Evidence map›Paper›PMID 38384163›Full record

SynthesisJournal of sleep research2024

A systematic review of the performance of actigraphy in measuring sleep stages.

Hang Yuan, Elizabeth A Hill, Simon D Kyle, Aiden Doherty

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of sleep research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

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

25 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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  5. Review
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  19. Observational
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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

4 authors.

Hang YuanBig Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-5944-1925
Elizabeth A HillSir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-9290-9734
Simon D KyleSir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK.
Aiden DohertyBig Data Institute, University of Oxford, Oxford, UK.

Funding

British Heart Foundation Centre of Research Excellence RE/18/3/34214National Institute of Health and Care Research (NIHR) Oxford Health Biomedical Research Centre NIHR203316NIHR Efficacy and Mechanisms Evaluation Programme 131789Novo NordiskWellcome Trust 203667Wellcome Trust 223100Wellcome Trust 223100/Z/21/ZWellcome Trust 226784/Z/22/ZWellcome Trust 227093/Z/23/Z
6 · The paper itself

Abstract

The accuracy of actigraphy for sleep staging is assumed to be poor, but examination is limited. This systematic review aimed to assess the performance of actigraphy in sleep stage classification of adults. A systematic search was performed using MEDLINE, Web of Science, Google Scholar, and Embase databases. We identified eight studies that compared sleep architecture estimates between wrist-worn actigraphy and polysomnography. Large heterogeneity was found with respect to how sleep stages were grouped, and the choice of metrics used to evaluate performance. Quantitative synthesis was not possible, so we performed a narrative synthesis of the literature. From the limited number of studies, we found that actigraphy-based sleep staging had some ability to classify different sleep stages compared with polysomnography.

Indexed as

ActigraphyPolysomnographySleep StagesHumansaccelerometeractigraphypolysomnographysleep stagingsystematic reviewvalidity

Identifiers

PMID38384163
PMCPMC7618292

What OpenQuestion holds

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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.