Evidence map›Paper›PMID 29233567›Full record

ArticleAddictive behaviors2018

Obtaining continuous BrAC/BAC estimates in the field: A hybrid system integrating transdermal alcohol biosensor, Intellidrink smartphone app, and BrAC Estimator software tools.

Susan E Luczak, Ashley L Hawkins, Zheng Dai, Raphael Wichmann, Chunming Wang, I Gary Rosen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Assessment of Alcohol Use in the Natural Environment.Alcoholism, clinical and experimental research · 2019
    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.

Susan E LuczakDepartment of Psychology, University of Southern California, Los Angeles, CA 90089-1061, USA. Electronic address: luczak@usc.edu.
Ashley L HawkinsDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089-2532, USA. Electronic address: alhawkin@usc.edu.
Zheng DaiDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089-2532, USA. Electronic address: zhengdai@usc.edu.
Raphael WichmannOeverseestrasse 10, 22769 Hamburg, Germany. Electronic address: mail@rwichmann.com.
Chunming WangDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089-2532, USA. Electronic address: cwang@usc.edu.
I Gary RosenDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089-2532, USA. Electronic address: grosen@math.usc.edu.
University of Southern California · USBeiersdorf (Germany) · DE

Funding

Real-Time Assessment of Alcohol Use Across ALDH2 GenotypesR21AA017711 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LUCZAK, SUSAN E · 2009 to 2010
$410k
NIAAA NIH HHS R21 AA017711
6 · The paper itself

Abstract

Biosensors have been developed to measure transdermal alcohol concentration (TAC), but converting TAC into interpretable indices of blood/breath alcohol concentration (BAC/BrAC) is difficult because of variations that occur in TAC across individuals, drinking episodes, and devices. We have developed mathematical models and the BrAC Estimator software for calibrating and inverting TAC into quantifiable BrAC estimates (eBrAC). The calibration protocol to determine the individualized parameters for a specific individual wearing a specific device requires a drinking session in which BrAC and TAC measurements are obtained simultaneously. This calibration protocol was originally conducted in the laboratory with breath analyzers used to produce the BrAC data. Here we develop and test an alternative calibration protocol using drinking diary data collected in the field with the smartphone app Intellidrink to produce the BrAC calibration data. We compared BrAC Estimator software results for 11 drinking episodes collected by an expert user when using Intellidrink versus breath analyzer measurements as BrAC calibration data. Inversion phase results indicated the Intellidrink calibration protocol produced similar eBrAC curves and captured peak eBrAC to within 0.0003%, time of peak eBrAC to within 18min, and area under the eBrAC curve to within 0.025% alcohol-hours as the breath analyzer calibration protocol. This study provides evidence that drinking diary data can be used in place of breath analyzer data in the BrAC Estimator software calibration procedure, which can reduce participant and researcher burden and expand the potential software user pool beyond researchers studying participants who can drink in the laboratory.

Indexed as

Blood Alcohol ContentMobile ApplicationsAdultAlcohol DrinkingBiosensing TechniquesBreath TestsFemaleHumansMaleReproducibility of ResultsSkinSmartphoneSoftwareTime FactorsBlood Alcohol ContentAlcohol biosensorDrinking diaryEcological momentary assessmentEstimated breath alcohol concentrationSmartphone appTransdermal alcohol concentration

Identifiers

PMID29233567
PMCPMC6022751
OpenAlexW2772364630

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.