Evidence map›Paper›PMID 40458827›Full record

ArticleFrontiers in nutrition2025

A comparison of Glucagon-like peptide-1 receptor agonists on weight change, side effects, and quality of life in Kuwait.

Saleh Alali, Wed Al-Otaibi, Karen Ashodian, Nour Achour, Aishah Almulla, Hessa Mutlaq

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

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

2 citing papers in PubMed.

  1. Modern Management of CKM Syndrome: Use of GLP-1 Receptor Agonists in a Multidisciplinary Setting-Expert Group Recommendations from Kuwait.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  2. Article
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.

Saleh AlaliNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.
Wed Al-OtaibiNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.
Karen AshodianNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.
Nour AchourNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.
Aishah AlmullaNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.
Hessa MutlaqNutrition and Food Science Department, Kuwait University, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: An estimated 74.6% of Kuwaiti adults are classified as overweight or obese. As a result, Glucagon-like peptide 1 receptor agonists (GLP-1 RA) injections such as, Semaglutide, Liraglutide, and Tirzepatide have become an increasingly popular intervention for weight loss. However, no research has been published on the use of GLP-1 RA injections in Kuwait. Methods: A cross-sectional study using an online survey was conducted between February and May 2024. Adults in Kuwait who have taken or are currently on GLP-1 RA injections were recruited. The questionnaire collected demographic and clinical data, including weight-loss, side-effects, and quality of life. Results: In this sample of Discussion: This study highlights the varying effectiveness and tolerability of GLP-1 RAs for weight loss in Kuwait, with Tirzepatide showing the highest satisfaction and weight loss. Liraglutide users experienced more anxiety and medication switches, while Semaglutide users had moderate outcomes. Despite their benefits, GLP-1 RAs face challenges in long-term adherence due to side effects and cost.

Indexed as

Glucagon-like peptide-1 receptor agonistsKuwaitLiraglutideSemaglutideTirzepatideweight-loss

Identifiers

PMID40458827
PMCPMC12127183

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.