Evidence map›Paper›PMID 33782687›Full record

ArticleSleep2021

Sleep-tracking technology in scientific research: looking to the future.

Michael A Grandner, Matthew R Lujan, Sadia B Ghani

Registry-linked trialAbstract readComment
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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.

NCT06174558 unknown statusnot on this mapstarted 2024, after this paper: background citation

Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram

TypeobservationalSponsorRespiratory SpecialistsRan2024 to 2024Enrolled86ConditionsObstructive Sleep ApneaArmsSleep Tracking Devices
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Diagnostic accuracy of ambulatory polysomnography with electroencephalogram for detection of sleep bruxism-related masticatory muscle activity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Michael A GrandnerSleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, USA.
Matthew R LujanSleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, USA.
Sadia B GhaniSleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, USA.

Funding

PHYSIOLOGYT32HL007249 · NHLBI · UNIVERSITY OF ARIZONA · PI Brett A Colson, JOHN P KONHILAS · 1985 to 2026
$12.5M
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
NHLBI NIH HHS T32 HL007249NIDA NIH HHS R01 DA051321NIMHD NIH HHS R01 MD011600
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Fixation, OcularSleepPolysomnographyTechnology

Identifiers

PMID33782687
PMCPMC8343587

What OpenQuestion holds

Textmetadata
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.