ArticleSleep advances : a journal of the Sleep Research Society2026
Article in Sleep advances : a journal of the Sleep Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Sleep EEG foundation models reveal within-stage microstructure that improves health screening beyond traditional stages.Research square · 2026Article
- Consumer sleep technologies: what we know and what comes next.Sleep advances : a journal of the Sleep Research Society · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep research heavily relies on polysomnography recordings to assess sleep architecture. While effective, this method is time-consuming and requires substantial resources and labor. Modern wearable devices provide a promising alternative for sleep monitoring as they are easy to wear and maintain. However, these devices are constrained by a limited number of channels and comparatively lower data quality, which often leads to unreliable outcomes derived from partial readings. To address this, we propose using multiple wearable devices and combining their outputs to acquire reliable sleep data. However, the feasibility of this approach must be rigorously tested before being relied upon to supplant polysomnography in scientific studies. To facilitate this, we have curated a dataset with concurrent full polysomnography and wearable device recordings of overnight sleep sessions. This dataset, named
Indexed as
Identifiers
What Socratic 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 Socratic graph.