Evidence map›Paper›PMID 35038747›Full record

Observational studySleep2022

The diagnostic value of sleep and vigilance tests in central disorders of hypersomnolence.

Johannes Mathis, Daniel Andres, Wolfgang J Schmitt, Claudio L Bassetti, Christian W Hess, David R Schreier

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Boundary-Dependent Sleep-Wake Dysregulation in Idiopathic Hypersomnia.Annals of clinical and translational neurology · 2026
    Article
  2. Article
  3. Diagnostic challenges and burden of idiopathic hypersomnia: a systematic literature review.Sleep advances : a journal of the Sleep Research Society · 2024
    Article
  4. U-Sleep's resilience to AASM guidelines.NPJ digital medicine · 2023
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Johannes MathisDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-3422-2715
Daniel AndresDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0001-6301-1784
Wolfgang J SchmittUniversity Hospital of Psychiatry, University of Bern, Bern, Switzerland.ORCID 0000-0002-5587-6240
Claudio L BassettiDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-4535-0245
Christian W HessDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
David R SchreierDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0001-6088-2015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesThis retrospective cross-sectional observational study explored the diagnostic value of selected sleep and vigilance tests (SVT) beyond the multiple sleep latency test to differentiate between various central disorders of hypersomnolence (CDH) and fatigue syndromes.

methodsData from patients who underwent the multiple sleep latency test and at least one additional SVT were extracted from the Bern sleep database (1997-2018). One thousand three hundred fifty-two patients with a CDH (106 narcolepsy type 1, 90 narcolepsy type 2, 119 idiopathic hypersomnia, 192 nonorganic hypersomnia, 205 insufficient sleep syndrome), fatigue syndromes (n = 183), and a subgroup of patients with sleep apnea (n = 457) were analyzed. Classification based on SVT parameters was compared with the final clinical diagnosis serving as a reference.

resultsAn overall model predicted the final diagnosis in 49.5% of patients. However, for the pairwise differentiation of two clinically suspected diagnoses, many SVT parameters showed a sensitivity and specificity above 70%. While the overall discrimination power of the multiple sleep latency test was slightly better than the one of the maintenance of wakefulness test, the latter differentiated best between narcolepsy and idiopathic hypersomnia with prolonged sleep need. Disproportionally poor results in reaction tests (e.g. steer clear test), despite comparable or lower sleepiness levels (SLAT, WLAT), were valuable for differentiating nonorganic hypersomnia from idiopathic hypersomnia/sleep insufficiency syndrome.

conclusionThis study demonstrates how the combination of a careful clinical assessment and a selection of SVTs can improve the differentiation of CDH, whereas it was not possible to establish an overall prediction model based on SVTs alone.

Indexed as

Disorders of Excessive SomnolenceNarcolepsyCross-Sectional StudiesHumansRetrospective StudiesSleepWakefulnesshypersomnolenceidiopathic hypersomniamaintenance of wakefulness testmultiple sleep latency testnarcolepsynonorganic hypersomniavigilance tests

Identifiers

PMID35038747

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.