Further insight into data interpretation and conclusions
نویسنده
چکیده
I read with great interest the paper by Roche and Wang entitled “Factors associatedwith a diabetes diagnosis and late diabetes diagnosis for males and females” in the Journal of Clinical and Translational Endocrinology, 2014, Vol. 1(3):77–84. Authors identified some of the factors related to diabetes and early/late diabetes diagnosis from extremely complex process of clinical, demographic, socioeconomic, lifestyle and psychosocial factors. I am very pleased to see that authors conducted their study on Newfoundland population where diabetes prevalence is the highest in Canada; however, a limited number of studies have been conducted on this population. As it is my research interest, I perhaps might be able to add little more to this study. One of the two outcome variables of this study is the ‘early’ and ‘late’ diabetes diagnosis, which was identified using diabetes related comorbidities and complications based on ICD codes. In addition to potential errors involved in assigning ICD codes as mentioned in previous studies [1], the comorbidities/complications listed in Table 1 of Roche andWang [2] could be resulted from other diseases instead of diabetes. The data might be better filtered, at least, if the conditions of higher frequencies were identified and then other potential causes of such conditions were examined. For example, although diabetes is one of the risk factors, cardiovascular disease could be caused by various other factors such as high blood pressure, cholesterol and overweight/obesity. Controlling such confounding variables, a better assessment of independent effect might be obtained.
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