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Precision medicine in type 2 diabetes: using individualized prediction models to optimize selection of treatment

The single strongest predictor of a good outcome is not how hard you push

The body's homeostatic mechanisms actively defend against sustained weight loss, making pharmacological support withdrawal a vulnerable period requiring proactive management strategies and realistic expectations about the challenges ahead

Continuous data collected from the participants over the 26 week treatment period was assessed using an ANCOVA model, using randomized treatment as a factor and baseline bodyweight as a covariate

The extended time required for the effects observed here to take place suggests that they include regulation of gene expression