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Hasmah Hussin 1 Article
A comparison of breast cancer survival across different age groups: a multicentric database study in Penang, Malaysia
King Fang Tan, Farzaana Adam, Hasmah Hussin, Noor Mastura Mohd Mujar
Epidemiol Health. 2021;43:e2021038.   Published online May 25, 2021
DOI: https://doi.org/10.4178/epih.e2021038
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Abstract
This study compared breast cancer survival and the prognostic factors across different age groups of women in Penang, Malaysia. Data on 2,166 women with breast cancer who had been diagnosed between 2010 and 2014 were extracted from the Penang Breast Cancer Registry and stratified into 3 age groups: young (< 40 years old), middle-aged (40-59 years old), and elderly (≥ 60 years). The overall and relative survival rates were calculated using the life table method, median survival time was calculated using the Kaplan-Meier method, and comparisons between groups were conducted using the log-rank test. Prognostic factors were analyzed using a Cox proportional hazards model. The 5-year overall and breast cancer-specific survival rates for women with breast cancer in Penang were 72.9% and 75.2%, with a mean survival time of 92.5 months and 95.1 months, respectively. The 5-year breast cancer-specific survival rates for young, middle-aged, and elderly women were 74.9%, 77.8%, and 71.4%, respectively, with a mean survival time of 95.7 months, 97.5 months, and 91.2 months. There was a significant difference in breast cancer survival between age groups, with elderly women showing the lowest survival rate, followed by young and middle-aged women. Disease stage was the most prominent prognostic factor for all age groups. Survival rates and prognostic factors differed according to age group. Treatment planning for breast cancer patients should be age-specific to promote better cancer care and survival.
Summary
Korean summary
Key Message
The relationship between breast cancer survival and age at diagnosis has been explored, but information between survival at different age groups remains unclear, in addition to conflicting study results. This multicentre study was conducted to compare breast cancer survival across different age groups in an Asian setting.

Citations

Citations to this article as recorded by  
  • A Metabolic Gene Signature to Predict Breast Cancer Prognosis
    Jun Lu, Pinbo Liu, Ran Zhang
    Frontiers in Molecular Biosciences.2022;[Epub]     CrossRef
  • Development of Predictive Models for Survival among Women with Breast Cancer in Malaysia
    Mohd Nasrullah Nik Ab Kadir, Najib Majdi Yaacob, Siti Norbayah Yusof, Imi Sairi Ab Hadi, Kamarul Imran Musa, Seoparjoo Azmel Mohd Isa, Balqis Bahtiar, Farzaana Adam, Maya Mazuwin Yahya, Suhaily Mohd Hairon
    International Journal of Environmental Research and Public Health.2022; 19(22): 15335.     CrossRef

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