Predicting responsiveness to GLP-1 pathway drugs using real-world data.

Background: Medications targeting the glucagon-like peptide-1 (GLP-1) pathway are an important therapeutic class currently used for the treatment of Type 2 diabetes (T2D). However, there is not enough known about which subgroups of patients would receive the most benefit from these medications.

Objective: The goal of this study was to develop a predictive model for patient responsiveness to medications, here collectively called GLP-1 M, that include GLP-1 receptor agonists and dipeptidyl peptidase-4 (DPP4) inhibitors (that normally degrade endogenously-produced GLP-1).

Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk () distribution.

The Plains Spotted Skunk () is a small carnivore native to central North America that has experienced significant population reductions, and there is a lack of information about the species that could inform conservation. Our study aimed to address knowledge gaps about the distribution and habitat associations of the species in South Dakota using species distribution modeling. We used species location data collected from state natural resource managers, trappers, and members of online social media groups dedicated to hunting and wildlife conservation; environmental predictors; and 6 predictive modeling algorithms (i.

Suboptimal uptake and placement of a mandatory alcohol pregnancy warning label in Australia.

Background: Mandatory pregnancy warning labels are an important public health measure to signal the harms of drinking alcohol during pregnancy. Ensuring these labels are salient is critical to enhancing their effectiveness. On 31 July 2020, Australia mandated that alcoholic beverages labelled from 1 August 2023 display a pregnancy warning label.