Evidence map›Paper›PMID 37593896›Full record

ArticleObesity (Silver Spring, Md.)2023

Medications and conditions associated with weight loss in patients prescribed semaglutide based on real-world data.

William Powell, Xing Song, Yahia Mohamed, Dave Walsh, Elizabeth J Parks, Tamara M McMahon, Mirza Khan, Lemuel R Waitman

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

William PowellDepartment of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.ORCID 0009-0001-1966-657X
Xing SongDepartment of Health Management and Informatics, University of Missouri School of Medicine, Columbia, Missouri, USA.
Yahia MohamedDepartment of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
Dave WalshDepartment of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
Elizabeth J ParksDepartment of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri, USA.
Tamara M McMahonDepartment of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
Mirza KhanDepartment of Cardiovascular Medicine, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA.
Lemuel R WaitmanDepartment of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.

Funding

CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
NHLBI NIH HHS T32 HL110837Patient-Centered Outcomes Research Institute RI-MISSOURI-01-PS1
6 · The paper itself

Abstract

objectiveApproved by the Food and Drug Administration (FDA) in 2017 for diabetes and in 2021 for weight loss, semaglutide has seen widespread use among individuals who aim to lose weight. The aim of this study was to evaluate weight loss and the influence of clinical factors on semaglutide patients in real-world clinical practice.

methodsUsing data from 10 health systems within the Greater Plains Collaborative (a PCORnet Clinical Research Network), nearly 4000 clinical factors encompassing demographic, diagnosis, and prescription information were extracted for semaglutide patients. A gradient-boosting, machine-learning classifier was developed for weight-loss prediction and identification of the most impactful factors via SHapley Additive exPlanations (SHAP) value extrapolation.

resultsA total of 3555 eligible patients (539 of whom were observed 52 weeks following exposure) from March 2017 to April 2022 were studied. On average, individuals lost 4.44% (male individuals, 3.66%; female individuals, 5.08%) of their initial weight. History of diabetes mellitus diagnosis was associated with less weight loss, whereas prediabetes and linaclotide use were associated with more pronounced weight loss.

conclusionsWeight loss in patients prescribed semaglutide from real-world evidence was strong but attenuated compared with previous clinical trials. Machine-learning analysis of electronic health record data identified factors that warrant further research and consideration when tailoring weight-loss therapy.

Indexed as

Glucagon-Like PeptidesPrediabetic StateFemaleHumansMaleSemaglutideUnited StatesUnited States Food and Drug AdministrationWeight LossGlucagon-Like PeptidesSemaglutide

Identifiers

PMID37593896
PMCPMC10702395

What Socratic holds

Texttitle and abstract
LicenceTDM
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.