Two ternary chalcostannates BaSn ( = S and Se): syntheses, crystal structures, and photovoltaic studies.

Semiconducting Sn-containing chalcogenides are promising for their photovoltaic properties. Herein, we report the syntheses of two barium tin chalcogenides, BaSn ( = S and Se), by high-temperature reactions of elements. A single-crystal X-ray diffraction study shows that the BaSnSe structure crystallizes in the monoclinic system (space group: 2/) with four formula units ( = 4).

Lean diabetes is one end of the spectrum of type 2 diabetes and not a separate entity.

Aims: Lean diabetes mellitus is non-type 1 diabetes with BMI < 18.5 kg/m and is now proposed to be a unique form of diabetes. We report on prevalence, clinical and microvascular complication profile in lean diabetes to see whether it stands out as a distinct entity or is a continuum of type 2 diabetes (T2D).

The Use of Continuous Glucose Monitoring in Comparison to Self-Monitoring of Blood Glucose in Gestational Diabetes: A Systematic Review.

Background: Continuous glucose monitoring (CGM) has emerged as an important tool for managing gestational diabetes mellitus (GDM), offering real-time glucose data and the potential for improved glycemic control. Unlike traditional self-monitoring of blood glucose (SMBG), which provides intermittent readings, CGM captures continuous glucose fluctuations, including postprandial and nocturnal changes, which are critical in GDM management.

Objective: This systematic review aimed to assess the effectiveness of CGM compared with SMBG in managing glycemic control in women with GDM, focusing on key glycemic metrics such as time in range (TIR) and glycemic variability (GV), and exploring their associations with maternal and neonatal outcomes.

Subtypes of Type 2 Diabetes and Prediabetes: Mortality and Excess Life Lost in South Asians.

Background: Current definitions of type 2 diabetes (T2D) and prediabetes do not capture their pathophysiological heterogeneity. We investigated data-driven subtypes of T2D and prediabetes and evaluated their associations with mortality.

Methods: We analyzed data from 14,306 South Asian participants from the CArdiometabolic Risk Reduction cohort using unsupervised k-means clustering based on five variables: age, BMI, HbA1c, insulin resistance, and beta-cell dysfunction.

Clustering in gestational diabetes mellitus: A systematic review.

Background: Gestational diabetes mellitus (GDM) is a heterogenous disease with significant clinical variation. Studies of GDM clusters that are distinctive in terms of maternal characteristics could pave the way for more personalized treatments.

Aim: We aimed to collate studies dealing with clusters of GDM published in the literature.