FILE: Wearable ECG · OPENED JUL 18 2026 · REV 1 LIVE FILE

Wearable ECG Research Desk

What the evidence shows about wearable AFib detection and stroke-risk screening — rated by strength of evidence, updated as new studies publish.

wearable ECG hub Evidence files: HRV·RHR·Sleep·VO2 Max·CGM·Recovery·Activity·Blood Oxygen·Respiratory Rate·Stress·Temperature

Do consumer wearables accurately detect atrial fibrillation?

KnowYourPrime evidence rating Established Strong, consistent evidence supports the claim.

Consumer wearable ECG and PPG-based devices can accurately detect atrial fibrillation compared with clinical reference monitoring.

Systematic-review or meta-analytic evidence affirms the core relationship.
Multiple supporting studies are consistent with the core relationship.
Some evidence conflicts on secondary points that do not change the core direction.

What would change this rating

A new core-hitting conflicting study, a retraction of an anchor, or a failed replication would lower this rating.

65 studies scored · 7 anchor · 33 supporting · 2 conflicting · Last reviewed Sep 4, 2026

Does wearable-based AF screening improve clinical outcomes like stroke prevention?

KnowYourPrime evidence rating Uncertain Evidence is conflicting, inconsistent, or difficult to interpret.

Population-level screening for atrial fibrillation using wearable or ambulatory ECG technology reduces stroke and related clinical harms.

Systematic-review or meta-analytic evidence affirms the core relationship.
Multiple supporting studies are consistent with the core relationship.
An anchor study is present but its own reported finding does not cleanly affirm this claim, so it does not count toward the Established threshold.
A clean anchor supports this claim, but an unresolved conflicting study contradicts it on the core relationship, so the evidence is treated as in genuine dispute.
Null-result evidence bears directly on the claimed effect.

22 studies scored · 5 anchor · 13 supporting · 1 conflicting · 1 null-result · Last reviewed Sep 4, 2026

Studies in Pool85

Claims Rated2

Last PubMed SyncSep 4, 2026

Next Scheduled ReviewSep 11, 2026

7 systematic reviews 16 RCTs 38 observational 4 validity studies 20 other

MAINTAINED BY The KnowYourPrime Research Desk · reviewed against new evidence on a rolling basis

Evidence for: Consumer wearable ECG and PPG-based devices can accurately detect atrial fibrillation compared with clinical reference monitoring.

65 scored

Anchor Studies7

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

Journal

The New England journal of medicine · 2019

PMID

31722151

RCR

67.5

Citations

1,337

Study type

Clinical trial

Sample size

419,297 participants

adultaged

Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study.

Journal

Circulation · 2022

PMID

36148649

RCR

22.2

Citations

244

Study type

Primary study

Sample size

699 participants

adultfemale

Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation.

Journal

Journal of the American College of Cardiology · 2020

PMID

31487545

RCR

18.9

Citations

375

Study type

Primary study

Sample size

246,541 individuals

adultaged

Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study.

Journal

JACC. Clinical electrophysiology · 2023

PMID

36858690

RCR

16.5

Citations

123

Study type

Primary study

Sample size

201 patients

humansfemale

Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation.

Journal

Circulation. Arrhythmia and electrophysiology · 2020

PMID

31113234

RCR

9.0

Citations

167

Study type

Validity study

Sample size

24 patients

action potentialsaged

Diagnostic Accuracy of Smartwatches for the Detection of Cardiac Arrhythmia: Systematic Review and Meta-analysis.

Journal

Journal of medical Internet research · 2021

PMID

34448706

RCR

4.8

Citations

Study type

Meta-analysis

Sample size

424,371 subjects

atrial fibrillationhumans

Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.

Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024

PMID

38630867

RCR

6.3

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Supporting Studies33

How useful is the smartwatch ECG?

Journal

Trends in cardiovascular medicine · 2020

PMID

31706789

RCR

6.5

Citations

107

Study type

Review

Sample size

[ not stated in the abstract ]

action potentialsatrial fibrillation

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study.

