ArticleCurrent medical research and opinion2015
Developing an Atrial Fibrillation Guideline Support Tool (AFGuST) for shared decision making.
Article in Current medical research and opinion, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Assessment of Shared Decision-making for Stroke Prevention in Patients With Atrial Fibrillation: A Randomized Clinical Trial.JAMA internal medicine · 2020Trial
- Racial/Ethnic Disparities in Anticoagulation for Atrial Fibrillation by Sex and Within High and Low Stroke Risk Populations.The Journal of innovations in cardiac rhythm management · 2025Article
- LOLATAO-An Artificial-Intelligence-Based Virtual Assistant for Clinical Follow-Up of Patients with Non-Valvular Atrial Fibrillation (AF) Undergoing Oral Anticoagulant Therapy (OAT): A Feasibility Study.Journal of clinical medicine · 2025Article
- Knowledge, attitudes and demand toward cardiovascular polygenic risk testing in clinical practice: cross-sectional survey of patients.European journal of human genetics : EJHG · 2025Article
- Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review.BMC medical informatics and decision making · 2025Article
- Estimating Vitamin K Antagonist Anticoagulation Benefit in People With Atrial Fibrillation Accounting for Competing Risks: Evidence From 12 Randomized Trials.Circulation. Cardiovascular quality and outcomes · 2024Article
- Development of a patient decision aid for discharge planning of hospitalized patients with stroke.BMC neurology · 2022Article
- Long-term functional outcomes and mortality after hospitalization for extracranial hemorrhage.Journal of hospital medicine · 2022Article
- Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management.Circulation. Arrhythmia and electrophysiology · 2021Review
- Article
- The clinical practice guideline palliative care for children and other strategies to enhance shared decision-making in pediatric palliative care; pediatricians' critical reflections.BMC pediatrics · 2019Article
- Net Clinical Benefit of Oral Anticoagulation Among Older Adults With Atrial Fibrillation.Circulation. Cardiovascular quality and outcomes · 2019Article
- Developing a Conversation Aid to Support Shared Decision Making: Reflections on Designing Anticoagulation Choice.Mayo Clinic proceedings · 2019Review
- Shared Decision-Making as the Future of Emergency Cardiology.The Canadian journal of cardiology · 2018Review
- Oral Anticoagulation in Atrial Fibrillation: Development and Evaluation of a Mobile Health Application to Support Shared Decision-Making.Arquivos brasileiros de cardiologia · 2018Article
- Atrial fibrillation decision support tool: Population perspective.American heart journal · 2017Article
- Shared decision-making in stroke: an evolving approach to improved patient care.Stroke and vascular neurology · 2017Review
- Processes and Recommendations for Creating mHealth Apps for Low-Income Populations.JMIR mHealth and uHealth · 2017Article
- Decision-making about the use of non-vitamin K oral anticoagulant therapies for patients with atrial fibrillation.Journal of thrombosis and thrombolysis · 2016Review
- Automated Tool for Health Utility Assessments: The Gambler II.MDM policy & practiceArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectivePatient values and preferences are an important component to decision making when tradeoffs exist that impact quality of life, such as tradeoffs between stroke prevention and hemorrhage in patients with atrial fibrillation (AF) contemplating anticoagulant therapy. Our objective is to describe the development of an Atrial Fibrillation Guideline Support Tool (AFGuST) to assist the process of integrating patients' preferences into this decision. MATERIALS AND
methodsCHA2DS2VASc and HAS-BLED were used to calculate risks for stroke and hemorrhage. We developed a Markov decision analytic model as a computational engine to integrate patient-specific risk for stroke and hemorrhage and individual patient values for relevant outcomes in decisions about anticoagulant therapy.
resultsIndividual patient preferences for health-related outcomes may have greater or lesser impact on the choice of optimal antithrombotic therapy, depending upon the balance of patient-specific risks for ischemic stroke and major bleeding. These factors have been incorporated into patient-tailored booklets which, along with an informational video, were developed through an iterative process with clinicians and patient focus groups. KEY LIMITATIONS: Current risk prediction models for hemorrhage, such as the HAS-BLED, used in the AFGuST, do not incorporate all potentially significant risk factors. Novel oral anticoagulant agents recently approved for use in the United States, Canada, and Europe have not been included in the AFGuST. Rather, warfarin has been used as a conservative proxy for all oral anticoagulant therapy.
conclusionsWe present a proof of concept that a patient-tailored decision-support tool could bridge the gap between guidelines and practice by incorporating individual patient's stroke and bleeding risks and their values for major bleeding events and stroke to facilitate a shared decision making process. If effective, the AFGuST could be used as an adjunct to published guidelines to enhance patient-centered conversations about the anticoagulation management.
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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.