Literature DB >> 33371044

TriMaster: randomised double-blind crossover study of a DPP4 inhibitor, SGLT2 inhibitor and thiazolidinedione as second-line or third-line therapy in patients with type 2 diabetes who have suboptimal glycaemic control on metformin treatment with or without a sulfonylurea-a MASTERMIND study protocol.

Beverley Shields1, Andrew Hattersley2, Catherine Angwin2, Caroline Jenkinson2, Angus Jones2, Christopher Jennison3, William Henley4, Andrew Farmer5, Naveed Sattar6, Rury R Holman7, Ewan Pearson8.   

Abstract

INTRODUCTION: Pharmaceutical treatment options for patients with type 2 diabetes mellitus (T2DM) have increased to include multiple classes of oral glucose-lowering agents but without accompanying guidance on which of these may most benefit individual patients. Clinicians lack information for treatment intensification after first-line metformin therapy. Stratifying patients by simple clinical characteristics may improve care by targeting treatment options to those in whom they are most effective. This academically designed and run three-way crossover trial aims to test a stratification approach using three standard oral glucose-lowering agents. METHODS AND ANALYSIS: TriMaster is a randomised, double-blind, crossover trial taking place at up to 25 clinical sites across England, Scotland and Wales. 520 patients with T2DM treated with either metformin alone, or metformin and a sulfonylurea who have glycated haemoglobin (HbA1c) >58 mmol/mol will be randomised to receive 16 weeks each of a dipeptidyl peptidase-4 inhibitor, sodium-glucose co-transporter-2 inhibitor and thiazolidinedione in random order. Participants will be assessed at the end of each treatment period, providing clinical and biochemical data, and their experience of side effects. Participant preference will be assessed on completion of all three treatments. The primary endpoint is HbA1c after 4 months of therapy (allowing a range of 12-18 weeks for analysis). Secondary endpoints include participant-reported preference between the three treatments, tolerability and prevalence of side effects. ETHICAL APPROVAL: This study was approved by National Health Service Health Research Authority Research Ethics Committee South Central-Oxford A, study 16/SC/0147. Written informed consent will be obtained from all participants. Results will be submitted to a peer-reviewed journal and presented at relevant scientific meetings. A lay summary of results will be made available to all participants. TRIAL REGISTRATION NUMBERS: 12039221; 2015-002790-38 and NCT02653209. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  clinical trials; diabetes & endocrinology; therapeutics

Mesh:

Substances:

Year:  2020        PMID: 33371044      PMCID: PMC7754630          DOI: 10.1136/bmjopen-2020-042784

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  17 in total

Review 1.  Relationship of baseline HbA1c and efficacy of current glucose-lowering therapies: a meta-analysis of randomized clinical trials.

Authors:  R A DeFronzo; A H Stonehouse; J Han; M E Wintle
Journal:  Diabet Med       Date:  2010-03       Impact factor: 4.359

2.  Oral Pharmacologic Treatment of Type 2 Diabetes Mellitus: A Clinical Practice Guideline Update From the American College of Physicians.

Authors:  Amir Qaseem; Michael J Barry; Linda L Humphrey; Mary Ann Forciea; Nick Fitterman; Carrie Horwitch; Devan Kansagara; Robert M McLean; Timothy J Wilt
Journal:  Ann Intern Med       Date:  2017-01-03       Impact factor: 25.391

Review 3.  The incretin system: glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes.

Authors:  Daniel J Drucker; Michael A Nauck
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

Review 4.  Predictors of efficacy of GLP-1 agonists and DPP-4 inhibitors: A systematic review.

Authors:  Helene Bihan; Winda L Ng; Dianna J Magliano; Jonathan E Shaw
Journal:  Diabetes Res Clin Pract       Date:  2016-08-26       Impact factor: 5.602

5.  Management of hyperglycaemia in type 2 diabetes, 2018. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  Melanie J Davies; David A D'Alessio; Judith Fradkin; Walter N Kernan; Chantal Mathieu; Geltrude Mingrone; Peter Rossing; Apostolos Tsapas; Deborah J Wexler; John B Buse
Journal:  Diabetologia       Date:  2018-12       Impact factor: 10.122

6.  Targeting hyperglycaemia with either metformin or repaglinide in non-obese patients with type 2 diabetes: results from a randomized crossover trial.

Authors:  S S Lund; L Tarnow; C D A Stehouwer; C G Schalkwijk; M Frandsen; U M Smidt; O Pedersen; H-H Parving; A Vaag
Journal:  Diabetes Obes Metab       Date:  2007-05       Impact factor: 6.577

7.  SPIRIT 2013 statement: defining standard protocol items for clinical trials.

Authors:  An-Wen Chan; Jennifer M Tetzlaff; Douglas G Altman; Andreas Laupacis; Peter C Gøtzsche; Karmela Krleža-Jerić; Asbjørn Hróbjartsson; Howard Mann; Kay Dickersin; Jesse A Berlin; Caroline J Doré; Wendy R Parulekar; William S M Summerskill; Trish Groves; Kenneth F Schulz; Harold C Sox; Frank W Rockhold; Drummond Rennie; David Moher
Journal:  Ann Intern Med       Date:  2013-02-05       Impact factor: 25.391

8.  Time trends in prescribing of type 2 diabetes drugs, glycaemic response and risk factors: A retrospective analysis of primary care data, 2010-2017.

Authors:  John M Dennis; William E Henley; Andrew P McGovern; Andrew J Farmer; Naveed Sattar; Rury R Holman; Ewan R Pearson; Andrew T Hattersley; Beverley M Shields; Angus G Jones
Journal:  Diabetes Obes Metab       Date:  2019-04-04       Impact factor: 6.577

9.  Markers of β-Cell Failure Predict Poor Glycemic Response to GLP-1 Receptor Agonist Therapy in Type 2 Diabetes.

Authors:  Angus G Jones; Timothy J McDonald; Beverley M Shields; Anita V Hill; Christopher J Hyde; Bridget A Knight; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2015-08-04       Impact factor: 19.112

Review 10.  Personalized medicine in diabetes: the role of 'omics' and biomarkers.

Authors:  E R Pearson
Journal:  Diabet Med       Date:  2016-06       Impact factor: 4.359

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