Evidence map›Paper›PMID 39132687›Full record

ReviewJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2024

OSA diagnosis goes wearable: are the latest devices ready to shine?

Ambrose A Chiang, Evin Jerkins, Steven Holfinger, Sharon Schutte-Rodin, Arvind Chandrakantan, Laura Mong, Steve Glinka, Seema Khosla

Abstract readReview
In one paragraph

Review in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Sleep and Disorders of Gut-Brain Interaction.Gastroenterology & hepatology · 2026
    Article
  6. From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review
  7. Validation of an artificial intelligence based single-channel photoplethysmography home sleep apnea test.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  8. Article
  9. Editorial: The promise of sleep technology.Frontiers in neuroscience · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. OSA diagnosis in context: a comprehensive approach to evaluating novel diagnostic devices.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  14. Intraoperative insights: can wearable devices leverage intraoperative data to advance pediatric OSA diagnostics?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  15. Article
  16. The complexity of employing "optimal AHI/RDI cutoffs" in assessing the performance of OSA-detecting wearables.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  17. Review
  18. Responses to questions about Sunrise in the review on OSA wearables by Chiang et al.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  19. Article
  20. 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

8 authors.

Ambrose A ChiangSleep Medicine Section, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio.
Evin JerkinsDepartment of Primary Care, Ohio University Heritage College of Osteopathic Medicine, Dublin, Ohio.
Steven HolfingerDivision of Pulmonary, Critical Care, and Sleep Medicine, Ohio State University, Columbus, Ohio.
Sharon Schutte-RodinDivision of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Arvind ChandrakantanDepartment of Anesthesiology & Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas.
Laura MongFairfield Medical Center, Lancaster, Ohio.
Steve GlinkaMedBridge Healthcare, Greenville, South Carolina.
Seema KhoslaNorth Dakoda Center for Sleep, Fargo, North Dakoda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesFrom 2019-2023, the United States Food and Drug Administration has cleared 9 novel obstructive sleep apnea-detecting wearables for home sleep apnea testing, with many now commercially available for sleep clinicians to integrate into their clinical practices. To help clinicians comprehend these devices and their functionalities, we meticulously reviewed their operating mechanisms, sensors, algorithms, data output, and related performance evaluation literature.

methodsWe collected information from PubMed, United States Food and Drug Administration clearance documents, ClinicalTrials.gov, and web sources, with direct industry input whenever feasible.

resultsIn this "device-centered" review, we broadly categorized these wearables into 2 main groups: those that primarily harness photoplethysmography data and those that do not. The former include the peripheral arterial tonometry-based devices. The latter was further broken down into 2 key subgroups: acoustic-based and respiratory effort-based devices. We provided a performance evaluation literature review and objectively compared device-derived metrics and specifications pertinent to sleep clinicians. Detailed demographics of study populations, exclusion criteria, and pivotal statistical analyses of the key validation studies are summarized.

conclusionsIn the foreseeable future, these novel obstructive sleep apnea-detecting wearables may emerge as primary diagnostic tools for patients at risk for moderate-to-severe obstructive sleep apnea without significant comorbidities. While more devices are anticipated to join this category, there remains a critical need for cross-device comparison studies as well as independent performance evaluation and outcome research in diverse populations. Now is the moment for sleep clinicians to immerse themselves in understanding these emerging tools to ensure our patient-centered care is improved through the appropriate implementation and utilization of these novel sleep technologies. CITATION: Chiang AA, Jerkins E, Holfinger S, et al. OSA diagnosis goes wearable: are the latest devices ready to shine?

Indexed as

Sleep Apnea, ObstructiveWearable Electronic DevicesHumansPolysomnographyUnited Statesaccelerometryacousticapnea-hypopnea index (AHI)artificial intelligence (AI)home sleep apnea testing (HSAT)obstructive sleep apnea (OSA)peripheral arterial tonometry (PAT)photoplethysmography (PPG)sleep technologywearable

Identifiers

PMID39132687
PMCPMC11530974

What OpenQuestion holds

Textmetadata
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.