Evidence map›Paper›PMID 39629068›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2024

Evaluating the Overall Safety of Glucokinase Activators in Patients with Type 2 Diabetes Mellitus.

Ting-Ting Liang, Min-Jia Cao, Qian Wang, Jia-Shuang Zou, Xiao-Ming Yang, Li-Fang Gu, Fang-Hong Shi

Abstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. 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
–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

2 citing papers in PubMed.

  1. Contrasting Effects of Chronic Glucokinase Activation and Inhibition on Pancreatic Beta-Cell Function.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. 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

7 authors.

Ting-Ting Liang *Department of Pharmacy, Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou, Jiangsu, People's Republic of China.
Min-Jia Cao *Department of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Qian WangDepartment of Pharmacy, Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou, Jiangsu, People's Republic of China.
Jia-Shuang ZouDepartment of Pharmacy, Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou, Jiangsu, People's Republic of China.
Xiao-Ming YangDepartment of Pharmacy, Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou, Jiangsu, People's Republic of China.
Li-Fang GuDepartment of Pharmacy, Changshu Affiliated Hospital of Nanjing University of Chinese Medicine, Suzhou, Jiangsu, People's Republic of China.
Fang-Hong ShiDepartment of Pharmacy, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0002-1409-7718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess the overall clinical adverse events (AEs) associated with glucokinase activators (GKAs) in patients with type 2 diabetes mellitus (T2DM). Methods: We searched MEDLINE, EMBASE, Cochrane Library, and ClinicalTrials.gov databases from their dates of inception to June 6, 2023, for randomized controlled trials (RCTs) that reported safety data for GKAs in patients with T2DM. A random-effects model was used to obtain a summary odds ratio (OR) with associated 95% Confidence Intervals (CIs). Pre-specified subgroup analyses were conducted according to individual GKAs (dorzagliatin and all other GKAs), various controls, follow-up duration, mean duration of diabetes, and the location of clinical research. Results: 17 RCTs enrolling 4,918 patients (3,196 patients received GKAs and 1,722 patients received placebo or other hypoglycemic drugs) were identified. Among the 17 RCTs, dorzagliatin, AZD1656 and MK-0941 in three trials (1,541 patients), five trials (885 patients), and three trials (798 patients), respectively. GKA treatment was associated with a higher risk of any AEs (OR 1.220, 95% CI 1.072-1.389), mild AEs (OR 1.373, 95% CI 1.085-1.738), hyperlipidemia (OR 1.532, 95% CI 1.071-2.189), and hyperuricemia (OR 2.768, 95% CI 1.562-4.903) compared to patients in the control groups. The higher risks of any AEs were mainly attributed to dorzagliatin and MK-0941 and mild AEs mainly attributed to dorzagliatin. Notably, dorzagliatin had significant effects on the occurrence of hyperlipidemia (OR 1.476, 95% CI 1.025-2.126) and hyperuricemia (OR 2.727, 95% CI 1.523-4.883) in the subgroup analyses. No significant effects were detected from other GKAs when regarding hyperlipidemia and hyperuricemia. Conclusion: The results of our meta-analysis indicated that GKAs were associated with a higher risk of any AEs, mild AEs, hyperlipidemia, and hyperuricemia. Further subgroup analyses revealed that the increased occurrence of hyperlipidemia, and hyperuricemia mainly originated from dorzagliatin treatment.

Indexed as

meta-analysisrandomized controlled trialssafetysystematic reviewtype 2 diabetes mellitus

Identifiers

PMID39629068
PMCPMC11612564

What Socratic 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 Socratic graph.