Trial reportSleep medicine2023
Evaluation of consensus sleep stage scoring of dysregulated sleep in Parkinson's disease.
Trial report in Sleep medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04620551 (Adaptive Neurostimulation to Restore Sleep in Parkinson's Disease), which is not on this map. Cited by 6 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.
Adaptive Neurostimulation to Restore Sleep in Parkinson's Disease: An Investigation of STN LFP Biomarkers in Sleep Dysregulation and Repair
Who cites it
6 citing papers in PubMed.
- Sleep macro-architecture in patients with Parkinson's disease does not change during the first night of neurostimulation in a pilot study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Trial
- Shared Spectral Parameters Between EEG and Basal Ganglia LFP Distinguish Sleep-Specific Oscillations in Parkinson's Disease.European journal of neurology · 2026Article
- Electrographic cue-reactivity co-localizes with accumbens deep brain stimulation in a case of opioid use disorder.Nature communications · 2026Article
- Polysomnography in Transition: Reassessing Its Role in the Future of Sleep Medicine.Journal of sleep research · 2025Review
- CAISR: achieving human-level performance in automated sleep analysis across all clinical sleep metrics.Sleep · 2025Article
- Sleep spindle variation in patients with Parkinson's disease on first nights of sub-optimal deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveSleep dysregulation in Parkinson's disease (PD) has been hypothesized to occur, in part, from dysfunction in the basal ganglia-cortical circuit. Assessment of this relationship requires accurate sleep stage determination, a known challenge in this clinical population. Our objective was to optimize the consensus on the sleep staging process and reduce interrater variability in a cohort of advanced PD subjects.
methodsFifteen PD subjects were enrolled from three sites in a clinical trial that involved recordings from subthalamic nucleus (STN) deep brain stimulation (DBS) leads (NCT04620551). Video polysomnography (vPSG) data for a total of 45 nights were analyzed. Four experienced scorers independently scored data on initial review. Epochs with less than 75% consensus were flagged for secondary review. In secondary review of discordant epochs, two of the original scorers re-assessed epochs, from which the final consensus stage was derived.
resultsSleep stage classification agreement averaged 83.10% across all sleep stages on initial scoring (IS), and on secondary consensus scoring (CS) review, agreement reached 96.58%. Greatest disagreement was noted in determination of awake epochs (33.6% of discordant epochs) and non-rapid-eye-movement stage 2 (N2) epochs (31.8% of discordant epochs). Scoring discrepancy was resolved with direct measurement of cortical frequency and amplitudes, physiologic context of the epoch, and video review.
conclusionOur method of multi-level initial and then secondary consensus review scoring resulted in consensus scoring agreement superior to conventional standards. This work features a custom-engineered vPSG software and review platform for integration of consensus sleep stage scoring in a multi-site clinical trial.
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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.