Journal

American heart journal · 2021

PMID

33865810

RCR

5.0

Citations

Study type

Clinical trial

Sample size

455,699 participants

adultaged

Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation: A Systematic Review and Meta-analysis.

Journal

JAMA network open · 2020

PMID

32242908

RCR

4.1

Citations

Study type

Meta-analysis

Sample size

[ not stated in the abstract ]

adultaged

Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation: A systematic review and meta-analysis.

Journal

Archives of cardiovascular diseases · 2021

PMID

32921618

RCR

3.2

Citations

Study type

Meta-analysis

Sample size

[ not stated in the abstract ]

action potentialsaged

Atrial Fibrillation Detection and Atrial Fibrillation Burden Estimation via Wearables.

Journal

IEEE journal of biomedical and health informatics · 2022

PMID

34855603

RCR

3.8

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Accuracy of the Apple watch for detection of AF: A multicenter experience.

Journal

Journal of cardiovascular electrophysiology · 2023

PMID

36942773

RCR

3.3

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansfemale

Arrhythmias Other Than Atrial Fibrillation in Those With an Irregular Pulse Detected With a Smartwatch: Findings From the Apple Heart Study.

Journal

Circulation. Arrhythmia and electrophysiology · 2021

PMID

34565178

RCR

2.3

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

agedalgorithms

Consumer-grade wearable cardiac monitors: What they do well, and what needs work.

Journal

Cleveland Clinic journal of medicine · 2024

PMID

38167395

RCR

1.6

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.

Journal

JACC. Clinical electrophysiology · 2024

PMID

38340117

RCR

1.2

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Accuracy of pulsatile photoplethysmography applications or handheld devices vs. 12-lead ECG for atrial fibrillation screening: a systematic review and meta-analysis.

Journal

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2022

PMID

34775555

RCR

0.6

Citations

Study type

Meta-analysis

Sample size

[ not stated in the abstract ]

agedatrial fibrillation

Mobile health solutions for atrial fibrillation detection and management: a systematic review.

Journal

Clinical research in cardiology : official journal of the German Cardiac Society · 2022

PMID

34549333

RCR

6.3

Citations

Study type

Systematic review

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis.

Journal

Yonsei medical journal · 2022

PMID

35040610

RCR

6.3

Citations

Study type

Meta-analysis

Sample size

n = 62

algorithmsartificial intelligence

Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review.

Journal

Heart rhythm · 2022

PMID

35276320

RCR

5.9

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

adultatrial fibrillation

Clinical evaluation and diagnostic yield following evaluation of abnormal pulse detected using Apple Watch.

Journal

Journal of the American Medical Informatics Association : JAMIA · 2021

PMID

32979046

RCR

2.8

Citations

Study type

Primary study

Sample size

n = 12

adultaged

Direct-to-consumer detection of atrial fibrillation in a smartwatch electrocardiogram: Medical overuse, medicalisation and the experience of consumers.

Journal

Social science & medicine (1982) · 2022

PMID

35569232

RCR

1.9

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial.

Journal

Lancet (London, England) · 2022

PMID

36179758

RCR

17.9

Citations

205

Study type

Clinical trial

Sample size

370 patients

agedartificial intelligence

Detection of atrial fibrillation via adhesive single-lead ECG vs. Holter monitoring in embolic stroke of undetermined source: the AVANT-GARDE trial.

Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026

PMID

42365924

Citations

Study type

Comparative study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Photoplethysmography based atrial fibrillation detection: a continually growing field.

Journal

Physiological measurement · 2024

PMID

38530307

RCR

2.2

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Evaluation of an algorithm-guided photoplethysmography for atrial fibrillation burden using a smartwatch.

Journal

Pacing and clinical electrophysiology : PACE · 2024

PMID

38407298

RCR

1.7

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Screening for Atrial Fibrillation Using a Smartphone: Is There an App for That?

Journal

Journal of the American Heart Association · 2018

PMID

27444507

RCR

1.2

Citations

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Accurate, Automated Detection of Atrial Fibrillation in Ambulatory Recordings.

