Evidence map›Paper›PMID 33713037›Full record

ArticleDrug and alcohol review2021

Effects of stomach content on the breath alcohol concentration-transdermal alcohol concentration relationship.

Emily B Saldich, Chunming Wang, I Gary Rosen, Jay Bartroff, Susan E Luczak

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Emily B SaldichDepartment of Psychology, University of Southern California, Los Angeles, USA.
Chunming WangDepartment of Mathematics, University of Southern California, Los Angeles, USA.
I Gary RosenDepartment of Mathematics, University of Southern California, Los Angeles, USA.
Jay BartroffDepartment of Mathematics, University of Southern California, Los Angeles, USA.
Susan E LuczakDepartment of Psychology, University of Southern California, Los Angeles, USA.ORCID 0000-0002-6654-4014
University of Southern California · US

Funding

Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine-Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor DataR01AA026368 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LUCZAK, SUSAN E, ROSEN, GARY · 2018 to 2022
$2.8M
NIAAA NIH HHS R01 AA026368
6 · The paper itself

Abstract

introductionWearable devices that obtain transdermal alcohol concentration (TAC) could become valuable research tools for monitoring alcohol consumption levels in naturalistic environments if the TAC they produce could be converted into quantitatively-meaningful estimates of breath alcohol concentration (eBrAC). Our team has developed mathematical models to produce eBrAC from TAC, but it is not yet clear how a variety of factors affect the accuracy of the models. Stomach content is one factor that is known to affect breath alcohol concentration (BrAC), but its effect on the BrAC-TAC relationship has not yet been studied.

methodsWe examine the BrAC-TAC relationship by having two investigators participate in four laboratory drinking sessions with varied stomach content conditions: (i) no meal, (ii) half and (iii) full meal before drinking, and (iv) full meal after drinking. BrAC and TAC were obtained every 10 min over the BrAC curve.

resultsEating before drinking lowered BrAC and TAC levels, with greater variability in TAC across person-device pairings, but the BrAC-TAC relationship was not consistently altered by stomach content. The mathematical model calibration parameters, fit indices, and eBrAC curves and summary score outputs did not consistently vary based on stomach content, indicating that our models were able to produce eBrAC from TAC with similar accuracy despite variations in the shape and magnitude of the BrAC curves under different conditions. DISCUSSION AND

conclusionsThis study represents the first examination of how stomach content affects our ability to model estimates of BrAC from TAC and indicates it is not a major factor.

Indexed as

Alcohol DrinkingGastrointestinal ContentsBreath TestsEthanolHumansEthanolalcohol biosensorbreath alcohol concentration estimationreal-time assessmentstomach contenttransdermal alcohol concentration

Identifiers

PMID33713037
PMCPMC8848829
OpenAlexW3133940605

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.