ArticleAmerican journal of respiratory and critical care medicine2017
Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.
Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Current role of artificial intelligence and machine learning: is their application feasible in pediatric upper airway obstructive disorders?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Pooled it
- Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta-analysis.Pediatric pulmonology · 2022Pooled it
- Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpOMeasurement : journal of the International Measurement Confederation · 2026Article
- Automated diagnostic method for sleep apnea and hypopnea using overnight airflow and oxygen saturation.MethodsX · 2025Article
- Nocturnal blood pressure burden: towards a better understanding of the OSA-hypertension relationship.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Artificial intelligence based platform for the automatic and simultaneous explainable detection of apnoea, oxygen desaturation, and artefacts in paediatric polygraphy exams (REST).Scientific reports · 2025Article
- ERS Congress 2024: highlights from the Paediatrics Assembly.ERJ open research · 2025Article
- SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.IEEE journal of biomedical and health informatics · 2025Article
- Ambulatory pediatric adenotonsillectomy.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Review
- Article
- Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals.Scientific reports · 2024Article
- Paediatric sleep diagnostics in the 21st century: the era of "sleep-omics"?European respiratory review : an official journal of the European Respiratory Society · 2024Review
- A Review of Novel Oximetry Parameters for the Prediction of Cardiovascular Disease in Obstructive Sleep Apnoea.Diagnostics (Basel, Switzerland) · 2023Review
- Introduction to Pediatric Sleep Medicine.Indian journal of pediatrics · 2023Review
- Paediatric sleep apnea event prediction using nasal air pressure and machine learning.Journal of sleep research · 2023Article
- Extracapsular Tonsillectomy versus Intracapsular Tonsillotomy in Paediatric Patients with OSAS.Journal of personalized medicine · 2023Article
- [Prevalence of childhood obstructive sleep apnoea syndrome in a referral sleep unit].Revista de neurologia · 2023Article
- Role of automated detection of respiratory related heart rate changes in the diagnosis of sleep disordered breathing.Frontiers in sleep · 2023Article
- Evaluation and diagnosis of pediatric obstructive sleep apnea-An update.Frontiers in sleep · 2023Review
- Article
Corrections and comments
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Authors and funding
29 authors at 16 institutions in 11 countries.
Funding
Abstract
rationaleThe vast majority of children around the world undergoing adenotonsillectomy for obstructive sleep apnea-hypopnea syndrome (OSA) are not objectively diagnosed by nocturnal polysomnography because of access availability and cost issues. Automated analysis of nocturnal oximetry (nSp
methodsDeidentified nSp MEASUREMENTS AND MAIN
resultsThe automatically estimated apnea-hypopnea index (AHI) showed high agreement with AHI from conventional polysomnography (intraclass correlation coefficient, 0.785) when tested in 3,602 additional subjects. Further assessment on the widely used AHI cutoff points of 1, 5, and 10 events/h revealed an incremental diagnostic ability (75.2, 81.7, and 90.2% accuracy; 0.788, 0.854, and 0.913 area under the receiver operating characteristic curve, respectively).
conclusionsNeural network-based automated analyses of nSp
Indexed as
Identifiers
What OpenQuestion holds
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.