Evidence map›Paper›PMID 29535935›Full record

ArticleIndian journal of endocrinology and metabolism

Efficacy and Safety of Teneligliptin in Indian Patients with Inadequately Controlled Type 2 Diabetes Mellitus: A Randomized, Double-blind Study.

Piyush Agarwal, Chhavi Jindal, Vinayak Sapakal

Abstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Piyush AgarwalDepartment of Medical Services, Glenmark Pharmaceuticals Limited, Mumbai, Maharashtra, India.
Chhavi JindalDepartment of Medical Services, Glenmark Pharmaceuticals Limited, Mumbai, Maharashtra, India.
Vinayak SapakalDepartment of Medical Services, Glenmark Pharmaceuticals Limited, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study evaluated the efficacy and safety of teneligliptin in patients with inadequately controlled type 2 diabetes mellitus (T2DM). SETTINGS AND

designThis was a randomized, doubleblind, placebocontrolled, parallelgroup, multicenter, Phase III study. SUBJECTS AND

methodsPatients with T2DM and inadequate glycemic control (glycosylated hemoglobin [HbA1c]: >7.0-≤8.5%) were enrolled. Patients were randomly assigned (ratio: 2:1) to receive teneligliptin 20 mg (Glenmark) or placebo. The primary efficacy variable was change from baseline in HbA1c at week 16. Additional analyses included the proportion of patients who achieved target of HbA1c ≤7.0%, changes in fasting plasma glucose (FPG), and postprandial glucose (PPG). STATISTICAL ANALYSIS: Mean change in HbA1c was analyzed using an analysis of covariance model, least square (LS) means, 95% confidence intervals (CIs), and

resultsOverall, 237 patients were included. Patients of the teneligliptin group showed reduced HbA1c levels (LS mean difference = -0.304% for intent-to-treat [ITT]; -0.291% for per-protocol (PP) populations) after 16 weeks of treatment, and a statistically significant difference was observed between the ITT (LS mean difference = 0.555; 95% CI: 0.176-0.934;

conclusionTreatment with once-daily teneligliptin led to statistically significant and clinically meaningful reductions in HbA1c and PPG, and was well tolerated in Indian patients with T2DM.

Indexed as

Glycemic controlteneligliptintreatment naïvetype 2 diabetes mellitus

Identifiers

PMID29535935
PMCPMC5838908

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.