Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Modelling Excess Mortality Among Breast Cancer Patients in the North East Region of Peninsular Malaysia, 2007-2011: A Population-Based Study

Tengku Muhammad Hanis
,
Najib Majdi Yaacob
* ORCID logo ,
Suhaily Mohd Hairon
ORCID logo ,
Sarimah Abdullah
ORCID logo ,
Noorfariza Nordin
,
Noor Hashimah Abdullah
,
Mohd Faiz Md Ariffin
Version 1 : Received: 30 May 2019 / Approved: 3 June 2019 / Online: 3 June 2019 (10:08:23 CEST)

A peer-reviewed article of this Preprint also exists.

Hanis, T.M., Yaacob, N.M., Hairon, S.M. et al. Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study. BMC Public Health 19, 1754 (2019) doi:10.1186/s12889-019-8113-2 Hanis, T.M., Yaacob, N.M., Hairon, S.M. et al. Modelling excess mortality among breast cancer patients in the North East Region of Peninsular Malaysia, 2007–2011: a population-based study. BMC Public Health 19, 1754 (2019) doi:10.1186/s12889-019-8113-2

Abstract

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. 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 five 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. 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). In conclusion, 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.

Keywords

breast cancer; relative survival; excess hazard; excess mortality

Subject

Medicine and Pharmacology, Oncology and Oncogenics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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