Journal

Cardiovascular engineering and technology · 2018

PMID

26850411

RCR

1.1

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

algorithmsatrial fibrillation

Electrocardiography Screening for Atrial Fibrillation: We Can Do Better.

Journal

JAMA cardiology · 2019

PMID

30087985

RCR

0.3

Citations

Sample size

[ not stated in the abstract ]

agedatrial fibrillation

Getting Smart About Wearable ECG Interpretation in the Clinic.

Journal

JACC. Clinical electrophysiology · 2022

PMID

35738856

RCR

0.2

Citations

Sample size

[ not stated in the abstract ]

electrocardiography, ambulatoryhumans

Contact-Free Atrial Fibrillation Screening With Attention Network.

Journal

IEEE journal of biomedical and health informatics · 2024

PMID

38412073

RCR

0.2

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Heartbeat: smartwatch devices for detection of atrial fibrillation.

Journal

Heart (British Cardiac Society) · 2021

PMID

32291312

RCR

0.0

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data.

Journal

JMIR medical informatics · 2026

PMID

42623177

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

atrial fibrillationhumans

The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation.

Journal

JACC. Clinical electrophysiology · 2020

PMID

30784691

RCR

7.4

Citations

154

Study type

Comparative study

Sample size

[ not stated in the abstract ]

agedaged, 80 and over

Machine learning detection of Atrial Fibrillation using wearable technology.

Journal

PloS one · 2020

PMID

31978173

RCR

2.4

Citations

Study type

Validity study

Sample size

[ not stated in the abstract ]

agedatrial fibrillation

Continuous heart rate monitoring for automatic detection of atrial fibrillation with novel bio-sensing technology.

Journal

Journal of electrocardiology · 2020

PMID

30476634

RCR

1.8

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

algorithmsatrial fibrillation

Accuracy of a Smartwatch to Assess Heart Rate Monitoring and Atrial Fibrillation in Stroke Patients.

Journal

Sensors (Basel, Switzerland) · 2023

PMID

37430546

RCR

1.7

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

agedfemale

Smartwatch-Based Heart Rate Detection in Atrial, Ventricular and Pulseless Arrhythmias.

Journal

Heart, lung & circulation · 2026

PMID

42350250

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansfemale

An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning.

Journal

Journal of electrocardiology · 2022

PMID

35918202

RCR

2.3

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanselectrocardiography

Smartwatch Based Atrial Fibrillation Detection from Photoplethysmography Signals.

Journal

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020

PMID

31946820

RCR

0.4

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

accelerometryalgorithms

Conflicting Studies2

Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER feasibility study.

Journal

PMID

38941497

RCR

0.9

Citations

Study type

Primary study

Sample size

185 participants

Bears on

Secondary point

humansatrial fibrillation

Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial.

Journal

American heart journal · 2024

PMID

37451355

RCR

0.6

Citations

Study type

Randomized controlled trial

Sample size

[ not stated in the abstract ]

Bears on

Secondary point

humansatrial fibrillation

Retired / Excluded23

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.

Journal

JMIR formative research · 2025

PMID

39791483

RCR

4.7

Citations

Study type

Validity study

Sample size

n = 78

humansmale

Validation of a Deep Learning Algorithm for Continuous, Real-Time Detection of Atrial Fibrillation Using a Wrist-Worn Device in an Ambulatory Environment.

Journal

Journal of the American Heart Association · 2024

PMID

37750558

RCR

2.6

Citations

Study type

Observational study

Sample size

117 patients

humansalgorithms

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

Journal

Heart & lung : the journal of critical care · 2025

PMID

40345017

Citations

Study type

Primary study

Sample size

120 patients

humansatrial fibrillation

Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trial.

Journal

Heart rhythm · 2024

PMID

38692342

RCR

0.5

Citations

Study type

Randomized controlled trial

Sample size

n = 16,306

humansatrial fibrillation

Precision prevention and the temporal disruption of evidence: the case of heart rate notifications from wearables.

Journal

Medicine, health care, and philosophy · 2026

PMID

41176530

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Clinical consequences of smartwatch implementation in a cardiology outpatient clinic.

