Trial reportBMC cardiovascular disorders2016
Electrocardiographic and Echocardiographic predictors of paroxysmal atrial fibrillation detected after ischemic stroke.
Trial report in BMC cardiovascular disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01325545 (Detection of Occult Paroxysmal Atrial Fibrillation in Patients With Cryptogenic Stroke or TIA Using 21-Day Mobile Cardiac Outpatient Telemetry), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.
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.
Detection of Occult Paroxysmal Atrial Fibrillation in Patients With Cryptogenic Stroke or TIA Using 21-Day Mobile Cardiac Outpatient Telemetry
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Atrial strain and occult atrial fibrillation in cryptogenic stroke patients: a systematic review and meta-analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2023Pooled it
- Electrocardiographic Predictors of Atrial Fibrillation.Medical sciences (Basel, Switzerland) · 2023Pooled it
- Predictive value of P wave terminal force in lead V1 for atrial fibrillation: A meta-analysis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020Pooled it
- Arterial Stiffness and Indices of Left Ventricular Diastolic Dysfunction in Patients with Embolic Stroke of Undetermined Etiology.Disease markers · 2019Trial
- Post-Liver Transplantation Atrial Fibrillation: Insights into Clinical and ECG Predictors.Annals of transplantation · 2025Article
- Brain natriuretic peptide and echocardiographic parameters as biomarkers for predicting new atrial fibrillation detection after acute ischemic stroke.Therapeutic advances in neurological disorders · 2025Article
- Stroke-heart syndrome: current progress and future outlook.Journal of neurology · 2024Review
- Relationship between simple electrocardiographic parameter and paroxysmal atrial fibrillation.ARYA atherosclerosis · 2024Article
- Initial In-Hospital Visit-to-Visit Heart Rate Variability Is Associated with Higher Risk of Atrial Fibrillation in Patients with Acute Ischemic Stroke.Journal of clinical medicine · 2023Article
- European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin.European stroke journal · 2022Article
- Development and Validation of a Novel Score for Predicting Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke.International journal of environmental research and public health · 2022Article
- Electrocardiographic predictors of early recurrence of atrial fibrillation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021Article
- Metabolism pathways of arachidonic acids: mechanisms and potential therapeutic targets.Signal transduction and targeted therapy · 2021Review
- Newer Diagnostic and Cost-Effective Ways to Identify Asymptomatic Atrial Fibrillation for the Prevention of Stroke.Cureus · 2021Review
- Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion.Frontiers in neurology · 2021Review
- Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database.Northern clinics of Istanbul · 2020Article
- Atrial time and voltage dispersion are both needed to predict new-onset atrial fibrillation in ischemic stroke patients.BMC cardiovascular disorders · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDetection of atrial fibrillation after ischemic stroke is challenging due to its paroxysmal nature. We aimed to assess predictors of paroxysmal atrial fibrillation using non-invasive surface ECG and transthoracic echocardiography to select candidates for atrial fibrillation screening.
methodsIschemic stroke patients without documented atrial fibrillation (n = 110, 67 ± 10 years, 40 female) and a control group of age- and gender-matched patients with history of paroxysmal atrial fibrillation prior to stroke (n = 55, 67 ± 10 years, 19 female) comprised the study sample. Using non-invasive ECG monitoring for three weeks, short episodes of paroxysmal atrial fibrillation were detected in 24 of 110 patients (22 %). The standard 12-lead ECG with sinus rhythm at stroke onset was digitally processed and analyzed. Transthoracic echocardiography data were reviewed for these patients.
resultsAtrial fibrillation history was independently associated with P terminal force in lead V 1 > 40 mm*ms (OR 4.04 95 % CI 1.34-12.14, p = 0.013) and left atrial volume index (OR 1.08 95 % CI 1.03-1.13, p = 0.002; for LAVI > 40 mL/m
conclusionIn a post hoc analysis, left atrial dilatation assessed by left atrial volume index independently predicted atrial fibrillation after stroke in patients without prior atrial fibrillation history, while the other clinical or ECG markers were not predictive of atrial fibrillation detected early after ischemic stroke.
trial registrationThis study is a post hoc analysis from the prospective case-control study registered in December 2011, ClinicalTrials.gov ID: NCT01325545 .
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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.