malay ethnicity, and at a later stage.
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spelling pubmed-69379842019-12-31 Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study Hanis, Tengku Muhammad Yaacob, Najib Majdi Hairon, Suhaily Mohd Abdullah, Sarimah Nordin, Noorfariza Abdullah, Noor Hashimah Ariffin, Mohd Faiz Md BMC Public Health Research Article BACKGROUND: Measurement of breast cancer burden and identification of its influencing factors help in the development of public health policy and strategy against the disease. This study aimed to examine the variability of the excess mortality of female breast cancer patients in the North East Region of Peninsular Malaysia. METHODS: This retrospective cohort study was conducted using breast cancer data from the Kelantan Cancer Registry between 2007 and 2011, and Kelantan general population mortality data. The breast cancer cases were followed up for 5 years until 2016. Out of 598 cases, 549 cases met the study criteria and were included in the analysis. Modelling of excess mortality was conducted using Poisson regression. RESULTS: Excess mortality of breast cancer varied according to age group (50 years old and below vs above 50 years old, Adj. EHR: 1.47; 95% CI: 1.31, 4.09; P = 0.004), ethnicity (Malay vs non-Malay, Adj. EHR: 2.31; 95% CI: 1.11, 1.96; P = 0.008), and stage (stage III and IV vs. stage I and II, Adj. EHR: 5.75; 95% CI: 4.24, 7.81; P < 0.001). CONCLUSIONS: Public health policy and strategy aim to improve cancer survival should focus more on patients presented at age below 50 years old, Malay ethnicity, and at a later stage. BioMed Central 2019-12-30 /pmc/articles/PMC6937984/ /pubmed/31888561 http://dx.doi.org/10.1186/s12889-019-8113-2 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Article
Hanis, Tengku Muhammad
Yaacob, Najib Majdi
Hairon, Suhaily Mohd
Abdullah, Sarimah
Nordin, Noorfariza
Abdullah, Noor Hashimah
Ariffin, Mohd Faiz Md
Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title_full Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title_fullStr Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title_full_unstemmed Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title_short Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study
title_sort modelling excess mortality among breast cancer patients in the north east region of peninsular malaysia, 2007–2011: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937984/
https://www.ncbi.nlm.nih.gov/pubmed/31888561
http://dx.doi.org/10.1186/s12889-019-8113-2
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