Evidence map›Paper›PMID 21855586›Full record

ArticleAppetite2011

Fat emulsion composition alters intake and the effects of baclofen.

Y Wang, D C Wilt, F H E Wojnicki, R K Babbs, J N Coupland, R L C Corwin

Abstract read
In one paragraph

Article in Appetite, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
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

6 authors at 1 institution in 1 country.

Y WangThe Pennsylvania State University, Department of Food Science, United States.
D C Wilt
F H E Wojnicki
R K Babbs
J N Coupland
R L C Corwin
Pennsylvania State University · US

Funding

NEUROBIOLOGY OF BINGE-TYPE BEHAVIORR01MH067943 · NIMH · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI CORWIN, REBECCA L · 2004 to 2013
$2.7M
NIMH NIH HHS MH67943NIMH NIH HHS R01 MH067943
6 · The paper itself

Abstract

Thickened oil-in-water emulsions are useful model foods in rat studies due to their high acceptance and similarity to foods consumed by humans. Previous work from this laboratory used oil-in-water emulsions thickened with a biopolymer blend containing starch. Intake and effects of baclofen, a GABA-B agonist that decreases fat intake and drug self-administration, were reported, but the contribution of starch was not assessed. In the present study, intake and effects of baclofen were assessed in rats using emulsions prepared with two fat types (32% vegetable shortening, 32% corn oil) and thickened with three biopolymer blends. One biopolymer blend contained starch and the other two did not. Daily 1-h intake of the vegetable shortening emulsion containing starch was significantly greater than the other emulsions. When starch was added to the emulsions originally containing no starch, intake significantly increased. Baclofen generally reduced intake of all emulsions regardless of starch content and stimulated intake of chow. However, effects were more often significant for vegetable shortening emulsions. This report: (1) demonstrates that products used to prepare thickened oil-in-water emulsions have significant effects on rat ingestive behavior, and (2) confirms the ability of baclofen to reduce consumption of fatty foods, while simultaneously stimulating intake of chow.

Indexed as

AnimalsBaclofenBiopolymersCorn OilDietary FatsEmulsionsFeeding BehaviorFood PreferencesGABA-B Receptor AgonistsMaleRatsRats, Sprague-DawleyBaclofenBiopolymersCorn OilDietary FatsEmulsionsGABA-B Receptor Agonists

Identifiers

PMID21855586
PMCPMC3215844
OpenAlexW1982950417

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.