Evidence mapPaperPMID 40487607Full record

ArticleWorld journal of diabetes2025

Effect of beinaglutide, a thrice-daily GLP-1 receptor agonist, on body weight and metabolic parameters: A systematic review and meta-analysis.

Abul Bashar Mohammad Kamrul-Hasan, Vanishri Ganakumar, Lakshmi Nagendra, Deep Dutta, M Rafiqul Islam, Joseph M Pappachan

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Article in World journal of diabetes, 2025. 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

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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. Article
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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.

Abul Bashar Mohammad Kamrul-HasanDepartment of Endocrinology, Mymensingh Medical College, Mymensingh 2200, Bangladesh.
Vanishri GanakumarDepartment of Endocrinology, Jawaharlal Nehru Medical College, Belagavi 590010, Karnataka, India.
Lakshmi NagendraDepartment of Endocrinology, JSS Medical College, JSS Academy of Higher Education and Research, Mysore 570015, Karnataka, India.
Deep DuttaDepartment of Endocrinology, CEDAR Superspeciality Healthcare, New Delhi 110075, Delhi, India.
M Rafiqul IslamDepartment of Internal Medicine, Shaheed Suhrawardy Medical College Hospital, Dhaka 1207, Bangladesh.
Joseph M PappachanFaculty of Science, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeinaglutide, a short-acting glucagon-like polypeptide-1 receptor agonist, has shown variable efficacy in weight reduction and metabolic control in randomized controlled trials (RCTs).

aimTo summarize the therapeutic effects of beinaglutide in patients with overweight/obesity with/without type 2 diabetes.

methodsRCTs involving patients receiving beinaglutide in the intervention arm and placebo or active comparator in the control arm were searched through multiple electronic databases. The change from baseline in body weight was the primary outcome; secondary outcomes included changes in body mass index (BMI), waist circumference (WC), blood pressure, glycemic parameters, lipids, and adverse events (AEs). RevMan web was used to conduct meta-analysis using random-effects models. Outcomes were presented as mean differences (MDs), odds ratios (ORs), or risk ratios (RRs) with 95% confidence intervals (95%CIs).

resultsSix RCTs (

conclusionShort-term data from RCTs suggested that beinaglutide causes modest benefits in reducing body weight, BMI, and WC, with no significant difference in glycemic and other metabolic endpoints compared to the control arm. Safety data were consistent with those of the other drugs in the glucagon-like polypeptide-1 receptor agonist class. Larger RCTs are warranted to prove the longer-term metabolic benefits of beinaglutide.

Indexed as

BeinaglutideGlucagon-like polypeptide-1 receptor agonistMeta-analysisObesityType 2 diabetesWeight reduction

Identifiers

PMID40487607
PMCPMC12142189

What Socratic holds

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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.