Evidence map›Paper›PMID 31755823›Full record

Trial reportJournal of medicinal food2020

Effect of a Snack Bar Optimized to Reduce Alcohol Bioavailability: A Randomized Controlled Clinical Trial in Healthy Individuals.

Joseph M Fisher, Thomas M S Wolever, Janice E Campbell, Adish Ezatagha, Jarvis C Noronha, Alexandra L Jenkins

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medicinal food, 2020. 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
0.2field-weighted citation impact, top 45% 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, 4 citations in OpenAlex.

  1. Trial
  2. 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

6 authors at 2 institutions in 2 countries.

Joseph M FisherZeno Functional Foods, LLC, Redwood City, California, USA.
Thomas M S WoleverINQUIS Clinical Research, Ltd., Toronto, Ontario, Canada.
Janice E CampbellINQUIS Clinical Research, Ltd., Toronto, Ontario, Canada.
Adish EzataghaINQUIS Clinical Research, Ltd., Toronto, Ontario, Canada.
Jarvis C NoronhaINQUIS Clinical Research, Ltd., Toronto, Ontario, Canada.
Alexandra L JenkinsINQUIS Clinical Research, Ltd., Toronto, Ontario, Canada.
Research Canada · CAFood & Nutrition · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol intoxication impairs judgment and reaction times and the level of blood alcohol concentration (BAC) is highly correlated with accidents and injury. We hypothesized that a food optimized to delay gastric emptying, a reduced alcohol bioavailability bar (RABB), would decrease postprandial BAC and alcohol bioavailability with greater caloric-efficiency than control foods. Therefore, we evaluated the RABB in a randomized, crossover trial in 21 overnight fasted healthy adults (10 male, 11 female). Just before consuming a moderate dose of alcohol (0.3-0.35 g/kg body weight), participants ate either (1) no food (NF, 0 kcal), (2) the RABB (210 kcal), (3) a savory snack mix (SSM, 210 kcal), or (4) a multicomponent meal (MCM, 635 kcal) and their BAC was measured over 90 minutes using a breathalyzer, the primary endpoint being peak BAC (pBAC). pBACs were analyzed by repeated measures analysis of variance (ANOVA) (

Indexed as

SnacksAdultAlcohol DrinkingAlcoholic BeveragesAlcoholic IntoxicationBlood Alcohol ContentCross-Over StudiesEnergy IntakeEthanolFemaleGastric EmptyingHumansMaleMiddle AgedPostprandial PeriodBlood Alcohol ContentEthanolBACbinge drinkingfirst pass metabolismfoodgastric emptyingintoxicationprotein

Identifiers

PMID31755823
PMCPMC7185312
OpenAlexW2991440336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.