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The cause-specific Cox model censors competing events at the time when the main event occurs. In a randomized selleck chemicals clinical trial, its use may only be appropriate if the objective is to provide a measure of the treatment effect on a specific failure that is directly related to the treatment mechanism in isolation of other competing events. In such instances, estimates of the treatment effect on the main event can only be meaningfully interpreted by assuming that the events occur independently. Besides, when performing a cause-specific hazard analysis, it is assumed that treatment has no effect on the hazards of competing risks.[33,34] In contrast, the subdistribution hazard model estimates the effect of a prognostic factor on the cumulative incidence of each event and is intuitively easier to understand. Findings of this study showed that in cause-specific and subdistribution models for death from CVD, patients with BP (positive), duration of diabetes (more than 10 years), and cholesterol (more than 240 mg/dl), also for death from other (consist of CVA, cancer, infection, and DN), duration of diabetes (more than 10 years), FBS (more than 126 mg/dl), and BP, have a Succimer significant effects. In our study, duration of diabetes was associated with the increased risk of CVD mortality in patients with T2D, in accordance with our study, some studies have noted an association between duration of diabetes and the development of CVD,[35,36] whereas, others have not.[37,38] Wannamethee et al.[39] demonstrated that participants with RSL3 purchase longer duration (��8 years) had a significantly increased risk of CVD and total mortality compared with those with