Personalizing Second-Line Type 2 Diabetes Treatment Selection: Combining Network Meta-analysis, Individualized Risk, and Patient Preferences for Unified Decision Support.
Sung Eun ChoiSeth A BerkowitzJohn S YudkinHuseyin NaciSanjay BasuPublished in: Medical decision making : an international journal of the Society for Medical Decision Making (2019)
Models can help integrate meta-analytic treatment effect estimates with individualized risk calculations and preferences, to aid personalized treatment selection.