METHODS: Prostate cancer cases diagnosed between 2003 and 2008 which met with the inclusion criteria were included in the study. One hundred and twelfth (112) pairs of cases and controls matched by age and ethnicity were analysed. McNemar Odds Ratios (OR(M)) were calculated using McNemar Calculator software for univariate analysis while conditional logistic regression was used for multivariate analysis, both using SPSS version 12.0.
RESULTS: Most of the prostate cancer patients (68.8%) that came for treatment in UKMMC were above 70 years old. The majority were Chinese (50.0%) followed by Malay (46.4%) and Indian (3.6%). Multivariate analysis showed cases were more likely to have a first-degree relative with a history of cancer (OR= 3.77, 95% CI= 1.19-11.85), to have been exposed to pesticides (OR= 5.57, 95% CI= 1.75-17.78) and consumed more meat (OR= 12.23, 95% CI= 3.89-39.01). Significantly reduced risks of prostate cancer were noted among those consuming more vegetables (OR= 0.12, 95% CI= 0.02-0.84), more tomatoes (OR= 0.35, 95% CI= 0.13-0.93) and those who had frequent sexual intercourse (OR= 0.44, 95% CI= 0.19-0.96).
CONCLUSION: Some lifestyle and occupation factors are strong predictors of the occurrence of prostate cancer among patients in UKMMC. More importantly, with the identification of the potentially modifiable risk factors, proper public health intervention can be improved.
OBJECTIVES: To design and perform a simple surveillance on OLP patients based on colour-coded topography mouth maps (TMM).
MATERIALS AND METHODS: Three colour-coded TMM were employed: red for OLP in high risk oral mucosal sites, yellow for cases showing improvement and green for asymptomatic lesions at each recall visit. In this preliminary study, these were applied on 30 histologically confirmed OLP individuals attending the Oral Medicine Clinic at the Department of Oral Pathology, Oral Medicine and Periodontology, Faculty of Dentistry, University of Malaya. The sites and extent of OLP lesions were charted on either red, yellow or green TMM based on defined criteria. This surveillance evaluated OLP in relation to patientandapos;s age, race, gender, underlying systemic conditions, oral habits, initial onset of OLP, oral manifestations and presence/absence of clinically suspicious areas.
RESULTS: Study sample comprised 4 (13.3%) Malays, 9 (30.0%) Chinese and 17 (56.7%) Indians. Most OLP patients belong to the green TMM (n= 14, 46.6%) group followed by red (n= 11, 36.7%) and yellow (n= 5, 16.7%) groups. Of the 11 cases with red TMM, rebiopsy was performed on 4 cases but no dysplasia was detected. Any local confounding factors namely periodontal disease or faulty dental restorations were managed accordingly.
CONCLUSIONS: TMM is simple to use and aided the clinicians in terms of time saving and patient management. Hence, follow-up of OLP patients can be carried out more efficiently and appropriately. TMM can be used for surveillance of other oral precancerous lesions and conditions.