Evidence map›Paper›PMID 42661136›Full record

Observational studyJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2026

Smartwatch-based detection of moderate-to-severe and high-risk obstructive sleep apnea.

Arash Alavi, Elaine Costa, Monica M S Matsumoto, Nicole Odenwald, Nadia Elkarra, Yifei Ma, Pahnwat Tonya Taweesedt, Makoto Kawai, Clete Kushida, Robson Capasso

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06603441 (Reliability of the Samsung Galaxy for the Detection of Moderate to Severe Obstructive Sleep Apnea), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06603441 completednot on this map

Reliability of the Samsung Galaxy for the Detection of Moderate to Severe Obstructive Sleep Apnea

TypeobservationalSponsorStanford UniversityRan2024 to 2025Enrolled152ConditionsObstructive Sleep Apnea of AdultArmsSamsung Galaxy Watch
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A smart watch crosses the threshold into clinical practice-or not quite yet?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    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

10 authors.

Arash Alavi *Deep Data Research Center, School of Medicine, Stanford University, Stanford, CA, USA. alavi@stanford.edu.ORCID http://orcid.org/0000-0002-7245-6889
Elaine Costa *Division of Sleep Surgery, Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Stanford University, Stanford, CA, USA.
Monica M S Matsumoto *Division of Sleep Surgery, Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Stanford University, Stanford, CA, USA.
Nicole OdenwaldDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Nadia ElkarraDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Yifei MaDivision of Sleep Surgery, Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Stanford University, Stanford, CA, USA.
Pahnwat Tonya TaweesedtDivision of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, Redwood City, CA, USA.
Makoto KawaiDivision of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, Redwood City, CA, USA.
Clete KushidaDivision of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, Redwood City, CA, USA.
Robson CapassoDivision of Sleep Surgery, Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Stanford University, Stanford, CA, USA. rcapasso@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObstructive sleep apnea (OSA) is a prevalent condition associated with long-term consequences, such as cardiovascular and neurocognitive diseases, yet many cases remain undiagnosed and therefore untreated due to the cost and limited access to traditional in-lab overnight polysomnography (PSG). The ubiquity of consumer wearable technology offers a practical way to mitigate these limitations, enabling more accessible, large-scale screening. However, the clinical validity of these devices requires further testing.

methodsIn this novel prospective study, we rigorously evaluated the diagnostic performance of the Samsung Galaxy Watch for detecting moderate-to-severe OSA (apnea-hypopnea index, AHI ≥ 15 events/h) compared to in-lab PSG using the AHI, and "high-risk" OSA subjects using the PSG-derived hypoxic burden (HB) criteria. We enrolled 152 adults aged 22 years or older with a prior diagnosis of moderate-to-severe OSA or a high pre-test likelihood of having it (STOP-Bang score ≥ 3), who wore the smartwatch during two in-lab PSG nights (147 completed both nights; total 1,850 h of in-lab PSG sleep): an initial in-lab PSG night, followed by ≥ 3 watch-only at-home nights, and then a second in-lab PSG night. In addition to AHI, we evaluated Galaxy Watch performance across PSG-derived HB-defined risk strata (low- vs. high-risk OSA) as HB integrates the depth, duration, and frequency of oxygen desaturations and has been shown to better reflect cardiometabolic risk and disease severity than AHI.

resultsIn our cohort, the Galaxy Watch achieved an area under the receiver operating characteristic (AUROC) curve of 0.94 (95% CI 0.889-0.980) for detecting moderate-to-severe OSA. With the default estimated AHI (eAHI) threshold of 15, the device yielded a sensitivity of 94.1% (95% CI 84.1-98%) and a specificity of 66.7% (95% CI 51-79.4%), while with the cohort-optimized eAHI threshold of 25.95, sensitivity was 82.4% (95% CI 69.7-90.4%) and specificity was 94.9% (95% CI 83.1-98.6%). Notably, within the HB defined high-risk OSA group, the Galaxy Watch achieved 100% sensitivity and 100% specificity using the default threshold, indicating robust discrimination between HB-defined low- and high-risk OSA categories.

conclusionOverall, these findings highlight the substantial potential of consumer-grade wearables to accurately detect moderate-to-severe sleep apnea using both AHI- and HB-defined risk strata across controlled and real-world settings. REGISTRATION: ClinicalTrials.gov ID: NCT06603441; First posted: 2024-09-19. CURRENT KNOWLEDGE/STUDY RATIONALE: Obstructive sleep apnea (OSA) remains substantially underdiagnosed because definitive testing with polysomnography (PSG) is resource-intensive and not readily accessible to all patients. Although consumer smartwatches offer a promising approach for large-scale OSA screening, prospective validation against PSG and evaluation using physiologically meaningful measures such as hypoxic burden have been limited. STUDY IMPACT: In this prospective study of 152 adults undergoing repeated PSG and smartwatch assessment, the Galaxy Watch demonstrated high accuracy for detecting moderate-to-severe OSA and showed excellent performance for identifying individuals with high hypoxic burden, a subgroup at elevated cardiometabolic risk. These findings support the use of consumer-grade wearable technology as a scalable, accessible screening tool to improve OSA risk identification, triage, and referral for definitive diagnostic evaluation.

Indexed as

Sleep Apnea, ObstructiveWearable Electronic DevicesAdultFemaleHumansMaleMiddle AgedPolysomnographyProspective StudiesSensitivity and SpecificitySeverity of Illness Index

Identifiers

PMID42661136
PMCPMC13522277

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.