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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

Hanis TM 1 , Yaacob NM 2 , Hairon SM 3 , Abdullah S 1 , Nordin N 3 , Abdullah NH 4 Show all authors , Ariffin MFM 4

Affiliations 

  • 1 Unit of Biostatistics and Research Methodology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
  • 2 Unit of Biostatistics and Research Methodology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia. [email protected]
  • 3 Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
  • 4 Kelantan State Health Department, Aras 5, Wisma Persekutuan Kota Bharu, Jalan Bayam, 15590, Kota Bharu, Kelantan, Malaysia
BMC Public Health, 2019 Dec 30;19(1):1754.
PMID: 31888561 DOI: 10.1186/s12889-019-8113-2

Abstract

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 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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