Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis.
Carlo Bruno GiordaFederico PisaniAlberto De MicheliPaola PonzaniGiuseppina RussoGiacomo GuaitaRita ZilichNicoletta Musacchionull nullPublished in: BMJ open diabetes research & care (2021)
Treating diabetes as early as possible with the best quality of care, before beta-cell deterioration and microvascular complications occurrence, make it easier to compensate patients. This message is a warning against clinical inertia. All medications play a role in goal achievements but use of GLP1-RAs and glifozins contributes to overweight prevention.
Keyphrases
- weight gain
- type diabetes
- machine learning
- body mass index
- end stage renal disease
- birth weight
- glycemic control
- healthcare
- ejection fraction
- newly diagnosed
- cardiovascular disease
- weight loss
- chronic kidney disease
- prognostic factors
- risk assessment
- physical activity
- peritoneal dialysis
- palliative care
- cell therapy
- artificial intelligence
- risk factors
- stem cells
- deep learning
- chronic pain
- patient reported