ReviewChest2023
Remote Monitoring of Positive Airway Pressure Data: Challenges, Pitfalls, and Strategies to Consider for Optimal Data Science Applications.
Review in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07530302 (Treatment Failure of Continuous Positive Airway Pressure), which is not on this map. Cited by 8 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.
Treatment Failure of Continuous Positive Airway Pressure (CPAP) in Patients With Obstructive Sleep Apnea Syndrome (OSA): A Randomized Controlled Trial Comparing Polysomnography and the Sunrise Device to Drive Treatment-Adjustment Decisions.
Who cites it
8 citing papers in PubMed.
- Rethinking Long-Term Follow-Up of CPAP Therapy in Obstructive Sleep Apnea: Toward Personalized and Integrated Care.Healthcare (Basel, Switzerland) · 2026Review
- Prevalence and management of residual respiratory events in OSA patients treated with CPAP: a prospective observational clinical experience.Sleep & breathing = Schlaf & Atmung · 2026Observational
- Real-world status of continuous positive airway pressure (CPAP) persistence in patients with sleep apnea syndrome (SAS): a retrospective longitudinal study of administrative claims data in Japan.Sleep & breathing = Schlaf & Atmung · 2025Article
- Redefining telemedicine in obstructive sleep apnea management through artificial intelligence.Frontiers in sleep · 2025Article
- The Future of Telemedicine for Obstructive Sleep Apnea Treatment: A Narrative Review.Journal of clinical medicine · 2024Review
- Article
- Mendelian randomization reveals no associations of genetically-predicted obstructive sleep apnea with the risk of type 2 diabetes, nonalcoholic fatty liver disease, and coronary heart disease.Frontiers in psychiatry · 2023Article
- Review
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.
Funding
Abstract
Over recent years, positive airway pressure (PAP) remote monitoring has transformed the management of OSA and produced a large amount of data. Accumulated PAP data provide valuable and objective information regarding patient treatment adherence and efficiency. However, the majority of studies that have analyzed longitudinal PAP remote monitoring have summarized data trajectories in static and simplistic metrics for PAP adherence and the residual apnea-hypopnea index by the use of mean or median values. The aims of this article are to suggest directions for improving data cleaning and processing and to address major concerns for the following data science applications: (1) conditions for residual apnea-hypopnea index reliability, (2) lack of standardization of indicators provided by different PAP models, (3) missing values, and (4) consideration of treatment interruptions. To allow fair comparison among studies and to avoid biases in computation, PAP data processing and management should be conducted rigorously with these points in mind. PAP remote monitoring data contain a wealth of information that currently is underused in the field of sleep research. Improving the quality and standardizing data handling could facilitate data sharing among specialists worldwide and enable artificial intelligence strategies to be applied in the field of sleep apnea.
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.