Addressing minority health and health disparities has been a missing piece of the puzzle in
Big Data science. This article focuses on three priority opportunities that Big Data science …

For decades, sulfonylureas (SUs) have been important drugs in the antidiabetic therapeutic
armamentarium. They have been used as monotherapy as well as combination therapy …

Objectives To demonstrate how falsification tests can be used to evaluate instrumental
variables methods applicable to a wide variety of comparative effectiveness research …

OBJECTIVE Short-and long-term glycemic variability are risk factors for diabetes
complications. However, there are no validated A1C target ranges or measures of A1C …

Aims To characterize the relationship between HbA1c variability and adverse health
outcomes among US military veterans with Type 2 diabetes. Methods This retrospective …

While randomized controlled trials (RCTs) are the gold standard for comparative
effectiveness research, they are unable to provide the answers to all pertinent clinical and …

Sodium glucose co‐transporter‐2 inhibitors have attracted the interest of the scientific
community following the results from dedicated cardiovascular outcome trials, which …

There are a number of challenges in the economic evaluation of medical devices (MDs).
They are typically less regulated than pharmaceuticals, and the clinical evidence …

Introduction Hemoglobin A1c (A1c) treatment goals in older adults should be individualized
to balance risks and benefits. It is unclear if A1c stability over time within unique target …

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