Microvascular Benefits of New Antidiabetic Agents: A Systematic Review and Network Meta-Analysis of Kidney Outcomes.

CONTEXT: Diabetic kidney disease affects nearly one-third of US adults with prevalent type 2 diabetes mellitus (T2DM). The use of new antidiabetic medications in the prevention and treatment of diabetic kidney disease is a growing area of research interest. OBJECTIVE: We sought to characterize the risk of developing a composite kidney outcome among patients receiving a new antidiabetic medication of the SGLT-2i, GLP-1ra, and DPP-4i drug classes. METHODS: We conducted a systematic literature search in MEDLINE to identify randomized trials observing kidney safety endpoints associated with the use of new antidiabetic medications. Two independent reviewers selected the 7 eligible studies for analysis. Included studies were published between January 2013 and March 2020, conducted with adult participantss, published full-text in English, and observed composite kidney outcomes. A network meta-analysis was conducted within a Bayesian framework using a fixed-effects model with uninformative priors. RESULTS: A qualitative assessment of transitivity was conducted to ensure similar distribution of potential modifiers across studies. Included studies were generally comparable in mean age, glycated hemoglobin A1c (HbA1c), and mean duration of T2DM at baseline. MAIN CONCLUSIONS: Compared with placebo, dapagliflozin was associated with the greatest reduction in risk of developing the composite kidney outcome (hazard ratio 0.53; 95% credible interval, 0.43-0.66) followed by empagliflozin, canagliflozin, semaglutide, and liraglutide. Linagliptin did not show a significant reduction in risk of the outcome. LIMITATIONS: This analysis was limited by the scarcity of data for kidney safety endpoints in large, randomized clinical trials. Although the heterogeneity statistic was low, there are slight differences in study design and baseline demographic characteristics across trials.

Mediation analyses of socioeconomic factors determining racial differences in the treatment of diffuse large B-cell lymphoma in a cohort of older adults.

Despite near universal health coverage under Medicare, racial disparities persist in the treatment of diffuse large B-cell lymphoma (DLBCL) among older patients in the United States. Studies evaluating DLBCL outcomes often treat socioeconomic status (SES) measures as confounders, potentially introducing biases when SES factors are mediators of disparities in cancer treatment.To examine differences in DLBCL treatment, we performed causal mediation analyses of SES measures, including: metropolitan statistical area (MSA) of residence; census-tract poverty level; and private Medicare supplementation using the Surveillance, Epidemiology and End Results-Medicare linked database between 2001 and 2011. In this retrospective cohort study of DLBCL patients ages 66+ years, we conducted a series of multivariable logistic regression analyses estimating odds ratios (OR) and 95% confidence intervals (CI) relating chemo- and/or immuno-therapy treatment and each SES measure, comparing non-Hispanic (NH)-black, Hispanic/Latino, and Asian/Pacific Islander (API) to NH-white patients.Compared to NH-white patients, racial/ethnic minority patients had lower odds of receiving chemo- and/or immuno-therapy treatment (NH-black: OR 0.84, 95% CI 0.65, 1.08; API: OR 0.80, 95% CI 0.64, 1.01; Hispanic/Latino: OR 0.78, 95% CI 0.64, 0.96) and higher odds of lacking private Medicare supplementation and residence within an urban MSA and poor census tracts. Adjustment for SES measures as confounders nullified observed racial differences. In causal mediation analyses, between 31% and 38% of race/ethnicity differences were mediated by having private Medicare supplementation.Providing equitable access to Medicare supplementation may reduce disparities in receipt of chemo- and/or immuno-therapy treatment in older DLBCL patients.

A comparison of self-rated health using EQ-5D VAS in the United States in 2002 and 2017.

PURPOSE: To compare self-rated health among the United States general population in 2002 and 2017. METHODS: Secondary data were analyzed from two EQ-5D valuation studies conducted in 2002 and 2017. Both studies included the EQ-5D-3L self-classifier and visual analog scale (VAS), where health is rated from 0 (worst imaginable health) to 100 (best imaginable health). VAS scores were compared between time points using regression models, adjusting for sociodemographic factors (Model 1), plus illness (Model 2), and health problems according to the EQ-5D classifier (Model 3). RESULTS: Mean VAS scores in 2002 [84.4 (SD = 16.1)] were not different from 2017 [84.6 (SD = 14.5)] (p = 0.63), nor different after adjusting for demographics (Model 1) or illness (Model 2). However, 2017 VAS mean scores were significantly higher than 2002 [2.2 (95% CI 1.36-3.10)] upon adjusting for the presence of dimension-specific health problems. CONCLUSIONS: Self-rated health of the general US adult population in 2017 was similar to 2002, but after adjusting for health problems, scores were slightly higher in 2017. Sociodemographic shifts in age and education explain some of the differences in scores, and by removing health and sociodemographic factors, we found the VAS reveals self-rated health is slightly better in 2017 than 2002.