Relationship between the efficacy of oral antidiabetic drugs and clinical features in type 2 diabetic patients (JDDM38)

Japan Diabetes Clinical Data Management Study Group (JDDM)

Research output: Contribution to journalArticle

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Aims/Introduction: We carried out an observational cohort study to examine the relationship between the efficacy of oral antidiabetic drugs and clinical features in type 2 diabetics. Materials and Methods: We analyzed the CoDiC® database of the Japan Diabetes Data Management Study Group across 67 institutions in Japan. In a total of 3,698 drug-naïve patients who were initiated with metformin, dipeptidyl peptidase-4 inhibitor (DPP-4i) or sulfonylurea (SU) from 2007 to 2012, we evaluated body mass index (BMI) and hemoglobin A1c (HbA1c). The patients were stratified according to their clinical features, and matched using a propensity score to adjust for baseline factors. Results: HbA1c was reduced with all drugs, with the largest effect elicited by DPP-4i and the smallest by SU (P = 0.00). HbA1c increased with SU after 6 months in the patients stratified by an age-of-onset of <50 years (P = 0.00). BMI increased with SU in the patients stratified by a BMI of <25 (P = 0.00), and decreased with metformin in the patients with a BMI >25 (P = 0.00). The reduction in HbA1c was larger in patients with HbA1c of ≥8%, compared with that in patients with HbA1c of <8% (P = 0.00). HbA1c during the study period was higher in patients who were added to or swapped with other drug(s), than in patients continued on the original drug (P = 0.00). Conclusions: The effect on bodyweight and glycemic control differed among metformin, DPP-4i and SU, and the difference was associated with clinical features.

Original languageEnglish
Pages (from-to)386-395
Number of pages10
JournalJournal of Diabetes Investigation
Issue number3
Publication statusPublished - 2016 May 1



  • Oral antidiabetic drug
  • Propensity score-matched cohort study
  • Type 2 diabetes mellitus

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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