Long Term Evaluation of Glycemic Control in Patients with Type 2 Diabetes Receiving Either Alogliptin and Lansoprazole or Alogliptin Mono-therapy for 3 Months Followed by Alogliptin Mono-therapy:A Retrospective Analysis
Abstract
Aims:This study was the retrospective analysis of the previous study named as APPLE study( study of combination effect of AlogliPtin and lansoPrazoLE on glycemic control in patients with type 2 diabetes), in which the effect of the combination therapy of alogliptin (a dipeptidyl peptidase-4 inhibitor, DPP4-I) and lansoprazole (a proton pump inhibitor, PPI) was compared with alogliptin mono-therapy without PPI on glycemic control in a randomized open-label study design. The aim of this study was to investigate whether so called legacy effect of proton pump inhibitor on glycemic control is observed. Patients and Methods:In the patients that participated in the APPLE study( 3 months observation;total: 100 patients), the patients who continued the intake of alogliptin at least more than 1 year after the registration(enrollment)in APPLE study was evaluated on glycemic control retrospectively. As a rule, the administration of lansoprazole in combination group was discontinued after the finish of 3 months- of the APPLE study. Twenty-six patients in the alogliptin mono-therapy group and 26 patients in combination group met the requirement in this analysis. Mean observation periods were respectively 16 months. In these patients, the number of patients in whom all diabetic drugs were not changed in observation-period was respectively 18 in alogliptin mono-therapy group and 17 in combination group.Results:The decrease of HbA1c was maintained also after long term observation (16 months)…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 100 participants or records.
Read the paper
Related studies
- The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks
- Promising Ursolic Acid as a Novel Antituberculosis Agent: Current Progress and Challenges
- Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes
- Fabrication, characterization, and docking studies of furosemide-loaded nanosponges using the emulsion solvent diffusion method
- The Effect of Concomitant Administration of Proton Pump Inhibitors on the Pharmacokinetics of CDK4/6 Inhibitors in Rats: Implications for the Evaluation of Hepatic and Transporter-Mediated Drug–Drug Interactions
- Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.