SynthesisOpen heart2022
A meta-analysis of extended ECG monitoring in detection of atrial fibrillation in patients with cryptogenic stroke.
Synthesis in Open heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- External Validation of Published Scoring Systems to Predict Incident Atrial Fibrillation After Cryptogenic Stroke/Embolic Stroke of Undetermined Source.Journal of the American Heart Association · 2026Observational
- Screening of Atrial Fibrillation in Cryptogenic Ischemic Stroke-Does Timing Make the Difference?European journal of neurology · 2026Article
- Dynamical systems and fractal geometry applied to cardiac dynamics analysis in the Peruvian population.Frontiers in cardiovascular medicine · 2026Article
- The Importance of Timing in Performing a Holter ECG in Patients Diagnosed with an Embolic Stroke of Undetermined Source.Biomedicines · 2025Article
- Article
- Review
- Comparing the outcomes and costs of cardiac monitoring with implantable loop recorders and mobile cardiac outpatient telemetry following stroke using real-world evidence.Journal of comparative effectiveness research · 2024Article
- Impact of an expanded reimbursement policy on utilization of implantable loop recorders in patients with cryptogenic stroke in Korea.The Korean journal of internal medicine · 2024Article
- Left Atrial Mechanical Dysfunction Is Associated With Atrial Fibrillation and Recurrent Stroke After Cryptogenic Stroke.Journal of stroke · 2024Article
- Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?Journal of clinical medicine · 2024Review
- Stroke in Patients with Atrial Fibrillation: Epidemiology, Screening, and Prognosis.Journal of clinical medicine · 2023Review
- Diagnosis and Management of Atrial Fibrillation in Acute Ischemic Stroke in the Setting of Reperfusion Therapy: Insights and Strategies for Optimized Care.Journal of cardiovascular development and disease · 2023Review
- Atrial Fibrillation and Reperfusion Therapy in Acute Ischaemic Stroke Patients: Prevalence and Outcomes-A Comprehensive Systematic Review and Meta-Analysis.Neurology international · 2023Article
- Unveiling the silent enemy: Revisiting post-stroke AF detection.Indian pacing and electrophysiology journalArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this systematic review is to evaluate the various modalities available for extended ECG monitoring in the detection of atrial fibrillation (AF) following a cryptogenic stroke.
methodsMEDLINE (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL) were searched from January 2011 to November 2021. All randomised controlled trials and prospective cohort studies including the use of extended ECG monitoring >24 hours with a minimum duration of AF of 30 s in patients with either cryptogenic strokes or transient ischaemic attacks were included. A random-effects model was used to pool effect estimates of AF detection rates from different ECG modalities.
results3924 studies were identified, of which 47 were included reporting on a pooled population of 6448 patients with cryptogenic stroke. The pooled AF rate for implantable loop recorders (ILRs) increased from 4.9% (3.0%-7.9%) at 1 month to 38.4% (20.4%-60.2%) at 36 months. Mobile cardiac outpatient telemetry (MCOT) had a significantly higher pooled AF detection rate of 12.8% (8.9%-17.9%) versus 4.9% (3.0%-7.9%) for ILR at 1 month (p<0.0001). Predictors for AF detection include duration of monitoring (p<0.0001) and age (p<0.0001) for ILRs, but only age for MCOTs (p<0.020).
conclusionMCOT has a higher rate of detection at 1 month and is less invasive. Beyond 1 month, compliance becomes a significant limitation for MCOT. MCOT may be a reasonable alternative AF screening tool for patients with cryptogenic stroke if ILR is not available. PROSPERO REGISTRATION NUMBER: CRD42022297782.
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