Trial reportSleep & breathing = Schlaf & Atmung2018
Ambulatory screening tool for sleep apnea: analyzing a single-lead electrocardiogram signal (ECG).
Trial report in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01234077 (A Single Blind Randomized Study Comparing In-laboratory Polysomnography Electrocardiogram to Simultaneously Recorded In-laboratory Electrocardiogram on the CPC M1 Device and Compared to Home Recorded Electrocardiogram With the CPC M1 Device.), which is not on this map. Cited by 23 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.
A Single Blind Randomized Study Comparing In-laboratory Polysomnography Electrocardiogram to Simultaneously Recorded In-laboratory Electrocardiogram on the CPC M1 Device and Compared to Home Recorded Electrocardiogram With the CPC M1 Device.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Diagnostic value of smartphone in obstructive sleep apnea syndrome: A systematic review and meta-analysis.PloS one · 2022Pooled it
- Sleep apnea diagnosis in children using software-generated apnea-hypopnea index (AHI) derived from data recorded with a single photoplethysmogram sensor (PPG) : Results from the Childhood Adenotonsillectomy Study (CHAT) based on cardiopulmonary coupling analysis.Sleep & breathing = Schlaf & Atmung · 2020Trial
- Objective sleep quality and metabolic risk in healthy weight children results from the randomized Childhood Adenotonsillectomy Trial (CHAT).Sleep & breathing = Schlaf & Atmung · 2019Trial
- Screening for Sleep-Disordered Breathing Risk in Pediatric Dental Care: A Protocol Combining Questionnaire-Based Stratification and Wearable Home Sleep Monitoring.Methods and protocols · 2026Article
- The rhythm Holter values of patients with obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2026Article
- Patch-Type Heart Rate Variability Analysis with Artificial Intelligence for Detection of Obstructive Sleep Apnea.Nature and science of sleep · 2026Article
- Prolonged periods of shallow sleep are associated with diabetic carotid atherosclerosis.European journal of medical research · 2025Article
- Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.Frontiers in medicine · 2025Article
- Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Comparative study of a wearable intelligent sleep monitor and polysomnography monitor for the diagnosis of obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2023Article
- Sleep disturbance exacerbates atherosclerosis in type 2 diabetes mellitus.Frontiers in cardiovascular medicine · 2023Article
- Craniofacial Sleep Medicine: The Important Role of Dental Providers in Detecting and Treating Sleep Disordered Breathing in Children.Children (Basel, Switzerland) · 2022Review
- Cardiopulmonary coupling and serum cardiac biomarkers in obesity hypoventilation syndrome and obstructive sleep apnea with morbid obesity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Night-to-night variability of sleep apnea detected by cyclic variation of heart rate during long-term continuous ECG monitoring.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022Article
- Correlation between Sleep Time, Sleep Quality, and Emotional and Cognitive Function in the Elderly.BioMed research international · 2022Article
- Assessment of autonomic function by long-term heart rate variability: beyond the classical framework of LF and HF measurements.Journal of physiological anthropology · 2021Review
- A Minimum Set of Physiological Parameters to Diagnose Obstructive Sleep Apnea Syndrome Using Non-Invasive Portable Monitors. A Systematic Review.Life (Basel, Switzerland) · 2021Review
- The predictive value of Holter monitoring in the risk of obstructive sleep apnea.Journal of thoracic disease · 2021Article
- Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology-Implications for Health and Disease.Frontiers in neuroscience · 2021Review
- Screening of obstructive sleep apnea in patients who snore using a patch-type device with electrocardiogram and 3-axis accelerometer.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectiveThe goal was to determine the utility and accuracy of automated analysis of single-lead electrocardiogram (ECG) data using two algorithms, cardiopulmonary coupling (CPC), and cyclic variation of heart rate (CVHR) to identify sleep apnea (SA).
methodsThe CPC-CVHR algorithms were applied to identify SA by analyzing ECG from diagnostic polysomnography (PSG) from 47 subjects. The studies were rescored according to updated AASM scoring rules, both manually by a certified technologist and using an FDA-approved automated scoring software, Somnolyzer (Philips Inc., Monroeville, PA). The CPC+CVHR output of Sleep Quality Index (SQI), Sleep Apnea Indicator (SAI), elevated low frequency coupling broadband (eLFC
resultsA high degree of agreement was noted between the CPC-CVHR against both the manually rescored AHI and the computerized scored AHI to identify patients with moderate and severe sleep apnea (AHI > 15). The combined CPC+CVHR algorithms, when compared to the manually scored PSG output presents sensitivity 89%, specificity 79%, agreement 85%, PPV (positive predictive value) 0.86 and NPV (negative predictive value) 0.83, and substantial Kappa 0.70. Comparing the output of the automated scoring software to the manual scoring demonstrated sensitivity 93%, specificity 79%, agreement 87%, PPV 0.87, NPV 0.88, and substantial Kappa 0.74.
conclusionThe CPC+CVHR technology performed as accurately as the automated scoring software to identify patients with moderate to severe SA, demonstrating a clinically powerful tool that can be implemented in various clinical settings to identify patients at risk for SA.
trial registrationNCT01234077.
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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.