The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An evidence‐based causative classification system for acute ischemic stroke
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 clinical and imaging features and particular stroke mechanisms. Two neurologists independently assessed 50 consecutively admitted patients with acute ischemic stroke through reviews of abstracted data from medical records. The number of patients classified as “undetermined‐unclassified” per the original TOAST system decreased from 38–40% to 4% using the SSS‐TOAST system. The kappa value for interexaminer reliability was 0.78 and 0.90 for the original TOAST and SSS‐TOAST respectively. The SSS‐TOAST system successfully classifies patients with acute ischemic stroke into determined etiologic categories without sacrificing reliabilty. The SSS‐TOAST is a dynamic algorithm that can accommodate modifications as new epidemiological data accumulate and diagnostic techniques advance. Ann Neurol 2005;58:688–697
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Cites
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Risk of thromboembolic events in patients with atrial flutter
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Cited by
Ay, H., Benner, T., Murat Arsava, E., Furie, K. L., Singhal, A. B., Jensen, M. B., Ayata, C., Towfighi, A., Smith, E. E., Chong, J. Y., et al. (2007) · Stroke · doi:10.1161/strokeaha.107.490896 · Cited by 455
Self-citationIschaemic stroke in young adults: risk factors and long-term consequences
Maaijwee, N. A. M. M., Rutten-Jacobs, L. C. A., Schaapsmeerders, P., van Dijk, E. J., & de Leeuw, F.-E. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.72 · Cited by 377
Premature menopause or early menopause and risk of ischemic stroke
Rocca, W. A., Grossardt, B. R., Miller, V. M., Shuster, L. T., & Brown, R. D. (2012) · Menopause · doi:10.1097/gme.0b013e31822a9937 · Cited by 188
“Ischemic versus hemorrhagic stroke Stroke is generally classified as ischemic, including embolic and thrombotic mechanisms, or hemorrhagic, including subarachnoid or intracerebral locations.(28,29) Because the pathogenetic mechanisms of ischemic and hemorrhagic stroke are different, we might expect different effects o…”
BackgroundNew ischemic lesions coexisting with acute intracerebral hemorrhage
Kang, D.-W., Han, M.-K., Kim, H.-J., Yun, S.-C., Jeon, S.-B., Bae, H.-J., Kwon, S. U., & Kim, J. S. (2012) · Neurology · doi:10.1212/wnl.0b013e3182648a79 · Cited by 109
Lemmens, R., Buysschaert, I., Geelen, V., Fernandez-Cadenas, I., Montaner, J., Schmidt, H., Schmidt, R., Attia, J., Maguire, J., Levi, C., et al. (2010) · Stroke · doi:10.1161/strokeaha.110.587980 · Cited by 77
Metadata
- Authors
- Ay, H., Furie, K. L., Singhal, A., Smith, W. S., Sorensen, A. G., & Koroshetz, W. J.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2005-10-20
- Volume
- 58
- Issue
- 5
- Pages
- 688-697
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2075389937
- Cited by
- 675
- References
- 5
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- closed
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