Evidence map›Paper›PMID 40631564›Full record

ArticleJournal of sleep research2026

Wake EEG and Sleep Hypoxemia Predicts Poor Driving and Vigilance Following Extended Wakefulness in People With OSA.

Andrew Vakulin, Garry Cho, David Stevens, Nathaniel S Marshall, Hannah Openshaw, Delwyn J Bartlett, Caroline D Rae, Keith K H Wong, R Doug McEvoy, Ronald R Grunstein and 1 more

Abstract read
In one paragraph

Article in Journal of sleep research, 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. Article
  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

11 authors.

Andrew VakulinFlinders Health and Medical Research Institute, Sleep Health/Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.ORCID 0000-0002-3919-1313
Garry ChoSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.
David StevensFlinders Health and Medical Research Institute, Sleep Health/Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Nathaniel S MarshallSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.ORCID 0000-0002-9014-1397
Hannah OpenshawSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.
Delwyn J BartlettSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.
Caroline D RaeNeuroscience Research Australia, Sydney, Australia.
Keith K H WongSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.
R Doug McEvoyFlinders Health and Medical Research Institute, Sleep Health/Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Ronald R GrunsteinSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.
Angela L D'RozarioSleep and Circadian Research Group (CIRUS), Woolcock Institute of Medical Research, Sydney, Australia.ORCID 0000-0001-8564-796X

Funding

National Health and Medical Research Council GNT1028624
6 · The paper itself

Abstract

Obstructive sleep apnoea (OSA) is a highly prevalent but heterogeneous condition which makes identifying patients at risk of vigilance and driving impairment clinically challenging. Resting wake electroencephalography (EEG) is associated with vigilance performance in healthy participants. We examined if rested wake EEG predicted vigilance and driving impairment in OSA following extended wakefulness. Fifty-four patients underwent baseline polysomnography and 28-h extended wakefulness, repeated vigilance assessments (psychomotor vigilance task (PVT), driving simulator) and resting wake EEG (Karolinska drowsiness test). Cluster analysis assigned patients into groups of either resistant (n = 38) or vulnerable (n = 16) to vigilance failure based on PVT and driving performance following extended wakefulness. Backward stepwise regression models and receiver operator characteristics curves were used to determine the strongest clinical and wake EEG predictors of vigilance impairment. The vulnerable OSA group showed impaired PVT and driving performance relative to the resistant group (p < 0.01). Compared with resistant patients, the vulnerable group exhibited increased delta (p < 0.001) and theta (p = 0.003) EEG power across extended wake. Significant predictors of vigilance impairment were (1) baseline wake EEG theta and O

Indexed as

ArousalAutomobile DrivingElectroencephalographyHypoxiaSleep Apnea, ObstructiveWakefulnessAdultFemaleHumansMaleMiddle AgedPolysomnographyPsychomotor Performancealertnessalertness failureEEG slowingpower spectral analysissleep‐disordered breathing

Identifiers

PMID40631564
PMCPMC12856125

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.