To predict the public health impact on cervical disease by introducing human papillomavirus (HPV) vaccination in the United Kingdom, we developed a mathematical model that can be used to reflect the impact of vaccination in different countries with existing screening programmes. Its use is discussed in the context of the United Kingdom. The model was calibrated with published data. The impact of vaccination on cervical cancer and deaths, precancerous lesions and screening outcomes were estimated for a vaccinated cohort of 12-year-old girls, among which it is estimated that there would be a reduction of 66% in the prevalence of high-grade precancerous lesions and a 76% reduction in cervical cancer deaths. Estimates for various other measures of the population effects of vaccination are also presented. We concluded that it is feasible to forecast the potential effects of HPV vaccination in the context of an existing national screening programme. Results suggest a sizable reduction in the incidence of cervical cancer and related deaths. Areas for future research include investigation of the beneficial effects of HPV vaccination on infection transmission and epidemic dynamics, as well as HPV-related neoplasms in other sites.
Our analysis suggests that adding ezetimibe to atorvastatin for patients not achieving treatment goals with their current atorvastatin dose produces greater clinical benefits than treatment with a fixed-dose atorvastatin or atorvastatin titration at an increased overall cost. The cost-effectiveness ratios provide strong evidence for the adoption of ezetimibe within the Canadian healthcare system.
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A RISK INDEX FOR STERNAL SURGICAL WOUND INFECTION AFTERCAmIovASCULAR SURGERY
Masters of Science, Epidemiology Mïchele Kohli Graduate Department of Community HealthUniversity of TorontoThe purpose of this study was to look at factors that increase the risk of stemal wgicai wound infection d e r cardiovasmlar surgery and to develop a clinical index to identie patients who are at high risk of infection. This study was based on data fiom 1 1,508 cardiac nirgery patients at the Toronto Hospital and emplo yed stepwise logistic regression techniques. The data were split into 3 groups so that validation could be done on new, independent data sets. The study found that reoperation due to complication, diabetes, more than 3 days in the intensive care unit and use of the interna1 mammary artery for revascularization were significant risk factors and these factors were included in the index. ...
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