Eight year survival among breast cancer Malaysian women from University Kebangsaan Malaysia Medical Centre.
Survival after diagnosis of cancer is one of the major outcome measurements and a key criterion for assessing quality of cancer control related to both the preventive and the therapeutic level. The purpose of this study was to determine the 8-year survival time in Malaysia based on socio-demographic and clinical characteristics. A retrospective study of 472 Malaysian women with breast cancer from the Medical Record Department at University Kebangsaan Malaysia Medical Centre (UKMMC) was therefore performed with survival analysis carried out using the Kaplan-Meier with log-rank test for univariate analysis and Cox-regression for multivariate analysis. Women who had cancer or family history of cancer had a longer 8-year survival time (p = 0.008) compared with others who did not have such a history. Tamoxifen use, positive oestrogen receptor status, and race were prognostic indicators for 8-year survival time (p = 0.036, p = 0.018, p = 0.053, respectively) in univariate analysis. Multivariate analysis showed that being Malays and having no family history of cancer were independent prognostic factors for shorter survival time (p = 0.008, p = 0.012, respectively). In conclusion, being Chinese and having a family history of cancer are predictors of longer survival among the Malaysian breast cancer women.
Al-Naggar
Redhwan Ahmed Mohammed
RA
Department of Community Health, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia. zms@ppukm.ukm.my
Isa
Zaleha Md
ZM
Shah
Shamsul Azhar
SA
Nor
Md Idris Mohd
MI
Chen
Robert
R
Ismail
Fuad
F
Al-Dubai
Sami Abdo Radman
SA
D000046:Academic Medical Centers; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000208:ethnology / Q000401:mortality*; D002681:China / Q000208:ethnology; D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D008296:Malaysia / Q000453:epidemiology; D008875:Middle Aged; D011379:Prognosis; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D012307:Risk Factors; D016019:Survival Analysis; D013997:Time Factors