Evidence map›Paper›PMID 38873908›Full record

Observational studyJournal of sleep research2025

Metrology of two wearable sleep trackers against polysomnography in patients with sleep complaints.

Justine Frija, Jimmy Mullaert, Laure Abensur Vuillaume, Mathieu Grajoszex, Ruben Wanono, Hélène Benzaquen, Fedja Kerzabi, Pierre Alexis Geoffroy, Boris Matrot, Théo Trioux and 2 more

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Observational
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  8. 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

12 authors.

Justine FrijaExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.ORCID 0000-0001-5575-3913
Jimmy MullaertAP-HP, Hôpital Bichat, DEBRC, Paris, France.
Laure Abensur VuillaumeEmergency Department CHR Metz-Thionville, Metz, France.
Mathieu GrajoszexExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.
Ruben WanonoExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.
Hélène BenzaquenExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.
Fedja KerzabiExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.
Pierre Alexis GeoffroyUniversité de Paris, NeuroDiderot, Inserm U1141, Paris, France.
Boris MatrotUniversité de Paris, NeuroDiderot, Inserm U1141, Paris, France.
Théo TriouxAP-HP, Hôpital Bichat, DEBRC, Paris, France.
Thomas PenzelInterdisciplinary Sleep Medicine Center, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-4304-0112
Marie-Pia d'OrthoExplorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, APHP, Hôpital Bichat, Paris, France.

Funding

MSD Avenir Foundation
6 · The paper itself

Abstract

Sleep trackers are used widely by patients with sleep complaints, however their metrological validation is often poor and relies on healthy subjects. We assessed the metrological validity of two commercially available sleep trackers (Withings Activité/Fitbit Alta HR) through a prospective observational monocentric study, in adult patients referred for polysomnography (PSG). We compared the total sleep time (TST), REM time, REM latency, nonREM1 + 2 time, nonREM3 time, and wake after sleep onset (WASO). We report absolute and relative errors, Bland-Altman representations, and a contingency table of times spent in sleep stages with respect to PSG. Sixty-five patients were included (final sample size 58 for Withings and 52 for Fitbit). Both devices gave a relatively accurate sleep start time with a median absolute error of 5 (IQR -43; 27) min for Withings and -2.0 (-12.5; 4.2) min for Fitbit but both overestimated TST. Withings tended to underestimate WASO with a median absolute error of -25.0 (-61.5; -8.5) min, while Fitbit tended to overestimate it (median absolute error 10 (-18; 43) min. Withings underestimated light sleep and overestimated deep sleep, while Fitbit overestimated light and REM sleep and underestimated deep sleep. The overall kappas for concordance of each epoch between PSG and devices were low: 0.12 (95%CI 0.117-0.121) for Withings and VPSG indications 0.07 (95%CI 0.067-0.071) for Fitbit, as well as kappas for each VPSG indication 0.07 (95%CI 0.067-0.071). Thus, commercially available sleep trackers are not reliable for sleep architecture in patients with sleep complaints/pathologies and should not replace actigraphy and/or PSG.

Indexed as

Fitness TrackersPolysomnographySleepSleep Wake DisordersWearable Electronic DevicesActigraphyAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of Resultshypersomniainsomniapolysomnographysleep apneasleep trackers

Identifiers

PMID38873908
PMCPMC11911034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.