Evidence map›Paper›PMID 41728423›Full record

ReviewCureus2026

Comparative Efficacy and Safety of Different Orforglipron Doses in Patients With Type 2 Diabetes Mellitus and Obesity: A Systematic Review and Network Meta-Analysis.

Marwan Tantoush, Yaseen Almaghrabi, Allaeddin Abusbaeh, Nouraddeen Ahmed, Ayoub Tantush, Bahaeddin Ben Hamida, Malek Sagher, Motasem Sager, Aly Abouslima, Sara E Elbahnasawy and 2 more

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
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

12 authors.

Marwan TantoushInternal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Yaseen AlmaghrabiInternal Medicine, University of Tripoli, Tripoli, LBY.
Allaeddin AbusbaehGeneral Medicine, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Nouraddeen AhmedGeriatrics and General Medicine, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Ayoub TantushGeneral Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Bahaeddin Ben HamidaGeneral Practice, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Malek SagherGeneral Practice, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Motasem SagerGeneral Practice, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Aly AbouslimaAcute Medicine, Acute Care Common Stem (ACCS) Internal Medicine (IM) Trainee Lead Employer Trust, Newcastle, GBR.
Sara E ElbahnasawyDiagnostic Radiology, Menofia University Hospital, Menofia, EGY.
Mahmoud M ElhadyOrthopaedics, Faculty of Medicine, Benha University, Al-Qalyubia, EGY.
Mohamed Hesham GamalPharmacy, Banha University Hospitals, Banha, EGY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) and obesity represent major global health challenges. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have emerged as effective treatments for both conditions, providing significant glycemic control and weight-reduction benefits. Orforglipron is an investigational, oral, non-peptide GLP-1RA that does not require complex absorption enhancers or dosing restrictions. Preclinical and early clinical studies have demonstrated promising results in glycemic control and weight reduction. This systematic review and network meta-analysis aims to evaluate the efficacy and safety of various orforglipron doses in improving glycemic control and reducing body weight. We conducted a search across five databases. A frequentist network meta-analysis with random-effects models was performed using MetaInsight (version 3.14) to analyze randomized controlled trials(RCTs) comparing orforglipron with placebo in patients with obesity or diabetes. Efficacy outcomes (HbA1c, body weight, BMI, lipid profile, blood pressure) were reported as mean differences, and safety outcomes (adverse events) as risk ratios, with 95% CIs. Five RCTs involving multiple orforglipron doses (3-45 mg) demonstrated that higher doses, particularly 45 mg, significantly reduced BMI (MD = -3.52 kg/m²), body weight (MD = -9.34%), waist circumference (MD = -7.19 cm), HbA1c (MD = -1.33%), triglycerides (MD = -15.31% for 36 mg), and blood pressure compared to placebo. All doses showed higher rates of total adverse events and treatment discontinuation than placebo, while serious adverse events and specific gastrointestinal symptoms (nausea, vomiting, dyspepsia) were lower than placebo. Orforglipron is particularly suitable for patients preferring oral therapy over injectable GLP-1 receptor agonists. Orforglipron demonstrated significant dose-dependent improvements in patients with obesity (with or without comorbidities) and T2DM, with higher doses (36-45 mg) showing greater efficacy for weight loss and glycemic control, though at the cost of increased treatment discontinuation. Mid-range doses (24-36 mg) may be better suited for patients prioritizing lipid management and blood pressure control while seeking improved tolerability with a lower discontinuation risk.

Indexed as

dose-response relationshipglycemic controlnetwork meta-analysisobesityorforgliprontype 2 diabetes mellitusweight reduction

Identifiers

PMID41728423
PMCPMC12923295

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.