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The ASCOD Phenotyping of Ischemic Stroke (Updated ASCO Phenotyping)

Amarenco, P., Bogousslavsky, J., Caplan, L.R., Donnan, G.A., Wolf, M.E., Hennerici, M.G.·2013·Cerebrovascular Diseases

Abstract

ASCO phenotyping (A: atherosclerosis; S: small-vessel disease; C: cardiac pathology; O: other causes) assigns a degree of likelihood of causal relationship to every potential disease (1 for potentially causal, 2 for causality is uncertain, 3 for unlikely causal but the disease is present, 0 for absence of disease, and 9 for insufficient workup to rule out the disease) commonly encountered in ischemic stroke describing all underlying diseases in every patient. In this new evolution of ASCO called ASCOD, we have added a ‘D' for dissection, recognizing that dissection is a very frequent disease in young stroke patients. We have also simplified the system by leaving out the ‘levels of diagnostic evidence', which has been integrated into grades 9 and 0. Moreover, we have also changed the cutoff for significant carotid or intracranial stenosis from 70% to more commonly used 50% luminal stenosis, and added a cardiogenic stroke pattern using neuroimaging. ASCOD captures and weights the overlap between all underlying diseases present in ischemic stroke patients.

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Metadata

Authors
Amarenco, P., Bogousslavsky, J., Caplan, L. R., Donnan, G. A., Wolf, M. E., & Hennerici, M. G.
Venue
Cerebrovascular Diseases
Publisher
S. Karger AG
Published
2013
Volume
36
Issue
1
Pages
1-5
ISSN
  • 1015-9770 (ISSN-L)
  • 1421-9786
OpenAlex
W2018866069
Cited by
397
References
0
FWCI
9.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The ASCOD Phenotyping of Ischemic Stroke (Updated ASCO Phenotyping). https://app.cochat.ai/papers/10.1159/000352050
The paper
Amarenco, P., Bogousslavsky, J., Caplan, L. R., Donnan, G. A., Wolf, M. E., & Hennerici, M. G. (2013). The ASCOD Phenotyping of Ischemic Stroke (Updated ASCO Phenotyping). Cerebrovascular Diseases. https://doi.org/10.1159/000352050

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.