A machine-learning approach for predicting the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome.

The present study aimed to explore the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome (PCOS) and predict an appropriate dosage schedule using a machine-learning approach. Data were obtained from literature mining and the rates of body weight change from the initial values were selected as the therapeutic index. The maximal effect (E) model was built up as the machine-learning model.

Effects of cimetidine on ciclosporin population pharmacokinetics and initial dose optimization in aplastic anemia patients.

The present study aimed to explore the effects of cimetidine on ciclosporin population pharmacokinetics and initial dose optimization in aplastic anemia patients. Aplastic anemia patients were used to establish a population pharmacokinetic model by the nonlinear mixed effect (NONMEM), and concentrations of ciclosporin were simulated by Monte Carlo method. With the same weight, the ciclosporin clearance rates were 0.

Effects of Sodium-Glucose Cotransporter-2 Inhibitors on Weight in Type 2 Diabetes Mellitus and Therapeutic Regimen Recommendation.

Aims: The present study is aimed at exploring the effects of sodium-glucose cotransporter-2 (SGLT-2) inhibitors on weight in type 2 diabetes mellitus (T2DM) and therapeutic regimen recommendations.

Methods: 20,019 patients with T2DM were enrolled. The maximal effect ( ) models, whose evaluation index was change rate of body weight from baseline value, were used to analyze data using nonlinear mixed effect modeling (NONMEM).

Analysis of Time Course and Dose Effect From Metformin on Body Mass Index in Children and Adolescents.

The purpose of this study was to analyze the time course and dose effect from metformin on body mass index (BMI) in children and adolescents by model-based meta-analysis (MBMA). Searching randomized controlled trial (RCT) studies of metformin on BMI in children and adolescents. The change rates of BMI from baseline values were used as indicator of evaluating metformin efficacy.

Quantitative efficacy of L-carnitine supplementation on glycemic control in type 2 diabetes mellitus patients.

Objectives: This study aimed to explore the quantitative efficacy of L-carnitine supplementation on glycemic control in type 2 diabetes mellitus patients using model-based meta-analysis (MBMA).

Methods: Literatures were retrieved from the public database and data from these trials were extracted. The quantitative efficacy of L-carnitine on fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) in type 2 diabetes mellitus patients were evaluated by maximal effect (E) models with nonlinear mixed effects modeling (NONMEM).