Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation.

By Gregory Y. H. Lip, R. Nieuwlaat, R. Pisters, D. Lane, H. Crijns. 2010

6,747 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Epidemiology, Internal Medicine

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Citations in the corpus

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model (2015, methodology): “The CHADS2 score considers only 5 factors, whereas the updated CHA2DS2-VASc score [Lip et al. (2010b)] includes three additional risk factors: vascular disease (V), age 65 to 74 years old (A) and female gender (Sc).”
Interval Coded Scoring: a toolbox for interpretable scoring systems (2018, background): “Examples of scoring systems include Alvarado for appendicitis (Alvarado, 1986), CHA 2 DS 2 -VASc for atrial ﬁbrillation (Lip et al., 2010), Glasgow for pancreatitis (Mounzer et al., 2012), CURB-65 for pneumonia (Jeong et al., 2013) and ASDAS for disease activity in ankylosing spondylitis (Lukas et…”
Strongly agree or strongly disagree?: Rating features in Support Vector Machines (2016, background): “…the CHADS2 score (Gage et al. 2001, Letham et al. 2012) is widely used in medicine to predict the risk of stroke in patients with atrial brillation based on ve di erent symptoms of the patient, whereas the extended CHA2DS2 VASc score (Lip et al. 2010) includes three additional risk factors.”
Methods and Models for Interpretable Linear Classification (2014, methodology): “” To illustrate the dangers of building predictive models with heuristic approaches, note that an attempted improvement to CHADS2, known as CHA2DS2-VASc [57], performs worse than CHADS2.”
Supersparse Linear Integer Models for Interpretable Classification (2013, methodology): “” In order to illustrate the dangers of constructing predictive models by hand, we note that an attempted improvement to CHADS2, known as CHA2DS2-VASc [43], performs worse than CHADS2.”
Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. (2014, background): “In the United States, this arrhythmia may be responsible for >70 000 ischemic strokes each year (ie, 10%–12% of all ischemic strokes).53,403 The risk of stroke among people with AF can be estimated by use of validated prediction instruments such as CHADS 2 404 or CHA 2 DS 2 –VASc.405 For CHADS 2 , p”
Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study (2011, methodology): “The 2006 ACC/AHA/ESC guideline listed these potential additional risk factors as being “less validated or weaker risk factors,” including female sex, age 65-74 years, coronary artery disease, and thyrotoxicosis.”