Journal

Danish medical journal · 2025

PMID

40927828

Citations

Study type

Primary study

Sample size

50 patients

humansfemale

Realtime Diagnosis from Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation with Long Follow-Up (REGAL): Rationale and design of a pragmatic, decentralized, randomized controlled trial.

Journal

American heart journal · 2024

PMID

37913853

RCR

1.0

Citations

Study type

Clinical trial

Sample size

[ not stated in the abstract ]

agedhumans

Screening for undiagnosed atrial fibrillation using a single-lead electrocardiogram at primary care visits: patient uptake and practitioner perspectives from the VITAL-AF trial.

Journal

BMC primary care · 2023

PMID

37391738

RCR

1.0

Citations

Study type

Randomized controlled trial

Sample size

[ not stated in the abstract ]

humansfemale

Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring.

Journal

IEEE journal of biomedical and health informatics · 2024

PMID

38109250

RCR

0.6

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanssignal processing, computer-assisted

Role of digital health in detection and management of atrial fibrillation.

Journal

Heart (British Cardiac Society) · 2022

PMID

34344729

RCR

0.6

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

adolescentaged

Causes and clinical consequences of inappropriate shocks experienced by patients wearing a cardioverter-defibrillator.

Journal

Heart rhythm · 2023

PMID

37211148

RCR

0.6

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanselectric countershock

Screening for undiagnosed atrial fibrillation using an electronic health record‒based clinical prediction model: clinical pilot implementation initiative.

Journal

BMC medical informatics and decision making · 2024

PMID

39695540

RCR

0.2

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Clinical electrophysiology of the aging heart.

Journal

Expert review of cardiovascular therapy · 2022

PMID

35282746

RCR

0.2

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

agedaged, 80 and over

Wearable Electrocardiogram Technology: Help or Hindrance to the Modern Doctor?

Journal

JMIR cardio · 2025

PMID

39931024

RCR

1.7

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humanswearable electronic devices

The digital revolution in cardiovascular care should not escape scientific scrutiny: a discussion paper.

Journal

Contemporary nurse · 2026

PMID

41047280

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanswearable electronic devices

Atrial Fibrillation Detection on the Embedded Edge: Energy-Efficient Inference on a Low-Power Microcontroller.

Journal

Sensors (Basel, Switzerland) · 2025

PMID

41228824

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

atrial fibrillationhumans

Consumer-grade wearable devices in arrhythmia diagnostics for clinicians: where we are and where we are going.

Journal

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025

PMID

39863724

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humanswearable electronic devices

How to screen for atrial fibrillation on a community level: Recent advances.

Journal

Kardiologia polska · 2025

PMID

40792681

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Patient experiences with a smartwatch 1L-ECG versus traditional Holter monitoring for ambulatory cardiac rhythm monitoring: a qualitative study.

Journal

BMJ open · 2025

PMID

41360458

Citations

Study type

Comparative study

Sample size

[ not stated in the abstract ]

humansfemale

Validation of a wearable cuff-less wristwatch-type blood pressure monitoring device.

Journal

Scientific reports · 2021

PMID

33149118

RCR

2.2

Citations

Study type

Validity study

Sample size

[ not stated in the abstract ]

adultaged

Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring.

Journal

IEEE journal of biomedical and health informatics · 2024

PMID

38557616

RCR

1.2

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humanswearable electronic devices

Novel blood pressure monitoring methods: perspectives for achieving "perfect 24-h blood pressure management".

Journal

Hypertension research : official journal of the Japanese Society of Hypertension · 2023

PMID

37280261

RCR

1.2

Citations

Sample size

[ not stated in the abstract ]

humansblood pressure

Automated respiratory sinus arrhythmia measurement: Demonstration using executive function assessment.

Journal

Behavior research methods · 2019

PMID

28791596

RCR

0.4

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

attentionautonomic nervous system

Evidence for: Population-level screening for atrial fibrillation using wearable or ambulatory ECG technology reduces stroke and related clinical harms.

