Observational studyAmerican journal of medical genetics. Part A2017
A predictive model for obstructive sleep apnea and Down syndrome.
Observational study in American journal of medical genetics. Part A, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 31 papers, 4 of them syntheses 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.
Validation of Sleep Questionnaires in the Down Syndrome Population
Assessment of Decision Support System Software in Extraction and Anchorage Planning Among Adult Patients Using Computer Algorithm
Who cites it
31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta-analysis.Pediatric pulmonology · 2022Pooled it
- Predictors of sleep disordered breathing in children with Down syndrome: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022Pooled it
- Sleep disorders in Down syndrome: a systematic review.Arquivos de neuro-psiquiatria · 2022Pooled it
- Prevalence of Obstructive Sleep Apnea in Children With Down Syndrome: A Meta-Analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Pooled it
- Co-Occurring Conditions and Sleep Symptoms Associated With Obstructive Sleep Apnea in Children With Down Syndrome.Pediatric pulmonology · 2025Article
- Three Decades of Managing Pediatric Obstructive Sleep Apnea Syndrome: What's Old, What's New.Children (Basel, Switzerland) · 2025Review
- Middle Ear Disorders in Children with Down Syndrome: The Detrimental Effect on Speech and Language Development.Children (Basel, Switzerland) · 2025Article
- Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis.JHEP reports : innovation in hepatology · 2025Article
- Three-dimensional assessment of the nasopharyngeal airway in Down syndrome during the mixed dentition period: a case-control study.The Angle orthodontist · 2025Article
- Enhanced machine learning approaches for OSA patient screening: model development and validation study.Scientific reports · 2024Article
- Unraveling Down Syndrome: From Genetic Anomaly to Artificial Intelligence-Enhanced Diagnosis.Biomedicines · 2023Review
- Machine learning-based analysis of regional differences in out-of-hospital cardiopulmonary arrest outcomes and resuscitation interventions in Japan.Scientific reports · 2023Article
- Diagnosis of Paediatric Obstructive Sleep-Disordered Breathing beyond Polysomnography.Children (Basel, Switzerland) · 2023Review
- Medical Treatment of Obstructive Sleep Apnea in Children.Journal of clinical medicine · 2023Review
- Orthodontic and Facial Characteristics of Craniofacial Syndromic Children with Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2023Article
- Validation of a predictive model for obstructive sleep apnea in people with Down syndrome.American journal of medical genetics. Part A · 2023Article
- Effects of the Whole-Body Vibration Exercise on Sleep Disorders, Body Temperature, Body Composition, Tone, and Clinical Parameters in a Child with Down Syndrome Who Underwent Total Atrioventricular Septal Defect Surgery: A Case-Report.Children (Basel, Switzerland) · 2023Article
- Personalized Medicine and Obstructive Sleep Apnea.Journal of personalized medicine · 2022Review
- LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis.Journal of personalized medicine · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 10 institutions in 2 countries.
Funding
Abstract
Obstructive sleep apnea (OSA) occurs frequently in people with Down syndrome (DS) with reported prevalences ranging between 55% and 97%, compared to 1-4% in the neurotypical pediatric population. Sleep studies are often uncomfortable, costly, and poorly tolerated by individuals with DS. The objective of this study was to construct a tool to identify individuals with DS unlikely to have moderate or severe sleep OSA and in whom sleep studies might offer little benefit. An observational, prospective cohort study was performed in an outpatient clinic and overnight sleep study center with 130 DS patients, ages 3-24 years. Exclusion criteria included previous adenoid and/or tonsil removal, a sleep study within the past 6 months, or being treated for apnea with continuous positive airway pressure. This study involved a physical examination/medical history, lateral cephalogram, 3D photograph, validated sleep questionnaires, an overnight polysomnogram, and urine samples. The main outcome measure was the apnea-hypopnea index. Using a Logic Learning Machine, the best model had a cross-validated negative predictive value of 73% for mild obstructive sleep apnea and 90% for moderate or severe obstructive sleep apnea; positive predictive values were 55% and 25%, respectively. The model included variables from survey questions, medication history, anthropometric measurements, vital signs, patient's age, and physical examination findings. With simple procedures that can be collected at minimal cost, the proposed model could predict which patients with DS were unlikely to have moderate to severe obstructive sleep apnea and thus may not need a diagnostic sleep study.
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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.