Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec 30;19(1):1754.
doi: 10.1186/s12889-019-8113-2.

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

Tengku Muhammad Hanis  1 , Najib Majdi Yaacob  2 , Suhaily Mohd Hairon  3 , Sarimah Abdullah  1 , Noorfariza Nordin  3 , Noor Hashimah Abdullah  4 , Mohd Faiz Md Ariffin  4
Affiliations

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

Tengku Muhammad Hanis et al. BMC Public Health. .

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 < 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.

Keywords: Breast cancer; Excess hazard; Excess mortality; Relative survival.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Becker S. A historic and scientific review of breast cancer: the next global healthcare challenge. Int J Gynecol Obstet. 2015;131:S36–S39. doi: 10.1016/j.ijgo.2015.03.015. - DOI - PubMed
    1. Youlden DR, Cramb SM, Yip CH, Baade PD. Incidence and mortality of female breast Cancer in the Asia-Pacific region. Cancer Biol Med. 2014;11:101–115. - PMC - PubMed
    1. Azizah AM, Nor Saleha IT, Noor Hashimah A, Asmah ZA, Mastulu W. Malaysian National Cancer Registry Report 2007–2011. Putrajaya. 2015.
    1. Mariotto AB, Noone AM, Howlader N, Cho H, Keel GE, Garshell J, et al. Cancer survival: an overview of measures, uses, and interpretation. J Natl Cancer Inst - Monogr. 2014;2014:145–186. doi: 10.1093/jncimonographs/lgu024. - DOI - PMC - PubMed
    1. Dickman PW, Sloggett A, Hills M, Hakulinen T. Regression models for relative survival. Stat Med. 2004;23:51–64. doi: 10.1002/sim.1597. - DOI - PubMed

LinkOut - more resources