Evidence map›Paper›PMID 38496326›Full record

ArticleJournal of multidisciplinary healthcare2024

Accuracy of Apple Watch to Measure Cardiovascular Indices in Patients with Chronic Diseases: A Cross Sectional Study.

Alaa Abdulhafiz Khushhal, Ashraf Abdelaal Mohamed, Mahmoud Elshahat Elsayed

Registry-linked trialAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05271864 (Accuracy of Apple Watch to Measure Cardiovascular Indices in Patients With Chronic Diseases), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT05271864 completednot on this map

Accuracy of Apple Watch to Measure Cardiovascular Indices in Patients With Chronic Diseases: A Cross Sectional Study

TypeobservationalSponsorUmm Al-Qura UniversityRan2022 to 2023Enrolled41ConditionsChronic DiseaseArmsApple Watch
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
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

3 authors.

Alaa Abdulhafiz KhushhalDepartment of Medical Rehabilitation Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0000-0003-4690-1042
Ashraf Abdelaal MohamedDepartment of Medical Rehabilitation Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.
Mahmoud Elshahat ElsayedCardiology Department, Umm Al-Qura University Medical Center, Umm Al-Qura University, Makkah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The validity of the Apple Watch to measure the heart rate (HR) and oxygen saturation (Spo Methods: Forty-one patients with chronic diseases, including 20 with hypertension, 10 with diabetes, and 11 with dyslipidemia, completed a cross-sectional study. All participants used the Apple Watch against the Polar chest strap and the pulse oximeter at rest and during moderate intensity exercise sessions to measure HR and the SpO2 at rest for 5 minutes, during exercise for 16 minutes, and followed by 3 minutes of rest. The HR was measured during all previous periods, but evaluation of the Spo Results: Overall, a strong correlation exists between measuring the SpO2 using the Apple Watch against the pulse oximeter (Contec) at rest (r = 0.92, p < 0.001) and after exercise (r = 0.86, p < 0.001) in all patients. The HR had a very strong correlation between the Apple Watch and the Polar chest strap (r = 0.99, p < 0.001) in all patients. There was no significant difference (p = 0.76) between the twenty-seven white and fourteen brown-skinned patients. Conclusion: The Apple Watch is valid to measure the HR and SpO2 in patients with chronic diseases. Clinical Trial Registration No: NCT05271864.

Indexed as

diabetes mellitusdyslipidemiaheart ratehypertensionoxygen saturation

Identifiers

PMID38496326
PMCPMC10941792

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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.