Scores for Predicting Diabetes Remission in Bariatric Surgery: a Systematic Review and Meta-analysis.
Lucas de Abreu SesconettoRafael Benjamim Rosa da SilvaRicardo Purchio GallettiGabriel Andrade AgarenoBarbara Buccelli ColonnoJorge Henrique Bento de SousaFrancisco TustumiPublished in: Obesity surgery (2022)
This systematic review aims to compare the accuracy of pre-existent scores predicting diabetes remission after bariatric and metabolic surgery. Among the scores, DiaBetter presented the largest area under the curve (AUC) (0.87; 95% CI, 0.84-0.9). Ad-DiaRem had the lowest AUC (0.79; 95% CI, 0.76-0.83). Ad-DiaRem showed the highest sensitivity (91%; 95% CI, 86-96%), with a specificity of 71.23% (95% CI 50.43 to 92.06%). IMS showed a sensitivity of 59% (95% CI, 20-90%), with the highest specificity (86%; 95% CI, 69-94%). Clinicians should associate the findings of the present review with patients' individual characteristics to help predict diabetes remission and evaluate the probability of the patient benefit from surgery.
Keyphrases
- type diabetes
- systematic review
- bariatric surgery
- cardiovascular disease
- minimally invasive
- glycemic control
- end stage renal disease
- coronary artery bypass
- weight loss
- ejection fraction
- chronic kidney disease
- ulcerative colitis
- newly diagnosed
- peritoneal dialysis
- randomized controlled trial
- case report
- prognostic factors
- surgical site infection
- obese patients
- adipose tissue
- patient reported outcomes
- coronary artery disease
- skeletal muscle
- acute coronary syndrome
- insulin resistance
- structural basis