Use of Dapagliflozin in the Management of Type 2 Diabetes Mellitus: A Real-World Evidence Study in Indian Patients (FOREFRONT)

2019 ◽  
Vol 21 (8) ◽  
pp. 415-422 ◽  
Author(s):  
Vijay Viswanathan ◽  
K.P. Singh
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jianmin Wu ◽  
Fritha Morrison ◽  
Zhenxiang Zhao ◽  
Ginger Haynes ◽  
Xuanyao He ◽  
...  

Abstract Background Evidence suggests that insulin therapy of patients with type 2 diabetes mellitus (T2DM) is frequently discontinued. However, the reasons for discontinuing insulin and factors associated with insulin discontinuation in this patient population are not well understood. Methods We conducted a retrospective cohort study of adults with T2DM prescribed insulin between 2010 and 2017 at Partners HealthCare. Reasons for discontinuing insulin and factors associated with insulin discontinuation were studied using electronic medical records (EMR) data. Natural language processing (NLP) was applied to identify reasons from unstructured clinical notes. Factors associated with insulin discontinuation were extracted from structured EMR data and evaluated using multivariable logistic regression. Results Among 7009 study patients, 2957 (42.2%) discontinued insulin within 12 months after study entry. Most patients who discontinued insulin (2121 / 71.7%) had reasons for discontinuation documented. The most common reasons were improving blood glucose control (33.2%), achieved weight loss (18.5%) and initiation of non-insulin diabetes medications (16.7%). In multivariable analysis adjusted for demographics and comorbidities, patients were more likely to discontinue either basal or bolus insulin if they were on a basal-bolus regimen (OR 1.6, 95% CI 1.3 to 1.8; p <  0.001) or were being seen by an endocrinologist (OR 2.6; 95% CI 2.2 to 3.0; p <  0.001). Conclusions In this large real-world evidence study conducted in an area with a high penetration of health insurance, insulin discontinuation countenanced by healthcare providers was common. In most cases it was linked to achievement of glycemic control, achieved weight loss and initiation of other diabetes medications. Factors associated with and stated reasons for insulin discontinuation were different from those previously described for non-adherence to insulin therapy, identifying it as a distinct clinical phenomenon.


2020 ◽  
Vol 36 (4) ◽  
pp. 372-379
Author(s):  
Véronique Lambert-Obry ◽  
Jean-Philippe Lafrance ◽  
Michelle Savoie ◽  
Sandrine Henri ◽  
Jean Lachaine

ObjectivesUnlike randomized controlled trials, lack of methodological rigor is a concern about real-world evidence (RWE) studies. The objective of this study was to characterize methodological practices of studies collecting pharmacoeconomic data in a real-world setting for the management of type 2 diabetes mellitus (T2DM).MethodsA systematic literature review was performed using the PICO framework: population consisted of T2DM patients, interventions and comparators were any intervention for T2DM care or absence of intervention, and outcomes were resource utilization, productivity loss or utility. Only RWE studies were included, defined as studies that were not clinical trials and that collected de novo data (no retrospective analysis).ResultsThe literature search identified 1,158 potentially relevant studies, among which sixty were included in the literature review. Many studies showed a lack of transparency by not mentioning the source for outcome and exposure measurement, source for patient selection, number of study sites, recruitment duration, sample size calculation, sampling method, missing data, approbation by an ethics committee, obtaining patient's consent, conflicts of interest, and funding. A significant proportion of studies had poor quality scores and was at high risk of bias.ConclusionsRWE from T2DM studies lacks transparency and credibility. There is a need for good procedural practices that can increase confidence in RWE studies. Standardized methodologies specifically adapted for RWE studies collecting pharmacoeconomic data for the management of T2DM could help future reimbursement decision making in this major public health problem.


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