Evidence mapPaperPMID 41019323Full record

ReviewFrontiers in endocrinology2025

A glimpse into the pipeline of anti-obesity medication development: combining multiple receptor pathways.

Christine Park, Yushin Kim, Sawye Raygani, Eduardo Grunvald

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 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. Dietary Interventions for Hypertriglyceridemia.Current atherosclerosis reports · 2026
    Review
  2. Review
  3. Review
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

4 authors.

Christine Park *Department of Medicine, University of California San Diego, La Jolla, CA, United States.
Yushin Kim *Saint Louis University School of Medicine, Saint Louis, MO, United States.
Sawye RayganiDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
Eduardo GrunvaldDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has been historically a stubborn chronic metabolic disease, resistant to multiple therapeutic modalities. Although effective in the short-term for some people, lifestyle interventions have proven difficult to maintain in the long-term. Metabolic bariatric surgery is the most effective treatment for durable weight loss and improvement of obesity-related conditions but is invasive and vastly underutilized. For decades, patients and clinicians confronted a wide gap between lifestyle modification and bariatric procedures. Anti-obesity pharmacotherapy was plagued by either safety concerns or very modest effectiveness. Recently, the availability of highly effective medications has given patients living with obesity hope for better health. These advances represent a culmination of many years of scientific progress regarding our understanding of human weight regulation and the beginning of a new era in treating metabolic diseases. In fact, many molecules are under investigation for obesity therapy, some with novel mechanisms. Since data on these putative agents are appearing at accelerated speed, the aim of this review is to provide an updated synopsis of emerging agents, highlighting the correlation between efficacy and combination strategies.

Indexed as

Anti-Obesity AgentsDrug DevelopmentObesitySignal TransductionAnimalsHumansWeight LossAnti-Obesity Agentsanti-obesity pharmacotherapycombination therapyemerging therapiesGLP-1 receptor agonistsobesityobesity drug development

Identifiers

PMID41019323
PMCPMC12460103

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.