Evidence map›Paper›PMID 42083728›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

Low Weight Loss Response to Incretin Analogs: A Systematic Review.

Pamela S Gaskin, Peter S Chami

Abstract readSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 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

2 authors.

Pamela S GaskinFaculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados.ORCID https://orcid.org/0000-0003-3185-6840
Peter S ChamiFaculty of Pure and Applied Sciences, University of the West Indies, Bridgetown, Barbados.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of GLP-1 and GIP analogs has been a significant breakthrough in type 2 diabetes and obesity pharmacotherapy. However, individual responses to these medications can vary widely. This systematic review examines factors associated with low or no weight loss response to GLP-1 and GIP analogs. Key predictors of poor response include higher baseline body weight, BMI, HbA1c, and insulin resistance. Genetic factors, such as variants in the GLP1R gene, may also influence treatment outcomes. Metabolic health status, particularly glycemic control and insulin sensitivity, plays a crucial role in determining weight loss efficacy. Adherence to medication regimens is strongly associated with treatment success, with each additional month of treatment linked to greater weight loss. Lifestyle factors, including dietary habits and physical activity, can modulate responses to these medications. Emerging evidence suggests that gut microbiome composition may mediate weight loss outcomes. Demographic factors such as male sex and older age are associated with lower weight loss responses. Understanding these predictors is essential for optimizing treatment strategies, setting realistic expectations, and moving towards a precision medicine approach in obesity care. Further research is needed to validate these findings in diverse populations and develop practical tools for clinical decision-making.

Indexed as

Gastric Inhibitory PolypeptideGlucagon-Like Peptide 1Glucagon-Like Peptide-1 Receptor AgonistsIncretinsObesityWeight LossDiabetes Mellitus, Type 2HumansGastric Inhibitory PolypeptideGlucagon-Like Peptide 1Glucagon-Like Peptide-1 Receptor AgonistsIncretinsGLP1 and GIP analogslow weight loss responseobesityweight loss

Identifiers

PMID42083728
PMCPMC13655991

What OpenQuestion holds

Textmetadata
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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.