Following this puts new work involving it at the top of your briefing, with a note saying why it is there. Links are taken from the source record, never inferred.
A survey and synthesis of learning-augmented algorithms that raises questions about construction mechanisms and formal guarantees rather than testing empirical claims on a specific clinical or operational problem.
A network meta-analysis of 15 trials (mostly RCTs) showing GLP-1 agonists reduce AHI and BMI versus placebo, but confidence is low-to-very-low across most estimates, indirect comparisons are non-significant, and the authors explicitly state findings are hypothesis-generating rather than a basis for firm recommendations.