ArticleSleep2020
Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.
Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07046429 (Effect of Supplemental Nightly Melatonin On REM and Cognition in Hepatic Encephalopathy), which is not on this map. Cited by 116 papers, 3 of them syntheses that pooled it.
What it found
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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.
Effect of Supplemental Nightly Melatonin On REM and Cognition in Hepatic Encephalopathy (SNORE-HE) Trial
Who cites it
116 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Characterizing device-measured sleep in observational health research using compositional data analysis: a systematic review.The international journal of behavioral nutrition and physical activity · 2026Pooled it
- Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Identification of a Preliminary Plasma Metabolome-based Biomarker for Circadian Phase in Humans.Journal of biological rhythms · 2021Trial
- Validation of the Withings Sleep Analyzer, an under-the-mattress device for the detection of moderate-severe sleep apnea syndrome.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Trial
- Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020Trial
- Whole-Night Gentle Rocking Improves Sleep in Poor Sleepers With Insomnia Complaints.Journal of sleep research · 2026Article
- Unlocking the clock: a systematic review and meta-analysis on optimizing immune checkpoint inhibitor timing for advanced solid tumors.British journal of cancer · 2026Article
- Article
- Evaluating the Feasibility of Low-Cost, Contactless Consumer Sleep-Tracking Devices as Measurement Tools for Preliminary Sleep Research.Sensors (Basel, Switzerland) · 2026Article
- Review
- A Fully Self-Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation.Journal of sleep research · 2026Article
- How Does the Sleep Regularity Questionnaire Relate to Wearable- and Diary-Derived Sleep Regularity?Journal of circadian rhythms · 2026Article
- Reporting of Accelerometry in Health Research: A Scoping Review of Current Guidance.Scandinavian journal of medicine & science in sports · 2025Article
- Preventive circadian medicine: improving health with sleep checkups.Npj biological timing and sleep · 2025Review
- Teamwork Makes the Dream Work: Who Should Be Managing Athletes on Matters Related to Sleep?Sports medicine (Auckland, N.Z.) · 2025Article
- Can a Commercially Available Smartwatch Device Accurately Measure Nighttime Sleep Outcomes in Individuals with Knee Osteoarthritis and Comorbid Insomnia? A Comparison with Home-Based Polysomnography.Sensors (Basel, Switzerland) · 2025Article
- Validation of nocturnal resting heart rate and heart rate variability in consumer wearables.Physiological reports · 2025Article
- Sleep patterns, sociodemographic correlates, and their association with economic preferences among Indian smallholder farmers.Scientific reports · 2025Article
56 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The "International Biomarkers Workshop on Wearables in Sleep and Circadian Science" was held at the 2018 SLEEP Meeting of the Associated Professional Sleep Societies. The workshop brought together experts in consumer sleep technologies and medical devices, sleep and circadian physiology, clinical translational research, and clinical practice. The goals of the workshop were: (1) characterize the term "wearable" for use in sleep and circadian science and identify relevant sleep and circadian metrics for wearables to measure; (2) assess the current use of wearables in sleep and circadian science; (3) identify current barriers for applying wearables to sleep and circadian science; and (4) identify goals and opportunities for wearables to advance sleep and circadian science. For the purposes of biomarker development in the sleep and circadian fields, the workshop included the terms "wearables," "nearables," and "ingestibles." Given the state of the current science and technology, the limited validation of wearable devices against gold standard measurements is the primary factor limiting large-scale use of wearable technologies for sleep and circadian research. As such, the workshop committee proposed a set of best practices for validation studies and guidelines regarding how to choose a wearable device for research and clinical use. To complement validation studies, the workshop committee recommends the development of a public data repository for wearable data. Finally, sleep and circadian scientists must actively engage in the development and use of wearable devices to maintain the rigor of scientific findings and public health messages based on wearable technology.
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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.