Evidence map›Paper›PMID 42159425›Full record

ArticleAddiction (Abingdon, England)2026

Predictive value of real-time memory tests in identifying alcohol-induced blackouts in situ.

Mary Beth Miller, Sydney D Shoemaker, Lindsey K Freeman, Ashley F Curtis, Jennifer E Merrill, Edgar C Merkle

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. 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
–field-weighted citation impact
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.

  1. Observational
  2. 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

6 authors.

Mary Beth MillerDepartment of Psychiatry, University of Missouri, Columbia, MO, USA.ORCID https://orcid.org/0000-0003-0624-1414
Sydney D ShoemakerDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.ORCID https://orcid.org/0000-0002-4286-7070
Lindsey K FreemanDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.
Ashley F CurtisCollege of Nursing, University of South Florida, Tampa, FL, USA.ORCID https://orcid.org/0000-0002-2311-5674
Jennifer E MerrillCenter for Alcohol and Addiction Studies, Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0002-8310-140X
Edgar C MerkleDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.

Funding

Psychology of Alcohol Use and Dependence TrainingT32AA013526 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DENIS M MCCARTHY, KENNETH JAMES SHER · 2002 to 2026
$9.0M
The Impact of Insomnia Treatment on Heavy Alcohol Use among Returning VeteransK23AA026895 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MILLER, MARY ELIZABETH · 2019 to 2023
$896k
NIAAA NIH HHS K23 AA026895NIAAA NIH HHS T32 AA013526University of Missouri Center for Addiction Research and Engagement (MO-CARE)
6 · The paper itself

Abstract

BACKGROUND AND

aimsMemory loss from alcohol use ('blackout') is a prevalent and costly indicator of substance-related harm. While alcohol-induced blackouts can be assessed retrospectively via self-report, no tool exists to identify blackouts objectively in real time, hindering progress in research as well as intervention efforts. This study tested the feasibility and diagnostic accuracy of real-time memory tasks in identifying alcohol-induced blackouts in situ.

designProspective diagnostic study.

settingUnited States.

participantsYoung adults (18-30 years of age; n = 63) reporting recurrent memory loss as a result of alcohol use were recruited from across the United States between December 2022 and January 2024. MEASUREMENTS: Participants completed a baseline survey and orientation interview, followed by 30 days of ecological momentary assessments (EMA). EMA included recall and recognition tests for visual stimuli during drinking events (index tests) and subsequent self-reports of blackout (reference standard). At the end of the protocol, participants also completed a Timeline Followback interview of blackout events during the assessment period. Primary outcomes, which were specified prior to data collection, were (a) feasibility of memory task completion during drinking events and (b) diagnostic accuracy of memory tasks in identifying blackout at the event level. Data were analyzed using Bayesian logistic multilevel models.

findingsOf the 63 participants included [mean age = 23.2, standard deviation (SD) = 3.3; 78% female, 51% White], 38 (60%) self-reported a blackout during the assessment protocol. On average, participants completed 85% of memory tests prompted (SD = 16.42). Within days, both greater-than-average number of drinks [odds ratio (OR) = 1.74; 95% confidence interval (CI) = 1.41-2.19] and failure of 1 + recall memory test (OR = 15.53; 95% CI = 5.96-36.27) were associated with increased odds of blackout. In model-predicted probabilities, blackout probability was ~0.01 if a person consumed their average number of drinks, ~0.21 if they had five more drinks than average and ~0.34 if they failed 1 + recall test. Participants self-reported blackout on 39% of the days that they failed 1 + recall memory test (positive predictive value; 95% CI = 30-49); however, they reported not having a blackout on 92% of days that they correctly recalled all memory tests (negative predictive value; 95% CI = 89-95).

conclusionsObjective measures of alcohol-induced blackout can be implemented in real-life contexts. Failing a visual memory test while intoxicated is not necessarily indicative of blackout; however, correct recall indicates that blackout is highly unlikely.

Indexed as

Alcohol DrinkingMemory DisordersAdolescentAdultEcological Momentary AssessmentFeasibility StudiesFemaleHumansMaleMental RecallPredictive Value of TestsProspective StudiesSelf ReportUnited StatesYoung Adultassessmentblackoutscollegediagnosticdrinkinglegalmemory

Identifiers

PMID42159425
PMCPMC13357648

What OpenQuestion holds

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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.