Evidence map›Paper›PMID 35265913›Full record

ArticleCardiovascular digital health journal2021

Smartwatch monitoring for atrial fibrillation after stroke-The Pulsewatch Study: Protocol for a multiphase randomized controlled trial.

Emily L Dickson, Eric Y Ding, Jane S Saczynski, Dong Han, Majaz Moonis, Timothy P Fitzgibbons, Bruce Barton, Ki Chon, David D McManus

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cardiovascular digital health journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Emily L DicksonCollege of Osteopathic Medicine, Des Moines University, Des Moines, Iowa.
Eric Y DingDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Jane S SaczynskiDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, Massachusetts.
Dong HanDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.
Majaz MoonisDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Timothy P FitzgibbonsDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Bruce BartonDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.
Ki ChonDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.
David D McManusCollege of Osteopathic Medicine, Des Moines University, Des Moines, Iowa.
University of Massachusetts Chan Medical School · USDes Moines University Osteopathic Medical Center · USUniversity of Connecticut · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) is a common heart rhythm disorder that elevates stroke risk. Stroke survivors undergo routine heart rhythm monitoring for AF. Smartwatches are capable of AF detection and potentially can replace traditional cardiac monitoring in stroke patients. Objective: The goal of Pulsewatch is to assess the accuracy, usability, and adherence of a smartwatch-based AF detection system in stroke patients. Methods: The study will consist of two parts. Part I will have 6 focus groups with stroke patients, caretakers, and physicians, and a Hack-a-thon, to inform development of the Pulsewatch system. Part II is a randomized clinical trial with 2 phases designed to assess the accuracy and usability in the first phase (14 days) and adherence in the second phase (30 days). Participants will be randomized in a 3:1 ratio (intervention to control) for the first phase, and both arms will receive gold-standard electrocardiographic (ECG) monitoring. The intervention group additionally will receive a smartphone/smartwatch dyad with the Pulsewatch applications. Upon completion of 14 days, participants will be re-randomized in a 1:1 ratio. The intervention group will receive the Pulsewatch system and a handheld ECG device, while the control group will be passively monitored. Participants will complete questionnaires at enrollment and at 14- and 44-day follow-up visits to assess various psychosocial measures and health behaviors. Results: Part I was completed in August 2019. Enrollment for Part II began September 2019, with expected completion by the end of 2021. Conclusion: Pulsewatch aims to demonstrate that a smartwatch can be accurate for real-time AF detection, and that older stroke patients will find the system usable and will adhere to monitoring.

Indexed as

Atrial fibrillationCommercial wearable devicePhotoplethysmographyStroke

Identifiers

PMID35265913
PMCPMC8890084
OpenAlexW3182091196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.