Popular functional foods and herbs for the management of type-2-diabetes mellitus: A comprehensive review with special reference to clinical trials and its proposed mechanism

2019 ◽  
Vol 57 ◽  
pp. 425-438 ◽  
Author(s):  
Kamesh Venkatakrishnan ◽  
Hui-Fang Chiu ◽  
Chin-Kun Wang
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Elharram ◽  
A Sharma ◽  
W White ◽  
G Bakris ◽  
P Rossignol ◽  
...  

Abstract Background The timing of enrolment following an acute coronary syndrome (ACS) may influence cardiovascular (CV) outcomes and potentially treatment effect in clinical trials. Using a large contemporary trial in patients with type 2 diabetes mellitus (T2DM) post-ACS, we examined the impact of timing of enrolment on subsequent CV outcomes. Methods EXAMINE was a randomized trial of alogliptin versus placebo in 5380 patients with T2DM and a recent ACS. The primary outcome was a composite of CV death, non-fatal myocardial infarction [MI], or non-fatal stroke. The median follow-up was 18 months. In this post hoc analysis, we examined the occurrence of subsequent CV events by timing of enrollment divided by tertiles of time from ACS to randomization: 8–34, 35–56, and 57–141 days. Results Patients randomized early (compared to the latest times) had less comorbidities at baseline including a history of heart failure (HF; 24.7% vs. 33.0%), prior coronary artery bypass graft (9.6% vs. 15.9%), or atrial fibrillation (5.9% vs. 9.4%). Despite the reduced comorbidity burden, the risk of the primary outcome was highest in patients randomized early compared to the latest time (adjusted hazard ratio [aHR] 1.47; 95% CI 1.21–1.74) (Figure 1). Similarly, patients randomized early had an increased risk of recurrent MI (aHR 1.51; 95% CI 1.17–1.96) and HF hospitalization (1.49; 95% CI 1.05–2.10). Conclusion In a contemporary cohort of T2DM with a recent ACS, early randomization following the ACS increases the risk of CV events including recurrent MI and HF hospitalization. This should be taken into account when designing future clinical trials. Figure 1 Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Takeda Pharmaceutical


2021 ◽  
pp. 193229682110600
Author(s):  
Tarani Prakash Shrivastava ◽  
Shikha Goswami ◽  
Rahul Gupta ◽  
Ramesh K. Goyal

Background: Medication adherence in type 2 diabetes mellitus (T2DM) patients is often suboptimal resulting in complications. There has been a growing interest in using mobile apps for improving medication adherence. Objective: The objective of this work was to systematically review the clinical trials that have used mobile app–based interventions in T2DM patients for improving medication adherence. Methodology: A systematic search was performed to identify published clinical trials between January 2008 and December 2020 in databases—PubMed, Cochrane Library, and Google Scholar. All studies were assessed for risk of bias using quality rating tool from the Cochrane Handbook for Systematic Reviews of Interventions. Results: Seven clinical studies having 649 participants were studied. The median sample size was 58 (range = 41-247) and the median age of participants was 53.2 (range = 48-69.4) years. All studies showed improvements in adherence; however, only three studies reported statically significant improvements in adherence measures. Selected studies were deemed as unclear in their risk of bias and the most common source of risk of bias among the studies was the absence of objective outcome assessment. Conclusions: Mobile apps appear to be effective interventions to help improve medication adherence in T2DM patients compared with conventional care strategies. The features of the App to improvise medical adherence cannot be defined based on the meta-analysis because of heterogeneity of study designs and less number of sample size. Systematically planned studies would set up applicability of mobile apps in the clinical management of T2DM.


2010 ◽  
Vol 138 (5) ◽  
pp. S-351
Author(s):  
Marcia R. Cruz-Correa ◽  
Alejandro Acevedo ◽  
Yaritza Diaz-Algorri ◽  
Maria V. Grau ◽  
John A. Baron

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