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Therefore, he is in the best position to translate disease guidelines into prescribing decisions for individual patients with multiple chronic conditions by weighting benefit and harm associated with multi-drug regimes.
Further, we also show that even existing and well-accepted methods, like equal weighting, Benefit of the Doubt weighting (BoD) and principal component analysis weighting (PCA) may lead to drastically differing results.
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According to this view, humans are able to optimise their utility by weighting benefits and costs.
DCA can take into account risk threshold, weighting benefits and harms, and is useful in evaluating the clinical utility of a prediction model.
The aim of preference-based evaluation methods is to assess and weight benefits, costs and risks of therapy options with respect to the individual needs of patients.
81 Again, this apparent weight benefit increased with baseline BMI.
Of the three therapies evaluated in this analysis, exenatide exhibited the strongest weight benefit, followed by sitagliptin.
In general, for studies in which insulin was aggressively titrated to optimize glycaemic benefits, there was less weight benefit of the combination therapy.
Meta-analyses found a weight benefit for metformin versus placebo of 5 kg [ 151], 3.2 kg [ 152] or 4.8 % [ 153] of initial weight.
Insulin glargine was infrequently titrated (6 8 week intervals) in this study and insulin dose was not significantly reduced during the course of the trial which may be related to the lack of weight benefit from the combination.
For obese, metformin-treated patients who fail to achieve the individualized target for HbA1c, second-line treatment choices in order of weight benefit would be: GLP-1 agonists, DPP-4 inhibitors, acarbose, bile acid sequestrants, and amylin analogs [ 7].
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CEO of Professional Science Editing for Scientists @ prosciediting.com