ArticleEuropean heart journal. Digital health2022
Universal Clinician Device for improving risk prediction and management of patients with atrial fibrillation: an assumed benefit analysis.
Article in European heart journal. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01090362 (Prospective, Multi Centre, International Registry of Male and Female Patients Newly Diagnosed With Atrial Fibrillation.), which is not on this map. Not yet cited in PubMed.
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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.
Prospective, Multi Centre, International Registry of Male and Female Patients Newly Diagnosed With Atrial Fibrillation.
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Authors and funding
5 authors.
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Abstract
Aim: Atrial fibrillation (AF) management guidelines advise using risk tools to optimize AF treatment. This study aims to develop a dynamic and clinically applicable digital device to assess stroke and bleeding risk, and to facilitate outcome improvements in AF patients. The device will provide tailored treatment recommendations according to easily attainable individual patient data. Methods and Results: This Universal Clinician Device (UCD) was created using the GARFIELD-AF registry using a split sample approach. The GARFIELD-AF risk tool was adapted with two modifications. First, predictors with ≥1000 missing data points were separated, allowing expected risks estimation. Second, recommendations for modifiable risk factors and associated 2-year outcome estimates were incorporated. Outcomes of interest were all-cause mortality, non-haemorrhagic stroke/systemic embolism (SE), and major bleeding. All patients were randomized to a derivation ( Conclusion: The UCD simultaneously predicts mortality, stroke, and bleeding risk in patients using easily attainable individual clinical data and guideline-based optimized treatment plans. Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier for GARFIELD-AF: NCT01090362.
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