22 scored

Anchor Studies5

Clinical outcomes of atrial fibrillation screening: a meta-analysis of randomized controlled trials.

Journal

Annals of medicine · 2025

PMID

39862317

Citations

Study type

Meta-analysis

Sample size

458 participants

humansatrial fibrillation

Implantable loop recorder detection of atrial fibrillation to prevent stroke (The LOOP Study): a randomised controlled trial.

Journal

Lancet (London, England) · 2021

PMID

34469766

RCR

31.9

Citations

464

Study type

Primary study

Sample size

[ not stated in the abstract ]

agedanticoagulants

Clinical outcomes in systematic screening for atrial fibrillation (STROKESTOP): a multicentre, parallel group, unmasked, randomised controlled trial.

Journal

Lancet (London, England) · 2021

PMID

34469764

RCR

19.6

Citations

300

Study type

Randomized controlled trial

Sample size

n = 14

agedanticoagulants

Screening for Atrial Fibrillation in the Older Population: A Randomized Clinical Trial.

Journal

JAMA cardiology · 2022

PMID

33625468

RCR

11.0

Citations

169

Study type

Randomized controlled trial

Sample size

856 participants

agedaged, 80 and over

[title unavailable]

Sample size

[ not stated in the abstract ]

Supporting Studies13

Remote Screening for Asymptomatic Atrial Fibrillation: The AMALFI Randomized Clinical Trial.

Journal

JAMA · 2025

PMID

40878848

RCR

3.5

Citations

Study type

Randomized controlled trial

Sample size

044 individuals

agedaged, 80 and over

Smartphone-based screening for atrial fibrillation: a pragmatic randomized clinical trial.

Journal

Nature medicine · 2022

PMID

36031651

RCR

7.9

Citations

Study type

Randomized controlled trial

Sample size

[ not stated in the abstract ]

atrial fibrillationchild

Enhanced Detection and Prompt Diagnosis of Atrial Fibrillation Using Apple Watch: A Randomized Controlled Trial.

Journal

Journal of the American College of Cardiology · 2026

PMID

41569211

RCR

8.3

Citations

Study type

Randomized controlled trial

Sample size

2 men

humansatrial fibrillation

Risk-based screening for the evaluation of atrial fibrillation in general practice (R-BEAT): a randomized cross-over trial.

Journal

QJM : monthly journal of the Association of Physicians · 2025

PMID

39786890

Citations

Study type

Randomized controlled trial

Sample size

488 participants

humansatrial fibrillation

Atrial Fibrillation Screening According to Genetic Risk: A Secondary Analysis of the Randomized LOOP Study.

Journal

Journal of the American College of Cardiology · 2026

PMID

41159983

RCR

2.7

Citations

Study type

Randomized controlled trial

Sample size

n = 5,656

humansatrial fibrillation

Mobile health solutions for atrial fibrillation detection and management: a systematic review.

Journal

Clinical research in cardiology : official journal of the German Cardiac Society · 2022

PMID

34549333

RCR

6.3

Citations

Study type

Systematic review

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Atrial fibrillation.

Journal

Lancet (London, England) · 2026

PMID

41794418

RCR

3.7

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Effect of Screening for Undiagnosed Atrial Fibrillation on Stroke Prevention.

Journal

Journal of the American College of Cardiology · 2024

PMID

39230544

RCR

7.1

Citations

Study type

Randomized controlled trial

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke.

Journal

Stroke · 2018

PMID

28916671

RCR

1.3

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

age factorsatrial fibrillation

Screening for Atrial Fibrillation Comes With Many Snags.

Journal

JAMA internal medicine · 2019

PMID

30087984

RCR

0.9

Citations

Sample size

[ not stated in the abstract ]

atrial fibrillationhumans

Atrial Fibrillation Screening: The Tools Are Ready, But Should We Do It?

Journal

Circulation · 2022

PMID

35344406

RCR

0.4

Citations

Sample size

[ not stated in the abstract ]

atrial fibrillationelectrocardiography

Screening for Atrial Fibrillation: Closing the "LOOP".

