ArticleJournal of clinical hypertension (Greenwich, Conn.)2013
Screening for severe obstructive sleep apnea syndrome in hypertensive outpatients.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 12 papers, 2 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.
Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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
- Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017Guideline
- Clinical Trial Enrollment Enrichment in Resource-Constrained Research Environments: Multivariable Apnea Prediction (MAP) Index in SCIP-PA Trial.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Trial
- The relationship between clinical severity of obstructive sleep apnea based on polysomnography and drug-induced sleep endoscopy with 3D, 2D, linear, and angular anatomical parameters of upper airway and craniofacial area in CBCTs of individuals with moderate or severe apnea: a cross-sectional study.Clinical oral investigations · 2026Article
- Two-stage screening for obstructive sleep apnea in the primary practice setting.Sleep & breathing = Schlaf & Atmung · 2024Article
- Article
- Estimation of the apnea-hypopnea index in a heterogeneous sleep-disordered population using optimised cardiovascular features.Scientific reports · 2019Article
- A Screening Algorithm for Obstructive Sleep Apnea in Pregnancy.Annals of the American Thoracic Society · 2019Article
- Screening for Obstructive Sleep Apnea in Commercial Drivers Using EKG-Derived Respiratory Power Index.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- Article
- Use of Ambulatory Blood Pressure Monitoring for the Screening of Obstructive Sleep Apnea.Journal of clinical hypertension (Greenwich, Conn.) · 2015Article
- Screening for obstructive sleep apnea syndrome in hypertensive outpatients: clinical characteristics of hypertension are important for their analysis.Journal of clinical hypertension (Greenwich, Conn.) · 2013Article
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
The authors attempted to validate a 2-stage strategy to screen for severe obstructive sleep apnea syndrome (s-OSAS) among hypertensive outpatients, with polysomnography (PSG) as the gold standard. Using a prospective design, outpatients with hypertension were recruited from medical outpatient clinics. Interventions included (1) assessment of clinical data; (2) home sleep testing (HST); and (3) 12-channnel, in-laboratory PSG. The authors developed models using clinical or HST data alone (single-stage models) or clinical data in tandem with HST (2-stage models) to predict s-OSAS. For each model, area under receiver operating characteristic curves (AUCs), sensitivity, specificity, negative likelihood ratio, and negative post-test probability (NPTP) were computed. Models were then rank-ordered based on AUC values and NPTP. HST used alone had limited accuracy (AUC=0.727, NPTP=2.9%). However, models that used clinical data in tandem with HST were more accurate in identifying s-OSAS, with lower NPTP: (1) facial morphometrics (AUC=0.816, NPTP=0.6%); (2) neck circumference (AUC=0.803, NPTP=1.7%); and Multivariable Apnea Prediction Score (AUC=0.799, NPTP=1.5%) where sensitivity, specificity, and NPTP were evaluated at optimal thresholds. Therefore, HST combined with clinical data can be useful in identifying s-OSAS in hypertensive outpatients, without incurring greater cost and patient burden associated with in-laboratory PSG. These models were less useful in identifying obstructive sleep apnea syndrome of any severity.
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.