J Res Med Sci
-
The correlation of metabolic syndrome and migraine headache was evaluated in some previous studies. However there is no study that compared the prevalence of metabolic syndrome in the patients with and without migraine. Control of coincidental factors such as metabolic syndrome reduces therapeutic resistance in migrainous patients. The aim of this study was to compare prevalence of metabolic syndrome in patients with and without migraine headache. ⋯ Our results demonstrate that metabolic syndrome and migraine headache had not significant correlation; however, higher body mass index and waist circumference as metabolic syndrome components had correlated with migraine headache.
-
Information on the epidemiology of venomous snake species responsible for envenomation to humans in Iran has not been well documented. In the Kashan city, venomous snakebite remains a recurring medical problem. Information providing the correct identification of snake species responsible for envenomation in this geographic region would be useful to regional medical clinics and personnel for the effective and optimal management of the patients. ⋯ Five different species of venomous snakes responsible for envenomation in the Kashan city region were confirmed. The viper, P. fieldi, was reported for the first time in the central part of Iran.
-
The aim of this study is to investigate the effect of vitamin A and C, as the agents that improve wound healing, on the adhesion formation process. ⋯ Administration of oral vitamin C reduces adhesion formation and improves wound healing.
-
selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis. Different measurement scales are studied in details and statistical comparison, modeling, and data mining methods are studied based upon using several medical examples. We have presented two ordinal-variables clustering examples, as more challenging variable in analysis, using Wisconsin Breast Cancer Data (WBCD). ⋯ by using appropriate clustering algorithm based on the measurement scale of the variables in the study, high performance is granted. Moreover, descriptive and inferential statistics in addition to modeling approach must be selected based on the scale of the variables.