ABSTRACT
Background: Patients with ductal adenocarcinoma of the body and tail of the pancreas usually remain asymptomatic until late in the course of the disease, and the survival of such patients depends on multiple factors, which may affect the therapeutic approach and patient survival. Hence, the aim of this study was to investigate such risk factors by pooling various available studies. Methods: A systematic review was conducted according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines between January 1, 2007, and December 31, 2016, using the following databases: Medline, Scopus, the Cochrane Library, and Google Scholar. Studies were selected according to the predesigned eligibility criteria, and information was extracted for demographics, clinical features, and survival outcomes. Data were pooled using fixed- or random-effects models. Results: Sixteen studies were included (5,660 patients) with a median age of 64.8 years and a median survival of 28.5 (range 13–38) months. Identified significant factors for overall survival were higher age (hazard ratio [HR] = 1.211), men (HR = 1.182), presence of lymph node metastasis (HR = 1.964), multivisceral resection (HR = 1.947), N stage (1 versus 0; HR = 1.601), surgical margin (R0 versus No R0; HR = 0.519) and tumor size (>3 cm; HR = 1.890). Conclusion: The pooled results of this study revealed several risk factors for overall survival in patients with left-sided pancreatic cancer.
ABSTRACT
Background: The Length of Hospital Stay is an important issue for the hospital managers, patients and their families. Regarding to the importance of this issue and few similar researches, this study aimed to model the Length of Hospital Stay for myocardial infarction [MI] patients admitted in Vasei hospital of Sabzevar, and to investigate its effective factors
Material and Methods: This descriptive-analytical study was performed to model the Length of Hospital Stay for myocardial infarction [MI] patients admitted in Vasei hospital of Sabzevar, in 2012. By using census method, 201 patients were entered to this study and the value of the length of hospitalization as the response variable, and the value of gender, age and residence location of the patients as the independent variables are considered. The data were analyzed using an advanced and new model, zero-truncated generalized poisson regression model, and SAS9.2 software
Results: The results showed that the average Length of Hospital Stay of MI patients was 4.876 days in Vasei hospital. Also, it was found that one year increase in age was related to one day increase in hospitalization of the MI patients. Moreover, the regression models predicted that the average Length of Hospital Stay for female patients was less than male patients, and the average Length of Hospital Stay for the urban residence patients was less than those of rural residence
Conclusions: In this study, a suitable statistical method for analyzing and modeling of the Length of Hospital Stay was obtained. Because of differences in Length of Hospital Stay in different units of hospitals, use of these advanced statistical models is proposed for another hospitals and cities