Evidence map›Paper›PMID 40206673›Full record

ArticleMayo Clinic proceedings. Digital health2024

Accuracy of Smartwatch Pulse Oximetry Measurements in Hospitalized Patients With Coronavirus Disease 2019.

Kevin Rajakariar, Paul Buntine, Andrew Ghaly, Zheng Cheng Zhu, Vihangi Abeygunawardana, Sarah Visakhamoorthy, Patrick J Owen, Shaun Tham, Liam Hackett, Louise Roberts and 3 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

13 authors.

Kevin RajakariarDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Paul BuntineDepartment of Emergency Medicine, Eastern Health, Melbourne, Victoria, Australia.
Andrew GhalyDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Zheng Cheng ZhuDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Vihangi AbeygunawardanaDepartment of Cardiology, Austin Health, Melbourne, Victoria, Australia.
Sarah VisakhamoorthyDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Patrick J OwenDepartment of Emergency Medicine, Eastern Health, Melbourne, Victoria, Australia.
Shaun ThamDepartment of Emergency Medicine, Eastern Health, Melbourne, Victoria, Australia.
Liam HackettDepartment of Emergency Medicine, Eastern Health, Melbourne, Victoria, Australia.
Louise RobertsDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Jithin K SajeevDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.
Nicholas JonesDepartment of Cardiology, Austin Health, Melbourne, Victoria, Australia.
Andrew W TehDepartment of Cardiology, Eastern Health, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the ability of 2 commercially available smartwatches to accurately detect clinically significant hypoxia in patients hospitalized with coronavirus-19 (COVID-19). Patients and Methods: A prospective multicenter validation study was performed from November 1, 2021, to August 31, 2022, assessing the Apple Watch Series 7 and Withings ScanWatch inbuilt pulse oximetry, against simultaneous ward-based oximetry as the reference standard. Patients hospitalized with active COVID-19 infection not requiring intensive care admission were recruited. Results: A total of 750 smartwatch pulse oximetry measurements and 400 ward oximetry readings were successfully obtained from 200 patients (male 54%, age 66±18 years). For the detection of clinically significant hypoxia, the Apple Watch had a sensitivity and specificity of 34.8% and 97.5%, respectively with a positive predictive value of 78.1% and negative predictive value of 85.6%. The Withings ScanWatch had a sensitivity and specificity of 68.5% and 80.8%, respectively with a positive predictive value of 44.7% and negative predictive value of 91.9%. The overall accuracy was 84.9% for the Apple Watch and 78.5% for the Withings ScanWatch. The Spearman rank correlation coefficients reported a moderate correlation to ward-based photoplethysmography (Apple: r Conclusion: Although smartwatches are able to provide SpO

Identifiers

PMID40206673
PMCPMC11975978

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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.