Journal

Circulation · 2021

PMID

32392102

RCR

0.1

Citations

Sample size

[ not stated in the abstract ]

atrial fibrillationhumans

Opportunistic Screening for Subclinical Atrial Fibrillation: It Is Cost-Effective, but Is It Effective?

Journal

Circulation. Cardiovascular quality and outcomes · 2023

PMID

37905420

RCR

0.0

Citations

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

Conflicting Studies1

Overdiagnosis in atrial fibrillation screening with wearables.

Journal

Scandinavian journal of primary health care · 2026

PMID

42033454

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

Bears on

Core claim

humansanticoagulants

Null-Result Studies1

PPG-based smartphone application vs usual care for atrial fibrillation screening: A European multicenter randomized trial.

Journal

Heart rhythm · 2025

PMID

40769446

Citations

Study type

Randomized controlled trial

Sample size

n = 1

Bears on

Core claim

agedfemale

Retired / Excluded2

Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration.

Journal

Circulation · 2022

PMID

36343103

RCR

5.4

Citations

Study type

Review

Sample size

[ not stated in the abstract ]

humansaged

Precision prevention and the temporal disruption of evidence: the case of heart rate notifications from wearables.

Journal

Medicine, health care, and philosophy · 2026

PMID

41176530

Citations

Study type

Primary study

Sample size

[ not stated in the abstract ]

humansatrial fibrillation

01On Our Desk

In Progress

What we're reading right now

A study only enters a claim's evidence once it's read in full and weighed against what's already in file.

Identified

Queued

Under Review

Extracted

Pending Consensus

Nothing on the desk this cycle.

02Research Log

JUL 18 2026

doi:10.1001/jamanetworkopen.2020.2064 entered as supporting on the detection accuracy claim.

doi:10.1007/s00392-021-01941-9 entered as supporting on the detection accuracy claim.

doi:10.1007/s10840-021-01068-x entered as supporting on the detection accuracy claim.

doi:10.1007/s11019-025-10308-0 entered as supporting on the detection accuracy claim.

doi:10.1016/j.acvd.2020.05.015 entered as supporting on the detection accuracy claim.

doi:10.1016/j.ahj.2021.04.003 entered as supporting on the detection accuracy claim.

doi:10.1016/j.ahj.2023.07.003 entered as conflicting on the detection accuracy claim.

doi:10.1016/j.hrthm.2022.02.030 entered as supporting on the detection accuracy claim.

doi:10.1016/j.hrthm.2024.04.085 entered as supporting on the detection accuracy claim.

doi:10.1016/j.hrtlng.2025.04.032 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jacc.2019.08.019 entered as anchor on the detection accuracy claim.

doi:10.1016/j.jacep.2022.09.011 entered as anchor on the detection accuracy claim.

doi:10.1016/j.jacep.2024.01.008 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jstrokecerebrovasdis.2026.108693 entered as supporting on the detection accuracy claim.

doi:10.1016/j.socscimed.2022.114954 entered as supporting on the detection accuracy claim.

doi:10.1016/j.tcm.2019.10.010 entered as supporting on the detection accuracy claim.

doi:10.1016/s0140-6736(22)01637-3 entered as supporting on the detection accuracy claim.

doi:10.1056/nejmoa1901183 entered as anchor on the detection accuracy claim.

doi:10.1093/europace/euae065 entered as anchor on the detection accuracy claim.

doi:10.1093/europace/euae181 entered as conflicting on the detection accuracy claim.

doi:10.1093/jamia/ocaa137 entered as supporting on the detection accuracy claim.

doi:10.1109/jbhi.2021.3131984 entered as supporting on the detection accuracy claim.

doi:10.1111/jce.15892 entered as supporting on the detection accuracy claim.

doi:10.1161/circep.118.006834 entered as anchor on the detection accuracy claim.

doi:10.1161/circep.121.010063 entered as supporting on the detection accuracy claim.

doi:10.1161/circulationaha.122.060291 entered as anchor on the detection accuracy claim.

doi:10.1161/jaha.123.030543 entered as supporting on the detection accuracy claim.

