Evidence map›Paper›PMID 34713186›Full record

ReviewFrontiers in digital health2021

Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms.

Matthew R Lujan, Ignacio Perez-Pozuelo, Michael A Grandner

2 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT05456386 naunknown statusnot on this mapstarted 2022, after this paper: background citation

BioRhythm Health Coaching and Sleep Monitoring Program for Weight Loss

TypeinterventionalSponsorStephen HutchisonRan2022 to 2023Enrolled65ConditionsObesityArmsThe Circadian Rhythm Approach to Weight Loss (CRAWL)
NCT06606691 completednot on this mapstarted 2025, after this paper: background citation

Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders

TypeobservationalSponsorUniversidade da CoruñaRan2025 to 2026Enrolled300ConditionsBreathing-Related Sleep Disorder, Sleep Disorder (Disorder)ArmsXiaomi Mi Smart Band 8
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Sleep and Risk for Heart Disease and Stroke.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Matthew R LujanSleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States.
Ignacio Perez-PozueloSchool of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Michael A GrandnerSleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States.
University of Arizona · USUniversity of Cambridge · GB

Funding

Using Sleep Health to Optimize Smoking Cessation Treatment Response in HIV-Positive AdultsR01DA051321 · NIDA · UNIVERSITY OF ARIZONA · PI FANTRY, LORI E, GRANDNER, MICHAEL A · 2020 to 2024
$4.1M
Sleep and Cardiometabolic Health Disparities at the US/Mexico Border: The Nogales Cardiometabolic Health and Sleep (NoCHeS) StudyR01MD011600 · NIMHD · UNIVERSITY OF ARIZONA · PI GRANDNER, MICHAEL A · 2018 to 2022
$4.1M
NIDA NIH HHS R01 DA051321NIMHD NIH HHS R01 MD011600
6 · The paper itself

Abstract

Movement-based sleep-wake detection devices (i.e., actigraphy devices) were first developed in the early 1970s and have repeatedly been validated against polysomnography, which is considered the "gold-standard" of sleep measurement. Indeed, they have become important tools for objectively inferring sleep in free-living conditions. Standard actigraphy devices are rooted in accelerometry to measure movement and make predictions,

Indexed as

actigraphyheart ratephotoplethysmographyvalidationwearables

Identifiers

PMID34713186
PMCPMC8521807
OpenAlexW3195197599

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.