Evidence map›Paper›PMID 40588707›Full record

ArticleJournal of general internal medicine2026

Prescribing GLPs for Obesity Treatment for Adults at a University Based Health Maintenance Organization by Race, Ethnicity, and Socioeconomic Status.

Alissa S Chen, Wendy Brunetto, Maureen E Canavan, Kasia J Lipska, Elizabeth Richey, Madeline S Wilson, James Zarro, Joseph S Ross

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Alissa S ChenNational Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. Alissa.chen@yale.edu.ORCID 0000-0003-1049-9274
Wendy BrunettoYale Health Center, Yale University, New Haven, Connecticut, USA.
Maureen E CanavanYale Cancer Outcomes, Public Policy, and Effectiveness Research Center, Yale School of Medicine, New Haven, Connecticut, USA.
Kasia J LipskaCenter for Outcomes Research and Evaluation, Yale New Haven Health System, New Haven, Connecticut, USA.
Elizabeth RicheyYale Health Center, Yale University, New Haven, Connecticut, USA.
Madeline S WilsonYale Health Center, Yale University, New Haven, Connecticut, USA.
James ZarroYale Health Center, Yale University, New Haven, Connecticut, USA.
Joseph S RossNational Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

Funding

Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
NIA NIH HHS AG019134NIA NIH HHS T32 AG019134
6 · The paper itself

Abstract

backgroundWhile glucagon-like peptide-1 receptor agonists and dual glucagon-like peptide-1 receptor/GIP agonists (GLPs) have revolutionized the treatment of obesity, national data shows Black patients, Hispanic patients, and patients of lower socioeconomic status are less likely to receive anti-obesity medications.

objectiveTo assess the association between Black race, Hispanic ethnicity, and low socioeconomic status on GLP prescription receipt for adults in a university-based staff model health maintenance organization (HMO).

designCross-sectional study using electronic health record data.

participantsAdults (≥ 18 years) enrolled in Yale Health with a body mass index (BMI) ≥ 27 kg/m2 with at least one obesity-related condition or BMI ≥ 30 kg/m MAIN MEASURES: The main outcome measure was receipt of a GLP prescription for obesity treatment, including subcutaneous liraglutide, semaglutide, or tirzepatide. Main independent variables of interest included self-reported race (Asian, Black, White, Other, and Missing), ethnicity (Hispanic, non-Hispanic), and area deprivation index (ADI) quintile. Three logistic regression models examined the association of race, ethnicity, and socioeconomic status on prescription receipt: 1) an unadjusted model, 2) an adjusted model for age, sex, and clinical characteristics, and 3) an adjusted model with socioeconomic status. KEY

resultsAmong 6,225 eligible patients, 1,143 (18.3%) were prescribed a GLP. Black patients (21.5%) and Hispanic (23.1%) patients had higher prevalence of prescriptions compared to White patients (17.5%; p < 0.001) and non-Hispanic patients (18.1%; p < 0.001). In adjusted models, Black patients (OR = 0.94 [0.78-1.13]) and lowest ADI quintile patients (OR = 0.87 [0.65-1.16]) did not have statistically different odds of receiving a GLP prescription compared to White patients and the highest ADI quintile patients. Hispanic patients had slightly increased adjusted odds of prescription receipt compared to non-Hispanic patients (OR = 1.27 [1.00-1.63]).

conclusionsIn a university-based staff model HMO, there were no disparities in receipt of GLP prescriptions for obesity across racial, ethnic, or socioeconomic groups.

Indexed as

Anti-Obesity AgentsObesitySocial ClassAdultBlack or African AmericanCross-Sectional StudiesEthnicityFemaleHealthcare DisparitiesHumansMaleMiddle AgedRacial GroupsUniversitiesWhiteAnti-Obesity AgentsHealth equityObesityPharmacoepidemiology

Identifiers

PMID40588707
PMCPMC12894581

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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.