ReviewCardiology and therapy2025
Atrial Fibrillation in Patients with Breast Cancer: A Literature Review.
Review in Cardiology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
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Authors and funding
12 authors.
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Abstract
In addition to traditional risk factors, patients with breast cancer are at an increased risk of atrial fibrillation due to cancer itself and certain cancer therapies. Atrial fibrillation in these patients adds to their morbidity and mortality. The precise mechanisms leading to the increased atrial fibrillation in patients with breast cancer are not well understood. The main goal of atrial fibrillation management in this population is to facilitate uninterrupted cancer treatment while addressing the arrhythmia and other cardiovascular sequelae of cancer treatment. Rhythm control is often challenging to implement in patients with breast cancer during active antineoplastic therapy because of the need for uninterrupted anticoagulation, potential drug-drug interactions between cancer treatments and antiarrhythmic medications, and the increased likelihood of atrial fibrillation recurrence. Prevention of thromboembolism and anticoagulation can also be challenging in patients with breast cancer as a result of the increased risk of cancer-related procoagulant state and coagulopathies. The integration of a cardio-oncology team and a multidisciplinary approach are crucial for better outcomes. The therapeutic interventions should be tailored toward individual patients' profiles through a shared decision-making approach. The precise mechanisms leading to the increased atrial fibrillation in patients with breast cancer are not well understood, highlighting the gaps in our knowledge. More research is required to reduce these gaps, refine risk stratification, and optimize treatment strategies in these patients.
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