Evidence map›Paper›PMID 40673279›Full record

ArticleMayo Clinic proceedings. Digital health2025

Racial and Ethnic Representation and Study Engagement in a Siteless Digital Clinical Trial Using a Smartwatch: Findings From the Apple Heart Study.

Kaylin T Nguyen, Jingzhi Yu, Haley Hedlin, Adam T Phillips, Sumbul Desai, Lauren Cheung, Peter R Kowey, Sneha S Jain, John S Rumsfeld, Andrea M Russo and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03335800 (Apple Heart Study), which is not on this map. Not yet cited in PubMed.

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

NCT03335800 nacompletednot on this map

Apple Heart Study: Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias

TypeinterventionalSponsorApple Inc.Ran2017 to 2019Enrolled419,927ConditionsAtrial Fibrillation, Arrhythmias, Cardiac, Atrial FlutterArmsApple Heart Study App
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Kaylin T NguyenDivision of Cardiovascular Medicine, Olive View-UCLA Medical Center, Sylmar, CA.
Jingzhi YuQuantitative Sciences Unit, Stanford University, Stanford, CA.
Haley HedlinQuantitative Sciences Unit, Stanford University, Stanford, CA.
Adam T PhillipsApple Inc, Cupertino, CA.
Sumbul DesaiApple Inc, Cupertino, CA.
Lauren CheungApple Inc, Cupertino, CA.
Peter R KoweyLankenau Heart Institute and Jefferson Medical College, Philadelphia, PA.
Sneha S JainDivision of Cardiovascular Medicine, Stanford University, Stanford, CA.
John S RumsfeldSchool of Medicine, University of Colorado, Aurora, CO.
Andrea M RussoDivision of Cardiovascular Disease, Cooper Medical School of Rowan University, Camden, NJ.
Christopher B GrangerDuke Clinical Research Institute, Duke University, Durham, NC.
Mellanie True HillsStopAfib.org, American Foundation for Women's Health, Decatur, TX.
Manisha DesaiQuantitative Sciences Unit, Stanford University, Stanford, CA.
Kenneth W MahaffeyDivision of Cardiovascular Medicine, Stanford University, Stanford, CA.
Mintu P TurakhiaDivision of Cardiovascular Medicine, Stanford University, Stanford, CA.
Marco V PerezDivision of Cardiovascular Medicine, Stanford University, Stanford, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate differences in study engagement in diverse racial/ethnic groups that have been significantly underrepresented in atrial fibrillation and digital clinical trials. Patients and Methods: This was a secondary analysis of participants from the Apple Heart Study, a prospective, siteless, single-arm pragmatic clinical trial from November 29, 2017, to January 31, 2019. Black, Hispanic, Asian, and White participants were monitored using an irregular rhythm notification algorithm designed to detect atrial fibrillation on a smartwatch. Logistic regression was performed to evaluate the relationship between race/ethnicity and completion of the first study visit after an irregular rhythm notification, adjusting for demographic characteristics and comorbidities. Results: Of the 419,297 participants, 393,396 (93.8%) individuals self-identified as White, Black, Hispanic, or Asian. Overall, participants were 57% men and had a mean (SD) age of 41 (13) years. Among 2044 (0.52%) participants who received an irregular rhythm notification, non-White participants had lower odds of completing the initial virtual study visit compared with White participants (Black: OR, 0.61; 95% CI, 0.39-0.94; Hispanic: OR, 0.62; 95% CI, 0.40-0.95; Asian: OR, 0.40; 95% CI, 0.23-0.66) after multivariate adjustment. Among those who completed the initial study visit, there was no statistically significant difference in the odds of returning the electrocardiogram patch in the non-White groups compared with that of the White group. Conclusion: Despite successful recruitment of racially and ethnically diverse participants, there were differences in subsequent engagement by non-White compared with that by White participants. Equitable representation and engagement of diverse racial and ethnic groups in digital clinical studies requires further study. Trial Registration: Clinicaltrials.gov Identifier: NCT03335800.

Identifiers

PMID40673279
PMCPMC12264615

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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.