N Zare, S Khodarahmi, A Rezaianzadeh,
Volume 11, Issue 3 (Vol 11, No 3 2015)
Abstract
Background and Objectives: Breast cancer is one of the most common cancers among women and is the second main cause of death after lung cancer. The objective of this study was to use the Bayes model to analyze the prognostic effects on the survival of the women with breast cancer after surgery in the south of Iran.
Methods: The date was collected 1192 women who had breast cancer in Namazi Hospital Research Center between 2001 and 2006. The complete information of only 1148 of them was registered. Parametric Bayes and Bayes Cox methods were used. Considering 0.05 as the level of significance, the data analysis was done using the WinBUGS14 software.
Results: The mean age of the patients (at the time of diagnosis) was 47 years in this study. Cox one-variable analysis showed a significant relationship between survival and smoking (P=0.009), bone metastasis (P=0.01), the number of lymph nodes (P=0.001), the tumoral level of malignancy (P=0.001), the surgical method (P=0.015), financial status (P=0.025), and the tumor size (P=0.001). By fitting Bayes models the variables tumor size, level of malignancy and number of lymph nodes were significant.
Conclusion: The results showed that clinicopathological features of cancer had a significant role in the survival of the patients.
E Ghaderi, J Hassanzadeh, A Rezaianzadeh, M Nasehi, H Barati, Mr Bazrafshan , F Mazooji, M Ghorbanian, N Ghavidel, S Razi,
Volume 16, Issue 3 (Vol.16, No.3 2020)
Abstract
Background and Objectives: A great number of tuberculosis (TB) patients present to the private sector to receive care; therefore, integrating TB control programs into private sector activities can enhance the control of TB. The Public-Private Mix (PPM) program is suggested by the World Health Organization to engage the private sector in TB control programs. In this study, a plan designed for PPM was piloted Karaj, Alborz Province, Iran.
Methods: In this community trial, pre-intervention assessment covered 18 months prior to the study. The intervention was a PPM package that was integrated into the health system by Karaj County Health Center. Then, three-month post-intervention data were collected. Analysis was performed with the SPSS 16 software using chi-square test.
Results: After the intervention, there was an increase of 40.7% in suspected cases of TB per month and an increase of 101.7% in smear positive TB cases diagnosed by Karaj laboratories. The ratio of smear positive cases to all suspected TB patients was 4.57% before and 6.56% after the intervention. The percentage of three sputum sample positive patients was 75.5% and 89.9% before and after the intervention, respectively.
Conclusion: The developed PPM program markedly improved the case detection; therefore, it is suggested to fix the potential defects of the program and implement it in all parts of the country.
