METHODS: A cross-sectional survey was conducted at the four outpatient clinics of general hospitals in Tehran during the period from July through October, 2009. Bi-variate analyses and multi-variate binary logistic regression were employed to find the socio- demographic predictors of mammography utilization among participants.
RESULTS: The rate of mammography participation was 21.5% and relatively high because of access to general hospital services. More women who had undergone mammography were graduates from university or college, had full-time or part-time employment, were insured whether public or private, reported a positive family history of breast cancer, and were in the middle income level (P <0.01).The largest number of participating women was in the age range of 41 to 50 years. The results of multivariate logistic regression further showed that education (95%CI: 0.131-0.622), monthly income (95%CI: 0.038-0.945), and family history of breast cancer (95%CI: 1.97-9.28) were significantly associated (all P <0.05)with mammography participation.
CONCLUSIONS: The most important issue for a successful screening program is participation. Using a random sample, this study found that the potential predictor variables of mammography participation included a higher education level, a middle income level, and a positive family history of breast cancer for Iranian women after adjusting for all other demographic variables in the model.
MATERIALS AND METHODS: This retrospective study examined breast cancer patients between 1st January 1994 and 31st December 2004 in UMMC. Survival analysis was performed using the Kaplan-Meier method and comparisons between groups using the log-rank test. Univariate and multivariate analysis on prognostic factors were carried out using the Cox's proportionate hazard model for patient demographics, and tumour and treatment factors.
RESULTS: One hundred and thirty six patients were identified, with a median age at diagnosis of 75 years. Most had at least one co-morbidity (61.8%). Only 75.0% had a good performance status (ECOG 0-1). Mean tumour size was 4.4 cm. Primary tumour stages (T stages) 3 and 4 were present in 8.1% and 30.1% of patients respectively, and 30.9% had stage III and 8.8% had stage IV disease based on overall AJCC staging. ER positivity was 58.1%. PR status was positive in 30.1%. Surgery was performed in 69.1% of the patients and mastectomy and axillary clearance were the commonest surgical procedures (50.7%). Some 79.4% of patients received hormonal therapy, 30.1% radiotherapy and only 3.6% chemotherapy. Non-standard treatment was given to 39.0% of patients due to a variety of reasons. The cumulative 5 years overall, relapse free and cause specific survivals were 51.9%, 79.7% and 73.3% respectively. Performance status, T3-4 tumour, presence of metastasis, tumour grade and ER status were independent prognostic factors for overall survival. For cause specific survival they were T4 tumour, presence of metastasis and ER status.
CONCLUSION: The 5 years overall survival rate was 51.9% and 41.8% of deaths were non-breast cancer related deaths. Low survival rate was related to low life expectancy in this population. Locally advanced disease, metastatic disease and high ER negative rates play a major role in the survival of elderly breast cancer patients in Malaysia.
METHODS: In this cohort study, we interviewed 328 women with histologically confirmed breast cancer at five medical centres in Malaysia. Times were measured from recognition of symptoms to first consultation to diagnosis and to the first definitive treatment. The event was initiation of definitive treatment. Data was analysed using multivariable Cox proportional hazards regression.
RESULTS: The mean age was 47.9 (standard deviation 9.4) years and 79.9% were ethnic Malays. The median follow-up time was 6.9 months. The median times for first doctor consultation, diagnosis and initiation of treatment were 2 months, 5.5 months and 2.4 weeks, respectively. The percentage of consultation delay more than a month was 66.8%, diagnosis delay more than three months was 73.2% and treatment delay more than one month was 11.6%. Factors associated with not initiating the definitive treatment were pregnancy (adjusted hazard ratio (AHR) 1.75; 95% Confidence Interval (CI): 1.07, 2.88), taking complementary alternative medicine (AHR 1.45; 95% CI: 1.15, 1.83), initial refusal of mastectomy (AHR 3.49; 95% CI: 2.38, 5.13) and undergoing lumpectomy prior to definitive treatment (AHR 1.62; 95% CI: 1.16, 2.28).
CONCLUSIONS: Delays in diagnosis and consultation were more serious than treatment delays. Most respondents would accept treatment immediately after diagnosis. Respondents themselves were responsible for a large proportion of the delays. This study was successful in understanding the process of breast cancer patients' experience, from symptoms recognition to consultation, diagnosis and treatment.