Trial reportJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2017
The Dx-AF study: a prospective, multicenter, randomized controlled trial comparing VDD-ICD to VVI-ICD in detecting sub-clinical atrial fibrillation in defibrillator patients.
Trial report in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Atrial Fibrillation Risk Management and Emerging Therapies.Journal of clinical medicine · 2026Review
- A prospective, multicenter, randomized controlled trial comparing VDD-ICD with VVI-ICD in detecting subclinical atrial fibrillation in patients with ICDs: The Dx-AF trial.Heart rhythm O2 · 2024Article
- The utilization of atrial sensing dipole in single lead implantable cardioverter defibrillator for detection of new-onset atrial high-rate episodes or subclinical atrial fibrillation: A systematic review and meta-analysis.Journal of arrhythmia · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAtrial fibrillation (AF) is the most common cardiac dysrhythmia. Appropriate detection of AF and early initiation of oral anticoagulation therapy are critical to reduce the risk of stroke. Patients with implantable cardioverter defibrillators (ICD) are at high risk of developing AF. The purpose of the Dx-AF study is to demonstrate that a novel single-lead VDD-ICD system (Linox smart S DX) will facilitate adequate recognition of sub-clinical AF and ultimately stroke prevention with a comparable safety profile in comparison to VVI-ICD. METHODS AND
resultsDx-AF is a prospective, randomized controlled, open-label trial. Patients who are indicated to receive a single-chamber ICD will be randomized to a VDD-ICD (experimental group) or single-chamber ICD (control group). We have used a sample size of 355, which after generous allowance for loss-to-follow-up, yields a sample size of 378 patients at up to 13 Canadian sites. The trial will enroll patients with ischemic or non-ischemic cardiomyopathy, age > 50 years, LVEF < 50%, scheduled for primary or secondary prevention single-chamber ICD, with no ECG-documented history of AF or flutter. The primary (efficacy) outcome of this study will be the time to the first detected and confirmed episode of AF or atrial flutter lasting at least 6 min. The secondary (safety) outcome will be a composite outcome of serious device-related complications. The proposed follow-up period in this trial will be 36 months after randomization.
conclusionsThe Dx-AF Study should provide significant scientific evidence and guidance to an adequate ICD system choice and early AF detection/management hence improve clinical outcomes in a large patient population.
Indexed as
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What OpenQuestion holds
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.