doi:10.2196/28974 entered as anchor on the detection accuracy claim.

doi:10.2196/65139 entered as supporting on the detection accuracy claim.

doi:10.3349/ymj.2022.63.s93 entered as supporting on the detection accuracy claim.

doi:10.3949/ccjm.91a.23030 entered as supporting on the detection accuracy claim.

doi:10.61409/a12240906 entered as supporting on the detection accuracy claim.

doi:10.1001/jama.2025.15440 entered as supporting on the screening outcomes claim.

doi:10.1001/jamacardio.2021.0038 entered as anchor on the screening outcomes claim.

doi:10.1007/s00392-021-01941-9 entered as supporting on the screening outcomes claim.

doi:10.1007/s11019-025-10308-0 entered as supporting on the screening outcomes claim.

doi:10.1016/j.hrthm.2025.07.060 entered as null_result on the screening outcomes claim.

doi:10.1016/j.jacc.2025.09.024 entered as supporting on the screening outcomes claim.

doi:10.1016/j.jacc.2025.11.032 entered as supporting on the screening outcomes claim.

doi:10.1016/s0140-6736(21)01637-8 entered as anchor on the screening outcomes claim.

doi:10.1016/s0140-6736(21)01698-6 entered as anchor on the screening outcomes claim.

doi:10.1016/s0140-6736(25)02166-x entered as supporting on the screening outcomes claim.

doi:10.1038/s41591-022-01979-w entered as supporting on the screening outcomes claim.

doi:10.1080/02813432.2026.2656694 entered as conflicting on the screening outcomes claim.

doi:10.1080/07853890.2025.2457522 entered as anchor on the screening outcomes claim.

doi:10.1093/qjmed/hcaf001 entered as supporting on the screening outcomes claim.

doi:10.1161/circulationaha.121.058911 entered as supporting on the screening outcomes claim.

JUL 18 2026

doi:10.1016/j.ahj.2023.07.003 entered as a conflicting study on the detection accuracy claim, flagged as bearing on a secondary point, not the core direction.

Because it does not hit the core claim, it does not cap the rating and is tracked as an open question.

JUL 18 2026

doi:10.1093/europace/euae181 entered as a conflicting study on the detection accuracy claim, flagged as bearing on a secondary point, not the core direction.

Because it does not hit the core claim, it does not cap the rating and is tracked as an open question.

JUL 18 2026

doi:10.1016/j.hrthm.2025.07.060 entered as a null result study on the screening outcomes claim, bearing on the core claim.

It caps the rating until reconciled.

JUL 18 2026

doi:10.1080/02813432.2026.2656694 entered as a conflicting study on the screening outcomes claim, bearing on the core claim.

It caps the rating until reconciled.

JUL 30 2026

doi:10.1007/s10840-025-01994-0 entered as retired on the detection accuracy claim.

doi:10.1007/s11019-025-10308-0 entered as retired on the detection accuracy claim.

doi:10.1016/j.ahj.2023.10.005 entered as retired on the detection accuracy claim.

doi:10.1016/j.hrthm.2023.03.1604 entered as retired on the detection accuracy claim.

doi:10.1016/j.hrthm.2024.04.085 entered as retired on the detection accuracy claim.

doi:10.1016/j.hrtlng.2025.04.032 entered as retired on the detection accuracy claim.

doi:10.1080/10376178.2025.2566664 entered as retired on the detection accuracy claim.

doi:10.1080/14779072.2022.2045196 entered as retired on the detection accuracy claim.

doi:10.1109/jbhi.2023.3344187 entered as retired on the detection accuracy claim.

doi:10.1136/bmjopen-2025-101557 entered as retired on the detection accuracy claim.

doi:10.1136/heartjnl-2020-318262 entered as retired on the detection accuracy claim.

doi:10.1161/jaha.123.030543 entered as retired on the detection accuracy claim.

doi:10.1186/s12875-023-02087-5 entered as retired on the detection accuracy claim.

doi:10.1186/s12911-024-02773-z entered as retired on the detection accuracy claim.

doi:10.2196/62719 entered as retired on the detection accuracy claim.

doi:10.2196/65139 entered as retired on the detection accuracy claim.

doi:10.3390/s25216601 entered as retired on the detection accuracy claim.

doi:10.33963/v.phj.107879 entered as retired on the detection accuracy claim.

doi:10.61409/a12240906 entered as retired on the detection accuracy claim.

doi:10.1007/s11019-025-10308-0 entered as retired on the screening outcomes claim.

doi:10.1161/circulationaha.121.058911 entered as retired on the screening outcomes claim.

