Evidence map›Paper›PMID 40641455›Full record

ArticleJournal of comparative effectiveness research2025

Affordable access to GLP-1 obesity medications: strategies to guide market action and policy solutions in the US.

Steven D Pearson, Christopher M Whaley, Sarah K Emond

Abstract read
In one paragraph

Article in Journal of comparative effectiveness research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  4. Trends in Diagnosing Obesity: The CALOR Study.Obesity (Silver Spring, Md.) · 2026
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  18. Observational
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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

3 authors.

Steven D PearsonInstitute for Clinical & Economic Review, Boston, MA 02108, USA.
Christopher M WhaleyBrown University, Providence, RI 02912, USA.
Sarah K EmondInstitute for Clinical & Economic Review, Boston, MA 02108, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide 1 receptor agonists and glucagon-like peptide 1/gastric inhibitory polypeptide receptor agonists offer weight reduction and associated health benefits that, if sustained over time, have the potential to markedly improve population health. However, over 40% of US adults have obesity, translating into more than 100 million potential new users of obesity medications. Standing in the way of the major opportunity to improve health for these individuals is the massive and likely ongoing cost of treating such a large segment of the population, even though use of the treatments is estimated to be cost-effective over a lifetime. This paper analyzes the range of emerging market approaches and policy reforms that have the potential to help the broader US health system achieve affordable and equitable access to these medications, and the relative advantages, barriers and possible unintended consequences of each approach. We seek to present policymakers and industry leaders with insights and lessons learned from experts while offering a menu of options for the future that will help all stakeholders play an active part in an innovative future of pricing, coverage and payment for new obesity medications.

Indexed as

Anti-Obesity AgentsGlucagon-Like Peptide-1 Receptor AgonistsHealth PolicyHealth Services AccessibilityObesityDrug CostsHumansUnited StatesAnti-Obesity AgentsGlucagon-Like Peptide-1 Receptor Agonistsaffordable accessbudget impactGLP-1/gastric inhibitory polypeptide (GIP) receptor agonistsglucagon-like peptide 1 (GLP-1) receptor agonistsobesity management

Identifiers

PMID40641455
PMCPMC12403326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.