An evidence‐based causative classification system for acute ischemic stroke
Harvard University · Massachusetts General Hospital · +2 more institutions
Abstract
Regular, evidence-based assignment of patients to etiologic stroke categories is essential to enable valid comparison among studies. We designed an algorithm (SSS-TOAST) that incorporated recent advances in stroke imaging and epidemiology to identify the most probable TOAST category in the presence of evidence for multiple mechanisms. Based on the weight of evidence, each TOAST subtype was subdivided into 3 subcategories as "evident", "probable", or "possible". Classification into the subcategories was determined via predefined specific clinical and imaging criteria. These criteria included published risks of ischemic stroke from various mechanisms and published reports of the strength of associations between…
Citation impact
- FWCI
- 6.55
- Percentile
- 100%
- References
- 94
Authors
6- HAHakan AyCorresponding
Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
- KLKaren L. Furie
Harvard University, Massachusetts General Hospital
- ABAneesh B. Singhal
Harvard University, Massachusetts General Hospital
- WSWade S. Smith
University of California, San Francisco
- AGA. Gregory Sorensen
Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
Topics & keywords
- SSS*
- Stroke (engine)
- Medicine
- Epidemiology
- Kappa
- Reliability (semiconductor)
- Ischemic stroke
- Internal medicine
- Good health and well-being