Evidence map›Paper›PMID 35567595›Full record

ArticleAlcoholism, clinical and experimental research2022

Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field-based setting.

Garrett I Ash, Ralitza Gueorguieva, Nancy P Barnett, Wuyi Wang, David S Robledo, Kelly S DeMartini, Brian Pittman, Nancy S Redeker, Stephanie S O'Malley, Lisa M Fucito

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 20 citations in OpenAlex.

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  14. Accuracy of transdermal alcohol monitoring devices in a laboratory setting.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024
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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

10 authors at 4 institutions in 1 country.

Garrett I AshYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-8655-7525
Ralitza GueorguievaYale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-0944-5973
Nancy P BarnettBrown School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0001-9634-8287
Wuyi WangYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-7179-4416
David S RobledoYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-1548-1989
Kelly S DeMartiniYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-0943-2507
Brian PittmanYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-0353-5604
Nancy S RedekerYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-7817-2708
Stephanie S O'MalleyYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-0988-5522
Lisa M FucitoYale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-9410-2830
Yale University · USRhode Island Department of Health · USYale New Haven Health System · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
DEVELOPMENT OF A MULTIMODAL MOBILE SLEEP INTERVENTION USING WEARABLE TECHNOLOGY TO REDUCE HEAVY DRINKING IN YOUNG ADULTSR34AA026021 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2018 to 2020
$753k
A photoplethysmography sensor-based personalized feedback intervention for heavy-drinking young adults targeting heart rate variability, resting heart rate, and sleepR21AA028886 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2021 to 2022
$386k
NCATS NIH HHS UL1 TR000142NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R21 AA028886NIAAA NIH HHS R34 AA026021
6 · The paper itself

Abstract

backgroundThere is a need for novel alcohol biosensors that are accurate, able to detect alcohol concentration close in time to consumption, and feasible and acceptable for many clinical and research applications. We evaluated the field accuracy and tolerability of novel (BACTrack Skyn) and established (Alcohol Monitoring Systems SCRAM CAM) alcohol biosensors.

methodsThe sensor and diary data were collected in a larger study of a biofeedback intervention and compared observationally in the present sub-study. Participants (high-risk drinkers, 40% female; median age 21) wore both Skyn and SCRAM CAM sensors for 1-6 days and were instructed to drink as usual. Data from the first cohort of participants (N = 27; 101 person-days) were used to find threshold values of transdermal alcohol that classified each day as meeting or not meeting defined levels of drinking (heavy, above-moderate, any). These values were used to develop scoring metrics that were subsequently tested using the second cohort (N = 20; 57 person-days). Data from both biosensors were compared to mobile diary self-report to evaluate sensitivity and specificity in relation to a priori standards established in the literature.

resultsSkyn classification rules for Cohort #1 within 3 months of device shipment showed excellent sensitivity for heavy drinking (94%) and exceeded expectations for above-moderate and any drinking (78% and 69%, respectively), while specificity met expectations (91%). However, classification worsened when Cohort #1 devices ≥3 months from shipment were tested (area under curve for receiver operator characteristic 0.87 vs. 0.79) and the derived classification threshold when applied to Cohort #2 was inadequately specific (70%). Skyn tolerability metrics were excellent and exceeded the SCRAM CAM (p ≤ 0.001).

conclusionsSkyn tolerability was favorable and accuracy rules were internally derivable but did not yield useful scoring metrics going forward across device lots and months of usage.

Indexed as

Alcohol DrinkingBiosensing TechniquesAdultEthanolFemaleHumansMaleMonitoring, PhysiologicSelf ReportYoung AdultEthanolalcohol usebiosensorsself-monitoringtransdermal alcohol sensorswearable alcohol sensors

Identifiers

PMID35567595
PMCPMC9179100
OpenAlexW4280494790

What OpenQuestion holds

Textmetadata
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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.