Evidence map›Paper›PMID 42281856›Full record

ReviewWorld journal of transplantation2026

Glucagon-like peptide-1 agonists usage to widen the living donor pool for liver transplantation: A novel metabolic strategy.

Amr Alnagar, Muhammad U Khan, Muhammad S Ahmad, Mahmoud Mersal, Mohamed Ayyad, Rana Hassan, Mohamed Saleem Noormohamed

Abstract readReview
In one paragraph

Review in World journal of transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amr AlnagarDepartment of General Surgery, University Hospitals of Birmingham, Birmingham B9 5SS, United Kingdom. amr.alnagar@nhs.net.
Muhammad U KhanDepartment of Upper GIT Surgery, University Hospitals of Birmingham, Birmingham B9 5SS, United Kingdom.
Muhammad S AhmadDepartment of General Surgery, The Dudley Group NHS Foundation Trust, Dudley DY1 2HQ, United Kingdom.
Mahmoud MersalDepartment of Upper GIT Surgery, University Hospitals of Birmingham, Birmingham B9 5SS, United Kingdom.
Mohamed AyyadDepartment of Upper GIT Surgery, University Hospitals of Birmingham, Birmingham B9 5SS, United Kingdom.
Rana HassanDepartment of Gyneacology, Ras Elteen Hospital, Alexandria 21532, Egypt.
Mohamed Saleem NoormohamedDepartment of Upper GIT Surgery, Worcestershire Acute Hospitals, Worcester WR5 1DD, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide-1 (GLP-1)/glucose-dependent insulinotropic polypeptide receptor agonists' use as a weight loss tool is gradually expanding. They can be used as bridging therapies to reduce weight in potential living donors for liver transplantation and improve graft quality. A living donor with high body mass index is likely to be declined in most living donor programs due to concerns about donor safety and graft function. Reducing weight before surgical procedures can improve outcomes and lower the incidence of morbidity and mortality. Growing clinical evidence supports the advantage of GLP-1 receptor agonists as well as GLP-1/glucose-dependent insulinotropic polypeptide receptor agonists as bridging therapies to minimize perioperative complications. However, these agents should be used with caution due to concerns about side effects, particularly delayed gastric emptying and the risk of aspiration. This article summarizes the available evidence about the promising use of new weight-reducing agents to expand graft pool by including higher body mass index donors after weight optimization.

Indexed as

DonorGraft poolLiver transplantationObesitySteatosis

Identifiers

PMID42281856
PMCPMC13248179

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.