Evidence map›Paper›PMID 35268021›Full record

Trial reportNutrients2022

Effect of the Consumption of Alcohol-Free Beers with Different Carbohydrate Composition on Postprandial Metabolic Response.

Itziar Lamiquiz-Moneo, Sofia Pérez-Calahorra, Irene Gracia-Rubio, Alberto Cebollada, Ana M Bea, Antonio Fumanal, Ana Ferrer-Mairal, Ascensión Prieto-Martín, María Luisa Sanz-Fernández, Ana Cenarro and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2022. 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. Trial
  2. Article
  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

12 authors.

Itziar Lamiquiz-MoneoLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.
Sofia Pérez-CalahorraDepartamento de Fisiatría y Enfermería, Facultad de Ciencias de la Salud y del Deporte, Universidad de Zaragoza, 22002 Huesca, Spain.
Irene Gracia-RubioLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0003-1028-8581
Alberto CebolladaUnidad de Biocomputación, Instituto Aragonés de Ciencias de la Salud (IACS Aragón), 50009 Zaragoza, Spain.
Ana M BeaLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.
Antonio FumanalGrupo Ágora-La Zaragozana S.A., 50007 Zaragoza, Spain.ORCID 0000-0002-9337-6837
Ana Ferrer-MairalInstituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain.
Ascensión Prieto-MartínGrupo Ágora-La Zaragozana S.A., 50007 Zaragoza, Spain.
María Luisa Sanz-FernándezServicio de Urgencias, Hospital Clínico Universitario Lozano Blesa, 50009 Zaragoza, Spain.
Ana CenarroLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.
Fernando CiveiraLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0001-7043-0952
Rocio Mateo-GallegoLaboratorio de Investigación Molecular, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Universidad de Zaragoza, 50009 Zaragoza, Spain.

Funding

Gobierno de Aragón B-14Grupo Agora - La Zaragozana S.A Not applicableInstituto de Salud Carlos III CIBERCV
6 · The paper itself

Abstract

backgroundWe investigated the postprandial effects of an alcohol-free beer with modified carbohydrate (CH) composition compared to regular alcohol-free beer.

methodsTwo randomized crossover studies were conducted. In the first study, 10 healthy volunteers received 25 g of CH in four different periods, coming from regular alcohol-free beer (RB), alcohol-free beer enriched with isomaltulose and a resistant maltodextrin (IMB), alcohol-free beer enriched with resistant maltodextrin (MB), and a glucose-based beverage. In the second study, 20 healthy volunteers were provided with 50 g of CH from white bread (WB) plus water, or with 14.3 g of CH coming from RB, IMB, MB, and extra WB. Blood was sampled after ingestion every 15 min for 2 h. Glucose, insulin, incretin hormones, TG, and NEFAs were determined in all samples.

resultsThe increase in glucose, insulin, and incretin hormones after the consumption of IMB and MB was significantly lower than after RB. The consumption of WB with IMB and MB showed significantly less increase in glucose levels than WB with water or WB with RB.

conclusionsThe consumption of an alcohol-free beer with modified CH composition led to a better postprandial response compared to a conventional alcohol-free beer.

Indexed as

BeerPostprandial PeriodBeveragesBreadCross-Over StudiesHumansInsulinInsulinalcohol-free beerglucose metabolismincretin hormonesinsulinpostprandial effect

Identifiers

PMID35268021
PMCPMC8912682

What OpenQuestion holds

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Registered trials

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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.