ArticleJournal of sleep research2024
Multicentre sleep-stage scoring agreement in the Sleep Revolution project.
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. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 18 papers.
What it found
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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.
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.
Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram
Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Automated deep learning-based arousal detection agrees with ten expert scorers in unseen data.Sleep · 2026Article
- The Potential of Ensemble-Based Automated Sleep Staging on Single-Channel EEG Signal From a Wearable Device.Journal of sleep research · 2026Article
- Analysis of Interrater Reliability and Interpretive Discrepancies in Polysomnography Scoring Across Clinical Subgroups.Life (Basel, Switzerland) · 2026Article
- World of ScoreCraft: Novel Multi-Scorer Experiment on the Impact of a Decision Support System in Sleep Staging.Journal of sleep research · 2026Article
- Automated sleep stage and event detection algorithms using quality-controlled polysomnography annotations.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Temporally Continuous Automated Sleep-Wake Classification Using Deep Learning.medRxiv : the preprint server for health sciences · 2025Article
- Polysomnography in Transition: Reassessing Its Role in the Future of Sleep Medicine.Journal of sleep research · 2025Review
- Validation of manually scored multichannel frontal electroencephalography against polysomnography in a paediatric cohort.Journal of sleep research · 2025Article
- Article
- Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.Scientific reports · 2025Article
- Retrospective validation of automatic sleep analysis with grey areas model for human-in-the-loop scoring approach.Journal of sleep research · 2025Article
- Temporal and sleep stage-dependent agreement in manual scoring of respiratory events.Journal of sleep research · 2025Article
- Arousal burden is highest in supine sleeping position and during light sleep.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Longitudinal, EEG-based assessment of sleep in people with epilepsy: An automated sleep staging algorithm non-inferior to human raters.Clinical neurophysiology practice · 2025Article
- Sleep stage continuity is associated with objective daytime sleepiness in patients with suspected obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Multicentre sleep-stage scoring agreement in the Sleep Revolution project.Journal of sleep research · 2024Article
- Common sleep data pipeline for combined data sets.PloS one · 2024Review
- An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight.Frontiers in neuroinformatics · 2024Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
Abstract
Determining sleep stages accurately is an important part of the diagnostic process for numerous sleep disorders. However, as the sleep stage scoring is done manually following visual scoring rules there can be considerable variation in the sleep staging between different scorers. Thus, this study aimed to comprehensively evaluate the inter-rater agreement in sleep staging. A total of 50 polysomnography recordings were manually scored by 10 independent scorers from seven different sleep centres. We used the 10 scorings to calculate a majority score by taking the sleep stage that was the most scored stage for each epoch. The overall agreement for sleep staging was κ = 0.71 and the mean agreement with the majority score was 0.86. The scorers were in perfect agreement in 48% of all scored epochs. The agreement was highest in rapid eye movement sleep (κ = 0.86) and lowest in N1 sleep (κ = 0.41). The agreement with the majority scoring varied between the scorers from 81% to 91%, with large variations between the scorers in sleep stage-specific agreements. Scorers from the same sleep centres had the highest pairwise agreements at κ = 0.79, κ = 0.85, and κ = 0.78, while the lowest pairwise agreement between the scorers was κ = 0.58. We also found a moderate negative correlation between sleep staging agreement and the apnea-hypopnea index, as well as the rate of sleep stage transitions. In conclusion, although the overall agreement was high, several areas of low agreement were also found, mainly between non-rapid eye movement stages.
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Registered trials
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.