ABSTRACT
The overview of postgraduate Theses and PhD Dissertations and the factors associated with their publishing is a subject, which has not been studied in recent years, especially in the field of medical sciences. The objective of this study was to find out the publishing trend by postgraduates based on their Theses or Dissertations. In this cross-sectional study all Theses and doctorate Dissertations by postgraduates of Tehran University of Medical Sciences between 2001 and 2009 were taken to account. We collected the data using the computer files or directly from mentors, students and different databases such as Pub Med. Findings showed that manuscripts from thirty per cent of the Master Theses, 76% of the PhD Dissertations were published. There was a relationship between the publishing of the Theses or Dissertations and the students' subject of study, department, Theses or Dissertations grade, the first supervisors' title, the second advisor's title, and the number of supervisors and advisors. Since the factors associated with the publishing of papers based on Theses or Dissertations are specified, it is necessary to consider them by introducing more experienced supervisors or advisors to the students. In addition, preference to Theses/Dissertations with excellent grade and publications in indexed journals should be encouraged while interviewing PhD candidates.
ABSTRACT
One of the most important complications of diabetes, is diabetic retinopathy that causes the blindness of 10,000 people every year. Different researches have been done on retinopathy risk factors in diabetic patients. This study was carried out to check the type of relationship between retinopathy risk factors and the condition of temptation it with generalized additive models. The study attempts to increase the quality of predicting the response variable and to reveal the non-linear and non-monotonic relationships between the response and the set of explanatory variables with generalized additive models. This cross-sectional study has been done on 367 diabetic patients who take part in assessment recall of retinopathy in Tehran. Entrants have been checked to determine their particulars, medical conditions and medicines. Finally has been used a data complex for fitting generalized additive models and binary logistic regression, including six continues explanatory variables: age, duration of diabetes, Body Mass index [BMI], hemoglobin A1C, cholesterol, systolic blood pressure and response variable, to the presence of retinopathy Fitting model has been done with mgcvR software. In this study 120 cases [33%] were retinopathy patient and 247 cases [67%] were not. Results of the generalized additive model were denoting that following factors have affected on retinopathy: duration of diabetes, hemoglobin and systolic blood pressure. Moreover, it has been mentioned that duration of diabetes with linear function, hemoglobin with function of degree four and systolic blood pressure with quadratic function was related to retinopathy. In addition to determination of retinopathy risk factors, it has been shown that generalized additive model can identify nonlinear relationship between variables. Therefore this model increases the quality of predicting response variable, with more information of the data relationships