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Cited by 503

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cerebral angiographic risk in mild cerebrovascular disease.

Hankey, G J, Warlow, C P, Sellar, R J·1990·Stroke

Abstract

We review the eight prospective and seven retrospective studies from which it is possible to derive the complication rate of conventional cerebral angiography for patients with mild ischemic cerebrovascular disease who are potential candidates for carotid endarterectomy. Three studies of intravenous and one of intra-arterial digital subtraction angiography are also examined. An overview of the results suggests that the risk of a neurological complication (TIA or stroke) is about 4% and that a permanent neurological deficit (disabling stroke) occurs in about 1%. The mortality rate is very low (less than 0.1%). Systemic complications are not infrequent, particularly with intravenous digital subtraction angiography. The complication rate of cerebral angiography must be considered when evaluating the risks of carotid endarterectomy in patients with ischemic cerebrovascular disease.

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Crossref · 10.1161/01.str.21.2.209

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Metadata

Authors
Hankey, G. J., Warlow, C. P., & Sellar, R. J.
Venue
Stroke
Published
1990-02
Volume
21
Issue
2
Pages
209-222
ISSN
  • 0039-2499 (ISSN-L)
  • 1524-4628
OpenAlex
W1966994218
Cited by
503
References
4
FWCI
21.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cerebral angiographic risk in mild cerebrovascular disease. https://app.cochat.ai/papers/10.1161/01.str.21.2.209
The paper
Hankey, G. J., Warlow, C. P., & Sellar, R. J. (1990). Cerebral angiographic risk in mild cerebrovascular disease. Stroke. https://doi.org/10.1161/01.str.21.2.209

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.