ArticleFrontiers in neuroscience2022
Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 22 papers, 1 of them a synthesis that pooled 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.
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.
Evaluation of the Correlation Between the Respiratory Index Events Generated by Sunrise® Versus Polysomnography for Sleep Apnea Syndrome Diagnosis
Sunrise in Obstructive Sleep Apnoea Study (SOSA) A Comparison of the Sunrise Mandibular Movement Monitoring Device With Overnight Oximetry and WatchPAT in the Diagnosis and Management of Obstructive Sleep Apnoea.
Treatment Failure of Continuous Positive Airway Pressure (CPAP) in Patients With Obstructive Sleep Apnea Syndrome (OSA): A Randomized Controlled Trial Comparing Polysomnography and the Sunrise Device to Drive Treatment-Adjustment Decisions.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Home-testing devices for diagnosing obstructive sleep apnoea hypopnoea syndrome - a systematic review and economic evaluation.Health technology assessment (Winchester, England) · 2026Pooled it
- Mandibular movement monitor provides faster, yet accurate diagnosis for obstructive sleep apnoea: A randomised controlled study.Clinical medicine (London, England) · 2024Trial
- Mandibular Movement Monitoring in Children With Neurodisability.Pediatric pulmonology · 2026Article
- Time to diagnosis and treatment of obstructive sleep apnoea using mandibular jaw movement monitoring versus polysomnography: an open-label, multicentre, randomised, controlled trial.The Lancet regional health. Europe · 2026Article
- Article
- Proposition of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity.Sleep & breathing = Schlaf & Atmung · 2025Observational
- Assessment of Craniofacial Growth Pattern Relative to Respiratory Mandibular Movement and Sleep Characteristics: A Pilot Study.European journal of dentistry · 2025Article
- The complexity of employing "optimal AHI/RDI cutoffs" in assessing the performance of OSA-detecting wearables.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Diagnostic Modalities in Sleep Disordered Breathing: Current and Emerging Technology and Its Potential to Transform Diagnostics.Respirology (Carlton, Vic.) · 2025Review
- Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2025Article
- Responses to questions about Sunrise in the review on OSA wearables by Chiang et al.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Redefining telemedicine in obstructive sleep apnea management through artificial intelligence.Frontiers in sleep · 2025Article
- OSA diagnosis goes wearable: are the latest devices ready to shine?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Review
- The Future of Telemedicine for Obstructive Sleep Apnea Treatment: A Narrative Review.Journal of clinical medicine · 2024Review
- Mandibular Jaw Movement Automated Analysis for Oral Appliance Monitoring in Obstructive Sleep Apnea: A Prospective Cohort Study.Annals of the American Thoracic Society · 2024Observational
- Clinical Phenotypes Supporting the Relationship Between Sleep Disturbance and Impairment of Placebo Effects.The journal of pain · 2024Article
- Validation of a Wearable Medical Device for Automatic Diagnosis of OSA against Standard PSG.Journal of clinical medicine · 2024Article
- Insights on mandibular jaw movements during polysomnography in obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Artificial intelligence in sleep medicine: Present and future.World journal of clinical cases · 2023Review
- Perspective: A resident's role in promoting safe machine-learning tools in sleep medicine.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The capacity to diagnose obstructive sleep apnoea (OSA) must be expanded to meet an estimated disease burden of nearly one billion people worldwide. Validated alternatives to the gold standard polysomnography (PSG) will improve access to testing and treatment. This study aimed to evaluate the diagnosis of OSA, using measurements of mandibular movement (MM) combined with automated machine learning analysis, compared to in-home PSG. Methods: 40 suspected OSA patients underwent single overnight in-home sleep testing with PSG (Nox A1, ResMed, Australia) and simultaneous MM monitoring (Sunrise, Sunrise SA, Belgium). PSG recordings were manually analysed by two expert sleep centres (Grenoble and London); MM analysis was automated. The Obstructive Respiratory Disturbance Index calculated from the MM monitoring (MM-ORDI) was compared to the PSG (PSG-ORDI) using intraclass correlation coefficient and Bland-Altman analysis. Receiver operating characteristic curves (ROC) were constructed to optimise the diagnostic performance of the MM monitor at different PSG-ORDI thresholds (5, 15, and 30 events/hour). Results: 31 patients were included in the analysis (58% men; mean (SD) age: 48 (15) years; BMI: 30.4 (7.6) kg/m Conclusion: The diagnosis of OSA, using MM with machine learning analysis, is comparable to manually scored in-home PSG. Therefore, this novel monitor could be a convenient diagnostic tool that can easily be used in the patients' own home. Clinical Trial Registration: https://clinicaltrials.gov, identifier NCT04262557.
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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.