Evidence map›Paper›PMID 19542012›Full record

Trial reportDiabetes care2009

Effects of a protein preload on gastric emptying, glycemia, and gut hormones after a carbohydrate meal in diet-controlled type 2 diabetes.

Jing Ma, Julie E Stevens, Kimberly Cukier, Anne F Maddox, Judith M Wishart, Karen L Jones, Peter M Clifton, Michael Horowitz, Christopher K Rayner

Open access · hybridAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 5 pooled it
8.6field-weighted citation impact, top 2% 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

191 citing papers in PubMed, 5 syntheses or guidelines pooled it, 382 citations in OpenAlex.

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131 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Jing MaDiscipline of Medicine, University of Adelaide, Royal Adelaide Hospital, Adelaide, Australia.
Julie E Stevens
Kimberly Cukier
Anne F Maddox
Judith M Wishart
Karen L Jones
Peter M Clifton
Michael Horowitz
Christopher K Rayner
Royal Adelaide Hospital · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated whether a whey preload could slow gastric emptying, stimulate incretin hormones, and attenuate postprandial glycemia in type 2 diabetes. RESEARCH DESIGN AND

methodsEight type 2 diabetic patients ingested 350 ml beef soup 30 min before a potato meal; 55 g whey was added to either the soup (whey preload) or potato (whey in meal) or no whey was given.

resultsGastric emptying was slowest after the whey preload (P < 0.0005). The incremental area under the blood glucose curve was less after the whey preload and whey in meal than after no whey (P < 0.005). Plasma glucose-dependent insulinotropic polypeptide, insulin, and cholecystokinin concentrations were higher on both whey days than after no whey, whereas glucagon-like peptide 1 was greatest after the whey preload (P < 0.05).

conclusionsWhey protein consumed before a carbohydrate meal can stimulate insulin and incretin hormone secretion and slow gastric emptying, leading to marked reduction in postprandial glycemia in type 2 diabetes.

Indexed as

Blood GlucoseCholecystokininDiabetes Mellitus, Type 2Dietary ProteinsFemaleGastric EmptyingGastrointestinal HormonesGlucagon-Like Peptide 1HumansInsulinMaleMiddle AgedBlood GlucoseCholecystokininDietary ProteinsGastrointestinal HormonesGlucagon-Like Peptide 1Insulin

Identifiers

PMID19542012
PMCPMC2732158
OpenAlexW2140763417

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.