Evidence map›Paper›PMID 38987347›Full record

ArticleCommunications medicine2024

Using large language models to assess public perceptions around glucagon-like peptide-1 receptor agonists on social media.

Sulaiman Somani, Sneha S Jain, Ashish Sarraju, Alexander T Sandhu, Tina Hernandez-Boussard, Fatima Rodriguez

Abstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  4. Influence without medical expertise: a social network analysis of Mounjaro discussions on twitter (X).Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026
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  5. Article
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  14. What Are the Experiences, Views and Perceptions of Patients, Carers and Clinicians of Glucagon-like Peptide-1 Receptor Agonists (GLP-1 RAs)? A Scoping Review.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  15. 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.

Sulaiman Somani *Department of Medicine, Stanford University, Stanford, CA, USA.
Sneha S Jain *Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Ashish SarrajuDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
Alexander T SandhuDivision of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Tina Hernandez-BoussardDepartment of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6553-3455
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Stanford, CA, USA. frodrigu@stanford.edu.ORCID http://orcid.org/0000-0002-5226-0723

Funding

Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep LearningR01HL167974 · NHLBI · STANFORD UNIVERSITY · PI Imon Banerjee, Akshay Chaudhari · 2023 to 2026
$2.4M
Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
Doris Duke Charitable Foundation (DDCF) 2022051NHLBI NIH HHS K01 HL144607NHLBI NIH HHS R01 HL167974NHLBI NIH HHS R01 HL168188U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1K01HL144607U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL168188
6 · The paper itself

Abstract

backgroundThe prevalence of obesity has been increasing worldwide, with substantial implications for public health. Obesity is independently associated with cardiovascular morbidity and mortality and is estimated to cost the health system over $200 billion dollars annually. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have emerged as a practice-changing therapy for weight loss and cardiovascular risk reduction independent of diabetes.

methodsWe used large language models to augment our previously reported artificial intelligence-enabled topic modeling pipeline to analyze over 390,000 unique GLP-1 RA-related Reddit discussions.

resultsWe find high interest around GLP-1 RAs, with a total of 168 topics and 33 groups focused on the GLP-1 RA experience with weight loss, comparison of side effects between differing GLP-1 RAs and alternate therapies, issues with GLP-1 RA access and supply, and the positive psychological benefits of GLP-1 RAs and associated weight loss. Notably, public sentiment in these discussions was mostly neutral-to-positive.

conclusionsThese findings have important implications for monitoring new side effects not captured in randomized control trials and understanding the public health challenge of drug shortages.

Identifiers

PMID38987347
PMCPMC11237093

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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.