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Cited by 295

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The natural history of aneurysms and arteriovenous malformations

Jane, John A., Kassell, Neal F., Torner, James C., Winn, H. Richard·1985·Journal of Neurosurgery

Abstract

✓ The authors summarize the findings of previous studies relating to the natural history of aneurysms and arteriovenous malformations (AVM's). Ruptured aneurysms have their highest rate of rebleeding on Day 1, and at least 50% will rebleed during the 6 months after the first hemorrhage. Thereafter, the rate drops to at least 3% a year. This is the same rate as seen in anterior and posterior communicating artery aneurysms treated by anterior cerebral artery clipping and carotid ligation; these operations provide immediate protection but do not result in long-term diminution of the risk of rebleeding. Patients with unruptured incidental and unruptured multiple aneurysms rebleed at a rate of 1% per year, as do patients with subarachnoid hemorrhage of unknown etiology. The risk of rebleeding for AVM's is 3% a year.

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Crossref · 10.3171/jns.1985.62.3.0321

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Metadata

Authors
Jane, J. A., Kassell, N. F., Torner, J. C., & Winn, H. R.
Venue
Journal of Neurosurgery
Published
1985-03
Volume
62
Issue
3
Pages
321-323
ISSN
0022-3085 (ISSN-L)
OpenAlex
W2042599927
Cited by
295
References
3
FWCI
7.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The natural history of aneurysms and arteriovenous malformations. https://app.cochat.ai/papers/10.3171/jns.1985.62.3.0321
The paper
Jane, J. A., Kassell, N. F., Torner, J. C., & Winn, H. R. (1985). The natural history of aneurysms and arteriovenous malformations. Journal of Neurosurgery. https://doi.org/10.3171/jns.1985.62.3.0321

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.