ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2019
The Use of Computer Decision Support for Pediatric Obstructive Sleep Apnea Detection in Primary Care.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02781376 (Evidence-based Diagnosis and Management of Pediatric Obstructive Sleep Apnea in Primary Care), which is not on this map. Cited by 13 papers.
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.
Evidence-based Diagnosis and Management of Pediatric Obstructive Sleep Apnea in Primary Care
Who cites it
13 citing papers in PubMed.
- Adenotonsillectomy vs Watchful Waiting in Pediatric Mild to Moderate Obstructive Sleep Apnea: The KATE Randomized Clinical Trial.JAMA otolaryngology-- head & neck surgery · 2025Trial
- Predictors of Adenotonsillectomy for Publicly Insured Children With Sleep-Disordered Breathing.The Laryngoscope · 2026Article
- A Qualitative Exploration of Clinicians' Perspectives on Obstructive Sleep Apnea Facilitators and Barriers to Care.Journal of multidisciplinary healthcare · 2026Article
- Implementing an Electronic Health Record-Integrated Pediatric Primary Care Sleep Screener.JAMA network open · 2025Observational
- Diagnosis of sleep disorders in child healthcare settings.Sleep medicine · 2024Article
- The Feasibility of Screening for Sleep Problems in Early Childhood Education Programs.Behavioral sleep medicine · 2024Article
- Oral appliance therapy and hypoglossal nerve stimulation as non-positive airway pressure treatment alternatives for obstructive sleep apnea: a narrative expert review.Sleep advances : a journal of the Sleep Research Society · 2024Article
- Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record-based clinical notes prior to model training.Frontiers in sleep · 2024Article
- Disparities in Sleep-Disordered Breathing: Upstream Risk Factors, Mechanisms, and Implications.Clinics in chest medicine · 2023Review
- Discrepancies Between Caregiver Reported Early Childhood Sleep Problems and Clinician Documentation and Referral.Academic pediatrics · 2023Article
- "It made all the difference": a qualitative study of parental experiences with pediatric obstructive sleep apnea detection.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- Quality of life related to residual snoring after adenotonsillectomy: a pilot study.Sleep science (Sao Paulo, Brazil)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
4 authors.
Funding
Abstract
STUDY
objectivesTo (1) describe outcomes from a computer decision support system (CDSS) for pediatric obstructive sleep apnea (OSA) detection in primary care; and (2) identity the prevalence of children meeting criteria for an OSA referral.
methodsA CDSS for OSA was implemented in two urban primary care clinics. Parents of children (age 2 to 11 years) presenting to the clinic were asked if their child snored regularly, with a positive response resulting in six additional OSA screening items. Primary care providers (PCPs) received a prompt for all snoring children, listing applicable OSA signs and symptoms and recommending further evaluation and referral for OSA.
resultsA total of 2,535 children were screened for snoring, identifying 475 snoring children (18.7%). Among snoring children, PCPs referred 40 (15.4%) for further evaluation. The prevalence of additional OSA signs and symptoms ranged from 3.5% for underweight to 43.7% for overweight. A total of 74.7% of snoring children had at least one additional sign or symptom and thus met American Academy of Pediatrics guidelines criteria for an OSA referral.
conclusionsA CDSS can be used to support PCPs in identifying children at risk for OSA. Most snoring children met criteria for further evaluation. It will be important to further evaluate this referral threshold as well as the readiness of the sleep medicine field to meet this need. CLINICAL TRIALS REGISTRATION: Registry: ClinicalTrials.gov, Title: Evidence-based Diagnosis and Management of Pediatric Obstructive Sleep Apnea in Primary Care, Identifier: NCT02781376, URL: https://clinicaltrials.gov/ct2/show/NCT02781376.
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.