Evidence map›Paper›PMID 35603913›Full record

SynthesisAddiction (Abingdon, England)2022

Validating transdermal alcohol biosensors: a meta-analysis of associations between blood/breath-based measures and transdermal alcohol sensor output.

Jiachen Yu, Catharine E Fairbairn, Laura Gurrieri, Eddie P Caumiant

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.8field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Drinking intention-behavior links vary by affect among heavy-drinking young adults: An ecological momentary assessment and transdermal sensor study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Novel medications for problematic alcohol use.The Journal of clinical investigation · 2024
    Review
  12. Article
  13. Article
  14. 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

4 authors at 1 institution in 1 country.

Jiachen YuUniversity of Illinois, Urbana-Champaign, IL, USA.ORCID 0000-0002-7731-0563
Catharine E FairbairnUniversity of Illinois, Urbana-Champaign, IL, USA.ORCID 0000-0002-2694-5585
Laura GurrieriUniversity of Illinois, Urbana-Champaign, IL, USA.ORCID 0000-0001-8382-7254
Eddie P CaumiantUniversity of Illinois, Urbana-Champaign, IL, USA.
University of Illinois Urbana-Champaign · US

Funding

Examining the Impact of Stress on the Emotionally Reinforcing Properties of Alcohol in Heavy Social Drinkers: A Multimodal Investigation Integrating Laboratory and Ambulatory MethodsR01AA025969 · NIAAA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Catharine Fairbairn · 2017 to 2026
$3.5M
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates from New-Generation Transdermal Technology using Large-Scale Human Testing and Machine Learning AlgorithmsR01AA028488 · NIAAA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Catharine Fairbairn · 2021 to 2026
$2.8M
NIAAA NIH HHS R01 AA025969NIAAA NIH HHS R01 AA028488
6 · The paper itself

Abstract

BACKGROUND AND

aimsTransdermal alcohol sensors carry immense promise for the continuous assessment of drinking but are inconsistent in detecting more fine-grained indicators of alcohol consumption. Prior studies examining associations between transdermal alcohol concentration (TAC) and blood/breath alcohol concentration (BAC) have yielded highly variable correlations and lag times. The current review aimed to synthesize transdermal validation studies, aggregating results from more than three decades of research to characterize the validity of transdermal sensors for assessing alcohol consumption.

methodsDatabases were searched for studies listed prior to 1 March 2022 that examined associations between transdermal alcohol sensor output and blood and breath-based alcohol measures, resulting in 31 primarily laboratory-derived participant samples (27 precise effect sizes) including both healthy and clinical populations. Correlation coefficients and lag times were pooled using three-level random-effects meta-regression. Independent raters coded study characteristics, including the body position of transdermal sensors (ankle- versus arm/hand/wrist-worn device) and methodological bias (e.g. missing data).

resultsAnalyses revealed that, in this primarily laboratory-derived sample of studies, the average correlation between TAC and BAC was large in magnitude [r = 0.87, 95% confidence interval (CI) = 0.80, 0.93], and TAC lagged behind BAC by an average of 95.90 minutes (95% CI = 55.50, 136.29). Device body position significantly moderated both TAC-BAC correlation (b = 0.11, P = 0.009) and lag time (b = -69.41, P < 0.001). Lag times for ankle-worn devices were approximately double those for arm/hand/wrist-worn devices, and TAC-BAC correlations also tended to be stronger for arm/hand/wrist-worn sensors.

conclusionsThis meta-analysis indicates that transdermal alcohol sensors perform strongly in assessing blood/breath alcohol concentration under controlled conditions, with particular promise for the newer generation of wrist-worn devices.

Indexed as

Alcohol DrinkingBiosensing TechniquesBlood Alcohol ContentBreath TestsEthanolHumansBlood Alcohol ContentEthanolAlcohol biosensorsblood alcohol concentrationbody locationmeta-analysistemporal sensitivitytransdermalvalidation

Identifiers

PMID35603913
PMCPMC9529851
OpenAlexW4281298199

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.