Evidence map›Paper›PMID 40612400›Full record

ArticleSleep science and practice2025

Predicting subjective sleepiness during auditory cognitive testing using voice signaling analysis.

Tue T Te, Mary Regina Boland, Sara Ghadimi, Joseph M Dzierzewski, Cathy Alessi, Jennifer L Martin, Sarah Kremen, Alex A T Bui, Arash Naeim, Constance H Fung

Abstract read
In one paragraph

Article in Sleep science and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Unraveling the Effects ofInternational journal of molecular sciences · 2025
    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

10 authors.

Tue T TeDepartment of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.
Mary Regina Boland *Department of Mathematics, Herbert W. Boyer School of Natural Sciences, Mathematics, and Computing, Alex G McKenna School of Business, Economics and Government, Saint Vincent College, 300 Fraser Purchase Rd, Latrobe, PA 15650 USA.
Sara GhadimiGeriatric, Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, 16111 Plummer Street (11E), North Hills, Los Angeles, CA 91343 USA.
Joseph M DzierzewskiNational Sleep Foundation, 2001 Massachusetts Ave NW, Washington, DC 20036 USA.
Cathy AlessiDepartment of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.
Jennifer L MartinDepartment of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.
Sarah KremenDepartment of Neurology, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd, A6600, Los Angeles, CA 90048 USA.
Alex A T BuiMedical & Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine at University of California, 924 Westwood Blvd, Suite 420, Los Angeles, CA 90024 USA.
Arash NaeimDepartment of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.
Constance H Fung *Department of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To determine whether objective markers of sleepiness can be collected passively using voice data to detect sleepiness in individuals undergoing testing in situations where sleepiness is not the focal point of assessment. We assessed verbal reaction time (VRT) as a vocalic marker of subjective sleepiness in middle aged and older adults with history of insomnia and benzodiazepine-receptor-agonist (BZRA) use. Methods: Adults aged ≥55 without a diagnosis of dementia were recruited from a BZRA deprescribing clinical trial and enrolled in the present study that tested the feasibility of cognitive testing using out-of-office, self-directed mobile apps. Participants' working/episodic memory were assessed through recorded verbal responses to Verbal Paired Associates (VPA) tests, and ecological momentary assessments (EMA) of self-reported sleepiness (1[not at all] to 4[more prominent]). Using a generalized additive model, we examined the association between VRT during VPA testing and self-reported sleepiness, adjusting for demographic, test parameters, caffeine intake, cognition, mood, and BZRA-use ( Results: We analyzed 1,513 observations from 16 patients. VRT was operationalized as the time duration between recording start time and first speech epoch. Longer VRTs were positively associated with greater EMA sleepiness ( Conclusions: Longer VRTs correlated with greater self-reported sleepiness, indicating that voice data can be used as a marker of sleepiness in patients undergoing cognitive testing in out-of-office settings. Supplementary Information: The online version contains supplementary material available at 10.1186/s41606-025-00141-y.

Identifiers

PMID40612400
PMCPMC12213935

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Registered trials

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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.