AUG 7 2026

doi:10.1038/s41598-020-75892-y entered as retired on the detection accuracy claim.

doi:10.1056/nejmoa1901183 entered as anchor on the detection accuracy claim.

doi:10.1088/1361-6579/ad37ee entered as supporting on the detection accuracy claim.

doi:10.1016/j.jacc.2024.08.019 entered as supporting on the screening outcomes claim.

AUG 21 2026

doi:10.1001/jamacardio.2018.2200 entered as supporting on the detection accuracy claim.

doi:10.1007/s13239-016-0256-z entered as supporting on the detection accuracy claim.

doi:10.1016/j.acvd.2020.05.015 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jacep.2022.03.018 entered as supporting on the detection accuracy claim.

doi:10.1038/s41440-023-01329-4 entered as retired on the detection accuracy claim.

doi:10.1038/s41598-020-75892-y entered as retired on the detection accuracy claim.

doi:10.1056/nejmoa1901183 entered as anchor on the detection accuracy claim.

doi:10.1109/jbhi.2024.3368049 entered as supporting on the detection accuracy claim.

doi:10.1109/jbhi.2024.3383232 entered as retired on the detection accuracy claim.

doi:10.1111/pace.14951 entered as supporting on the detection accuracy claim.

doi:10.1136/heartjnl-2020-316958 entered as supporting on the detection accuracy claim.

doi:10.1161/jaha.116.004000 entered as supporting on the detection accuracy claim.

doi:10.2196/87142 entered as supporting on the detection accuracy claim.

doi:10.3758/s13428-017-0950-2 entered as retired on the detection accuracy claim.

doi:10.1001/jamainternmed.2018.4038 entered as supporting on the screening outcomes claim.

doi:10.1161/circoutcomes.123.010485 entered as supporting on the screening outcomes claim.

doi:10.1161/circulationaha.120.046298 entered as supporting on the screening outcomes claim.

doi:10.1161/circulationaha.121.058369 entered as supporting on the screening outcomes claim.

doi:10.1161/strokeaha.117.017083 entered as supporting on the screening outcomes claim.

SEP 4 2026

doi:10.1016/j.acvd.2020.05.015 entered as supporting on the detection accuracy claim.

doi:10.1016/j.hlc.2026.02.016 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jacep.2018.10.006 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jelectrocard.2018.10.096 entered as supporting on the detection accuracy claim.

doi:10.1016/j.jelectrocard.2022.07.069 entered as supporting on the detection accuracy claim.

doi:10.1109/embc.2019.8856928 entered as supporting on the detection accuracy claim.

doi:10.1371/journal.pone.0227401 entered as supporting on the detection accuracy claim.

doi:10.3390/s23104632 entered as supporting on the detection accuracy claim.

doi:10.1016/S0140-6736(21)01637-8 entered as anchor on the screening outcomes claim.

04Revision Log

JUL 18 2026

screening outcomes: opened at Uncertain

Opened at Uncertain by rule from the current evidence for: Screening asymptomatic individuals for atrial fibrillation using wearable or ambulatory ECG monitoring reduces stroke or systemic embolism..

JUL 18 2026

detection accuracy: opened at Established

Opened at Established by rule from the current evidence for: Wearable-derived ECG or PPG signals detect atrial fibrillation with accuracy comparable to clinical reference standards..

This page interprets published research. It is not medical advice. The KnowYourPrime Research Desk rates the evidence supporting a claim, not the claim itself. It does not diagnose or treat. Talk to your own doctor about your health.