Evidence map›Paper›PMID 39067151›Full record

ArticleSleep medicine2024

Validation and performance of the sleep inertia questionnaire in central disorders of hypersomnolence.

Ee-Rah Sung, Caroline B Maness, Jesse D Cook, Ana Maria Vascan, Danielle Moron, Prabhjyot Saini, David B Rye, David T Plante, Lynn Marie Trotti

Abstract readValidation StudyMulticenter Study
In one paragraph

Article in Sleep medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. A minimal clinically important difference for the sleep inertia visual analog scale in idiopathic hypersomnia.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Trial
  2. Idiopathic hypersomnia is a 24-hour disorder.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Review
  3. Article
  4. Quantifying the sources of discrepancy between total recording time and total sleep time in home sleep apnea testing: insights from home-based polysomnography.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Observational
  5. 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

9 authors.

Ee-Rah SungEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA; Atlanta Veterans Affairs Medical Center, USA. Electronic address: eerah.sung@va.gov.
Caroline B ManessEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA.
Jesse D CookUniversity of Wisconsin-Madison, Department of Psychiatry, USA; University of Wisconsin-Madison, Department of Psychology, USA.
Ana Maria VascanUniversity of Wisconsin-Madison, Department of Psychiatry, USA.
Danielle MoronEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA.
Prabhjyot SainiEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA.
David B RyeEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA.
David T PlanteUniversity of Wisconsin-Madison, Department of Psychiatry, USA.
Lynn Marie TrottiEmory University School of Medicine, Department of Neurology and Emory Sleep Center, USA.

Funding

Antibiotic-mediated improvements in vigilance: mechanisms of action of clarithromycin in hypersomnia syndromesR01NS111280 · NINDS · EMORY UNIVERSITY · PI TROTTI, LYNN MARIE · 2019 to 2023
$2.2M
The Symptom Science of Excessive Daytime Sleepiness: A Multidimensional ApproachR21NR018288 · NINR · UNIVERSITY OF WISCONSIN-MADISON · PI PLANTE, DAVID T · 2019 to 2020
$426k
NINDS NIH HHS R01 NS111280NINR NIH HHS R21 NR018288
6 · The paper itself

Abstract

backgroundOptimal measurement tools for problematic sleep inertia, common in some central disorders of hypersomnolence (CDH), have not yet been determined. We evaluated the performance of the Sleep Inertia Questionnaire (SIQ) in CDH, and how well it distinguished hypersomnolent groups from controls, and IH (idiopathic hypersomnia) from narcolepsy type 1 (NT1).

methodsThis prospective, bi-centric study included 63 control, 84 IH, 16 NT1, 18 narcolepsy type 2 (NT2), and 88 subjective excessive daytime sleepiness (sEDS) participants, using ICSD-3 criteria. 126 (47.2 %) participants were on any medication at the time of SIQ completion. We assessed construct validity of SIQ scores, and sleep inertia duration (SID), and compared them across diagnoses, controlling for age and center. We derived cutpoints to distinguish hypersomnolent patients from controls and IH from NT1. Sensitivity analyses for depression, chronotype, and medication were performed.

resultsThe SIQ sum and composite score were significantly lower in controls than in other groups (p < 0.0001), demonstrating outstanding ability to distinguish patients from controls (AUCs 0.92), without differences among hypersomnolent groups. SID (AUC 0.76) was significantly shorter in controls than in all hypersomnolent groups except NT1, and was shorter in NT1 than in IH or sEDS. Optimal SIQ sum cutpoint was 42 (J = 0.71) for patients versus controls. Optimal SID cutpoint in distinguishing IH from NT1 was 25 min (J = 0.39).

conclusionThe SIQ has excellent ability to distinguish hypersomnolent patients from healthy controls, after controlling for depression, eveningness, and medication. SID is best at distinguishing IH from NT1.

Indexed as

Disorders of Excessive SomnolenceNarcolepsyAdultFemaleHumansIdiopathic HypersomniaMaleMiddle AgedProspective StudiesReproducibility of ResultsSurveys and QuestionnairesIdiopathic hypersomniaNarcolepsySleep inertia

Identifiers

PMID39067151
PMCPMC11340259

What OpenQuestion holds

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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.