Evidence map›Paper›PMID 40673265›Full record

ArticleObesity pillars2025

How do patients choose between obesity medications: A thematic analysis.

Alvin Mondoh, Hilary Craig, Michael Crotty, Francisca Contreras, Carel W le Roux

Abstract read
In one paragraph

Article in Obesity pillars, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Alvin MondohDiabetes Complications Research Centre, Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin 4, Ireland.
Hilary CraigDiabetes Complications Research Centre, Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin 4, Ireland.
Michael CrottyMy Best Weight Clinic, Dublin, Ireland.
Francisca ContrerasDiabetes Complications Research Centre, Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin 4, Ireland.
Carel W le RouxDiabetes Complications Research Centre, Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin 4, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rising prevalence of obesity is of particular concern due to its association with a range of serious complications, including type 2 diabetes mellitus, cardiovascular diseases, and certain types of cancer. Obesity medications can control the disease but it is unclear how patients choose which medication to use. Methods: A qualitative thematic analysis was conducted to investigate how patients select between obesity medications. Fifteen treatment naive adults with a body mass index ≥27 kg/m Results: The 5 major themes depicting how patients make selections included 1) Effectiveness of medication, 2) Information to make decisions, 3) Safety of medications, 4) Practicality and 5) Individual Strategies and Community Supports in Obesity Management. Safety concerns of side effects and long-term risks were perceived major barriers to initiating or adhering to pharmacotherapy. Conclusion: In a situation where the medications are described as being free and readily available, patient preferences for obesity medications are shaped by treatment efficacy, safety, information provided by healthcare providers. To enhance adherence and improve patient outcomes, healthcare providers should focus on delivering clear, comprehensive information and fostering strong support systems for patients.

Indexed as

EffectivenessObesityObesity medicationSafetyType 2 diabetesWeight loss

Identifiers

PMID40673265
PMCPMC12264627

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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.