Evidence map›Paper›PMID 38606675›Full record

ArticleJournal of sleep research2024

Technical challenges in REM sleep microstructure classification: A study of patients with REM sleep behaviour disorder.

C William Yao, Giuseppe Fiamingo, Karine Lacourse, Sonia Frenette, Ronald B Postuma, Jacques Y Montplaisir, Jean-Marc Lina, Julie Carrier

Abstract read
In one paragraph

Article in Journal of sleep research, 2024. 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

8 authors.

C William YaoPsychology Department, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0002-7234-7375
Giuseppe FiamingoCenter for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.ORCID 0000-0002-5030-6425
Karine LacourseCenter for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.ORCID 0000-0001-8488-7312
Sonia FrenettePsychology Department, Université de Montréal, Montréal, Québec, Canada.ORCID 0009-0003-9486-129X
Ronald B PostumaCenter for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.ORCID 0000-0002-6468-4734
Jacques Y MontplaisirCenter for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.ORCID 0000-0002-5585-9811
Jean-Marc LinaCenter for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.ORCID 0000-0003-3600-601X
Julie CarrierPsychology Department, Université de Montréal, Montréal, Québec, Canada.ORCID 0000-0001-5311-2370

Funding

Fonds de Recherche du Québec - SantéGarfield Weston FoundationMichael J. Fox Foundation for Parkinson's Research 15989Natural Sciences and Engineering Research Council of CanadaR. Howard Webster FoundationThe Parkinson Society of Canada
6 · The paper itself

Abstract

While commonly treated as a uniform state in practice, rapid eye movement sleep contains two distinct microstructures-phasic (presence of rapid eye movement) and tonic (no rapid eye movement). This study aims to identify technical challenges during rapid eye movement sleep microstructure visual classification in patients with rapid eye movement sleep behaviour disorder, and to propose solutions to enhance reliability between scorers. Fifty-seven sleep recordings were randomly allocated into three subsequent batches (n = 10, 13 and 34) for scoring. To reduce single-centre bias, we recruited three raters/scorers, with each trained from a different institution. Two raters independently scored each 30-s rapid eye movement sleep into 10 × fSEM3-s phasic/tonic microstructures based on the AASM guidelines. The third rater acted as an "arbitrator" to resolve opposite opinions persisting during the revision between batches. Besides interrater differences in artefact rejection rate, interrater variance frequently occurred due to transitioning between microstructures and moderate-to-severe muscular/electrode artefact interference. To enhance interrater agreement, a rapid eye movement scoring schematic graph was developed, incorporating proxy electrode use, filters and cut-offs for microstructure transitioning. To assess potential effectiveness of the schematic graph proposed, raters were instructed to systematically apply it in scoring for the third batch. Of the 34 recordings, 27 reached a Cohen's kappa score above 0.8 (i.e. almost perfect agreement between raters), significantly improved from the prior batches (p = 0.0003, Kruskal-Wallis test). Our study illustrated potential solutions and guidance for challenges that may be encountered during rapid eye movement sleep microstructure classification.

Indexed as

PolysomnographyREM Sleep Behavior DisorderSleep, REMAdultArtifactsElectroencephalographyFemaleHumansMaleMiddle AgedReproducibility of Resultsrapid eye movementrapid eye movement sleep disorderrapid eye movement sleep microstructuresscoring

Identifiers

PMID38606675
PMCPMC11597017

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.