Evidence map›Paper›PMID 38954525›Full record

Trial reportSleep2024

Novel biomarkers derived from the Maintenance of Wakefulness Test as predictors of sleepiness and response to treatment.

Brian Tracey, Mark Culp, Stephan Fabregas, Emmanuel Mignot, Derek L Buhl, Dmitri Volfson

Abstract readClinical Trial, Phase IRandomized Controlled Trial
In one paragraph

Trial report in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Review
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brian TraceyStatistical and Quantitative Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Mark CulpStat Tenacity, LLC, Saline, MI, USA.
Stephan FabregasSignal Insights, LLC, Cambridge, MA, USA.
Emmanuel MignotStanford Department of Psychiatry and Behavioral Sciences, Center for Sleep Sciences and Medicine, Stanford University Medical School, Palo Alto, CA, USA.ORCID 0000-0002-6928-5310
Derek L BuhlStatistical and Quantitative Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Dmitri VolfsonStatistical and Quantitative Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.

Funding

Takeda Pharmaceutical Company
6 · The paper itself

Abstract

The Maintenance of Wakefulness Test (MWT) is a widely accepted objective test used to evaluate daytime somnolence and is commonly used in clinical studies evaluating novel therapeutics for excessive daytime sleepiness. In the latter, sleep onset latency (SOL) is typically the sole MWT endpoint. Here, we explored microsleeps, sleep probability measures derived from automated sleep scoring, and quantitative electroencephalography (qEEG) features as additional MWT biomarkers of daytime sleepiness, using data from a phase 1B trial of the selective orexin receptor 2 agonist danavorexton (TAK-925) in people with narcolepsy type 1 (NT1) or type 2 (NT2). Danavorexton treatment reduced the rate and duration of microsleeps during the MWT in NT1 (days 1 and 7; p ≤ .005) and microsleep rate in NT2 (days 1 and 7; p < .0001). The use of an EEG-sleep-staging - derived measure to determine the probability of wakefulness for each minute revealed a novel metric to track changes in daytime sleepiness, which were consistent with the θ/α ratio, a known biomarker of drowsiness. The slopes of line-fits to both the log-transformed sleepiness score or log-transformed θ/α ratio correlated well to (inverse) MWT SOL for NT1 (R = 0.93 and R = 0.83, respectively) and NT2 (R = 0.97 and R = 0.84, respectively), suggesting that individuals with narcolepsy have increased sleepiness immediately after lights-off. These analyses demonstrate that novel EEG-based biomarkers can augment SOL as predictors of sleepiness and its response to treatment and provide a novel framework for the analysis of wake EEG in hypersomnia disorders.

Indexed as

BiomarkersNarcolepsyWakefulnessAdultDisorders of Excessive SomnolenceElectroencephalographyFemaleHumansMaleMiddle AgedPolysomnographySleepinessSleep LatencySleep StagesBiomarkersdanavorextonexcessive daytime sleepinesshypnodensitymaintenance of wakefulnessMWTnarcolepsyorexinqEEGsleep onset latencyTAK-925

Identifiers

PMID38954525
PMCPMC11632192

What OpenQuestion holds

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LicenceCC BY
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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.