Evidence map›Paper›PMID 34123395›Full record

ArticleObesity science & practice2021

Energy intake as a short-term biomarker for weight loss in adults with obesity receiving liraglutide: A randomized trial.

Aditi R Saxena, Anindita Banerjee, Karen D Corbin, Stephanie A Parsons, Steven R Smith

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% of its field
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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Aditi R SaxenaWorldwide Research and Development Pfizer Inc Cambridge Massachusetts USA.
Anindita BanerjeeWorldwide Research and Development Pfizer Inc Cambridge Massachusetts USA.
Karen D CorbinAdventHealth Translational Research Institute Orlando Florida USA.
Stephanie A ParsonsAdventHealth Translational Research Institute Orlando Florida USA.
Steven R SmithAdventHealth Translational Research Institute Orlando Florida USA.
Translational Research Institute for Metabolism and Diabetes · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveObesity is a chronic disease associated with many serious comorbidities. Pharmacologic therapies are approved for the treatment of obesity; however, short-term biomarkers to predict weight loss are not well understood. This study aimed to determine the ability of single-meal energy intake (EI) to predict weight loss in participants with obesity treated with liraglutide.

methodsIn this randomized, double-blind, placebo-controlled study, participants received subcutaneous liraglutide (titrated to 3.0 mg/day) or placebo once daily, with inpatient assessments at baseline and weeks 3 and 6. The primary endpoint was change from baseline (CFB) in EI during consecutive ad libitum lunch meals at weeks 3 and 6. Secondary endpoints included CFB in 24- and 48-h EI, weight, appetite scores, and gastric emptying measures.

resultsSixty-one participants were randomized (

conclusionsEI during a single meal is a robust clinical predictor of weight changes in participants with obesity. Future clinical trials can utilize EI at a single meal as a predictor of weight loss.

Indexed as

energy intakeglucagon‐like peptide‐1obesityweight loss

Identifiers

PMID34123395
PMCPMC8170575
OpenAlexW3126970982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.