Evidence map›Paper›PMID 27734321›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2016

Blood Glucagon Levels Predict the Hemoglobin A1c Response to Saxagliptin in Patients with Type 2 Diabetes Inadequately Controlled with Metformin.

Hao Liu, Yun Hu, Feng-Fei Li, Bing-Li Liu, Xiao-Fei Su, Jian-Hua Ma

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Efficacy and safety ofTherapeutics and clinical risk management · 2018
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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

6 authors at 1 institution in 1 country.

Hao LiuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Yun HuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Feng-Fei LiDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Bing-Li LiuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Xiao-Fei SuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China. suxiaofeifei@126.com.
Jian-Hua MaDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China. majianhua196503@126.com.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDipeptidyl peptidase-4 (DPP-4) inhibitors are widely used as second-option medications when metformin fails. Variance of the glycated hemoglobin (HbA1c) response to DPP-4 inhibitions in patients with type 2 diabetes mellitus (T2DM) has been observed, but the characteristics which predict the response to DPP-4 inhibitor therapy are unclear. The aim of this study was to investigate the characteristics of α- and β-cell functions which might predict the efficacy of saxagliptin and facilitate personalization of treatment.

methodsWe studied 60 patients with T2DM who had inadequate glycemic control [HbA1c7.0-13.0% (53-119 mmol/mol)) with metformin alone. The patients were treated with saxagliptin (5 mg, daily) and metformin (1000-2000 mg as former) for 12 weeks. Oral glucose tolerance tests were carried out at baseline and endpoint to evaluate α- and β-cell functions, and blood C-peptide, insulin, glucagon levels were tested. Blood glucose, HbA1c and weight were also observed.

resultsSignificant reduction of weight, HbA1c and glucagon was observed after 12-week treatment, while C-peptide, insulin and homeostasis model assessment-β increased (P < 0.05). Linear regression and receiver operating characteristic analysis showed that baseline HbA1c and 30 min-glucagon were correlated with the HbA1c response to saxagliptin, while the weight loss was correlated with gender, age and fasting-insulin level. Further analysis showed the 30 min-glucagon of 49.1 pmol/L was the optimal cutoff value to predict the efficacy of saxagliptin.

conclusionsSaxagliptin added to metformin significantly improved glycemic control and α- and β-cell function. Blood glucagon level was a good predicting factor for the HbA1c response to saxagliptin, and it will help appropriate patient selection.

trial registrationChinese Clinical Trial Register identifier, ChiCTR-PPR-15007045.

Indexed as

EfficacyGlucagonSaxagliptinT2DM

Identifiers

PMID27734321
PMCPMC5118238
OpenAlexW2531888419

What OpenQuestion holds

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Registered trials

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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.