Evidence mapPaperPMID 41333115Full record

ReviewJournal of obesity2025

Harnessing GLP-1 Receptor Agonists for Obesity Treatment: Prospects and Obstacles on the Horizon.

Riad Mohammed Abdelrahman, Taha Hussein Musa, Ismail Adam Arbab, Mohsen Hussein Suliman, Eltieb Omer Ahmed, Asma Noureldaim Mohamed, Hassan Hussein Musa, Mohammed Jalal, Sahar Ibrahim Gasmallah

Abstract readReview
In one paragraph

Review in Journal of obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  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

9 authors.

Riad Mohammed AbdelrahmanFaculty of Graduate Studies and Scientific Research, National Ribat University, Khartoum, Sudan.ORCID 0000-0002-1157-2739
Taha Hussein MusaPharmacy Program, School of Medical & Health Sciences, Libyan International University, Benghazi, Libya.ORCID 0000-0003-4452-1943
Ismail Adam ArbabPharmacy Program, School of Medical & Health Sciences, Libyan International University, Benghazi, Libya.ORCID 0000-0001-5811-501X
Mohsen Hussein SulimanPharmacy Program, School of Medical & Health Sciences, Libyan International University, Benghazi, Libya.ORCID 0000-0002-6263-6712
Eltieb Omer AhmedDepartment of Pharmacy Practice, Faculty of Pharmacy, International University of Africa, Khartoum, Sudan.ORCID 0000-0002-4439-4932
Asma Noureldaim MohamedDepartment of Pharmacy Practice, Faculty of Pharmacy, International University of Africa, Khartoum, Sudan.ORCID 0009-0009-0710-6514
Hassan Hussein MusaFaculty of Medical Laboratory Sciences, University of Khartoum, Khartoum, Sudan.ORCID 0000-0003-0227-6484
Mohammed JalalFaculty of Pharmacy, Karary University, Khartoum, Sudan.ORCID 0009-0001-4893-6321
Sahar Ibrahim GasmallahCollege of Public and Environmental Health, University of Bahri, Khartoum, Sudan.ORCID 0009-0000-5183-5604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity has emerged as a pressing global health challenge, and therapies based on glucagon-like Peptide 1 receptor agonists (GLP-1RAs) have transformed its management. Currently, liraglutide, semaglutide, and tirzepatide are FDA-approved for obesity treatment, while other agents are used off-label. These drugs not only provide unprecedented efficacy and acceptable safety in weight reduction and glycemic control for patients with obesity and Type 2 diabetes but also hold promise in broader indications, including neurodegenerative disorders, fatty liver disease, dyslipidemia, atherosclerosis, and cardiovascular conditions. Methods: This narrative review examined the therapeutic applications of GLP-1RAs for obesity, emphasizing their efficacy, safety profile, challenges with patient adherence, and limitations. The review also explored emerging innovations such as ultralong-acting formulations, combination therapies, and the integration of digital health and artificial intelligence in advancing antiobesity drug development. Results: GLP-1RAs represent a paradigm shift in the treatment of obesity and metabolic diseases, with rapidly expanding indications and global uptake. Recent evidence highlights improvements in tolerability, global accessibility, and the potential of novel technologies to optimize patient outcomes. By 2025, GLP-1RAs are anticipated to receive FDA approval for new indications, such as chronic kidney disease, heart failure with preserved ejection fraction, and metabolic dysfunction-associated steatohepatitis. Novel agents including CagriSema and higher dose oral semaglutide are advancing through clinical trials, while pivotal trial results for orforglipron, mazdutide, retatrutide, and survodutide are anticipated to further expand the therapeutic landscape. At the same time, the arrival of generic liraglutide and evolving insurance coverage are reshaping access and affordability. Conclusion: The convergence of pharmacological innovation, digital health strategies, and equitable care initiatives is expected to revolutionize obesity therapeutics in the coming decade. Priorities for future research include sustaining long-term weight loss, establishing disease-modifying potential in nonmetabolic disorders, and addressing health equity concerns to ensure broader global benefit.

Indexed as

Anti-Obesity AgentsGlucagon-Like Peptide-1 Receptor AgonistsObesityGlucagon-Like Peptide 1Glucagon-Like PeptidesHumansHypoglycemic AgentsLiraglutideSemaglutideAnti-Obesity AgentsGlucagon-Like Peptide 1Glucagon-Like Peptide-1 Receptor AgonistsGlucagon-Like PeptidesHypoglycemic AgentsLiraglutideSemaglutideGIP-1GLP-1RAsliraglutideobesitysemaglutidetirzepatide

Identifiers

PMID41333115
PMCPMC12668848

What Socratic holds

Texttitle and abstract
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.