Evidence map›Paper›PMID 34741243›Full record

ArticleSleep & breathing = Schlaf & Atmung2022

Consumer-grade sleep trackers are still not up to par compared to polysomnography.

Kyubo Kim, Do-Yang Park, Yong Jae Song, Sujin Han, Hyun Jun Kim

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. A skin-interfaced wireless wearable device and data analytics approach for sleep-stage and disorder detection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Observational
  9. Article
  10. Article
  11. Article
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  14. Diagnostic Performance of Photoplethysmography-Based Smartwatch for Obstructive Sleep Apnea.Journal of rhinology : official journal of the Korean Rhinologic Society · 2022
    Article
  15. Article
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

5 authors.

Kyubo KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Do-Yang ParkDepartment of Otolaryngology, Ajou University School of Medicine, Suwon, Republic of Korea.
Yong Jae SongDepartment of Otolaryngology, Ajou University School of Medicine, Suwon, Republic of Korea.
Sujin HanDepartment of Otorhinolaryngology-Head and Neck Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Hyun Jun KimDepartment of Otolaryngology, Ajou University School of Medicine, Suwon, Republic of Korea. entkhj@ajou.ac.kr.ORCID 0000-0002-3134-0142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough polysomnography (PSG) is the gold standard for monitoring sleep, it has many limitations. We aimed to prospectively determine the validity of wearable sleep-tracking devices and smartphone applications by comparing the data to that of PSGs.

methodsPatients who underwent one night of attended PSG at a single institution from January, 2015 to July 2019 were recruited. Either a sleep application or wearable device was used simultaneously while undergoing PSG. Nine smartphone applications and three wearable devices were assessed.

resultsWe analyzed the results of 495 cases of smartphone applications and 170 cases of wearables by comparing each against PSG. None of the tested applications were able to show a statistically significant correlation between sleep efficiency, durations of wake time, light sleep or deep sleep with PSG. Snore time correlated well in both of the two applications which provided such information. Deep sleep duration and WASO measured by two of the three wearable devices correlated significantly with PSG. Even after controlling for transition count and moving count, the correlation indices of the wearables did not increase, suggesting that the algorithms used by the wearables were not largely affected by tossing and turning.

conclusionsMost of the applications tested in this study showed poor validity, while wearable devices mildly correlated with PSG. An effective use for these devices may be as a tool to identify the change seen in an individual's sleep patterns on a day-to-day basis, instead of as a method of detecting absolute measurements.

Indexed as

ActigraphyWearable Electronic DevicesHumansPolysomnographyReproducibility of ResultsSleepActigraphyPolysomnographySleepSmartphone

Identifiers

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Read underepoch 390

Registered trials

None linked

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.