ReviewSleep medicine reviews2020
Reinventing polysomnography in the age of precision medicine.
Review in Sleep medicine reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.
- Polysomnographic features of idiopathic restless legs syndrome: a systematic review and meta-analysis of 13 sleep parameters and 23 leg movement parameters.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Pooled it
- Polysomnographic Predictors of Sleep, Motor, and Cognitive Dysfunction Progression in Parkinson's Disease.Current neurology and neuroscience reports · 2022Pooled it
- A randomized placebo-controlled double-blind study of dexmedetomidine on postoperative sleep quality in patients with endoscopic sinus surgery.BMC anesthesiology · 2022Trial
- Beyond the Apnea-Hypopnea Index: Circulating Biomarkers and Device-Based Metrics for Cardiometabolic Risk Stratification in Obstructive Sleep Apnea.Journal of clinical medicine · 2026Review
- Sleep in Functional Motor Disorders: A Case-Control Polysomnographic Study.Journal of sleep research · 2026Article
- Article
- Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An Open-Source Platform for Automatic Sleep Staging of Rodent Electrocorticographic and Electromyographic Data.Journal of biological rhythms · 2025Article
- A Dual-Modal Wearable Pulse Detection System Integrated with Deep Learning for High-Accuracy and Low-Power Sleep Apnea Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The Association between All-Cause Mortality and Obstructive Sleep Apnea in Adults: A U-Shaped Curve.Annals of the American Thoracic Society · 2025Article
- A continuous approach to explain insomnia and subjective-objective sleep discrepancy.Communications biology · 2025Article
- Uncovering the role of sleep on human health.Nature medicine · 2025Article
- Age modifies the association between severe sleep apnea and all-cause mortality.Sleep medicine · 2024Article
- Smart Sleep Monitoring: Sparse Sensor-Based Spatiotemporal CNN for Sleep Posture Detection.Sensors (Basel, Switzerland) · 2024Article
- Inequalities in the access to diagnosis and treatment of obstructive sleep apnea in Brazil: a cross-sectional study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Article
- Data-Driven Personalized Care in Lung Cancer: Scoping Review and Clinical Recommendations on Performance Status and Activity Level of Patients With Lung Cancer Using Wearable Devices.JCO clinical cancer informatics · 2023Article
- Article
- Mattress-Based Non-Influencing Sleep Apnea Monitoring System.Sensors (Basel, Switzerland) · 2023Article
- Translation of obstructive sleep apnea pathophysiology and phenotypes to personalized treatment: a narrative review.Frontiers in neurology · 2023Review
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
Abstract
For almost 50 years, sleep laboratories around the world have been collecting massive amounts of polysomnographic (PSG) physiological data to diagnose sleep disorders, the majority of which are not utilized in the clinical setting. Only a small fraction of the information available within these signals is utilized to generate indices. For example, the apnea-hypopnea index (AHI) remains the primary tool for diagnostic and therapeutic decision-making for obstructive sleep apnea (OSA) despite repeated studies showing it to be inadequate in predicting clinical consequences. Today, there are many novel approaches to PSG signals, making it possible to extract more complex metrics and analyses that are potentially more clinically relevant for individual patients. However, the pathway to implement novel PSG metrics/analyses into routine clinical practice is unclear. Our goal with this review is to highlight some of the novel PSG metrics/analyses that are becoming available. We suggest that stronger academic-industry relationships would facilitate the development of state-of-the-art clinical research to establish the value of novel PSG metrics/analyses in clinical sleep medicine. Collectively, as a sleep community, it is time to reinvent how we utilize the polysomnography to move us towards Precision Sleep Medicine.
Indexed as
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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.