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Cited by 320

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Effect of high-dose corticosteroid therapy on blood flow, evoked potentials, and extracellular calcium in experimental spinal injury

Young, Wise, Flamm, Eugene S.·1982·Journal of Neurosurgery

Abstract

✓ High-dose methylprednisolone (15 to 30 mg/kg), administered 45 minutes after severe contusion injury (400 gm-cm) to cat spinal cords, rapidly reverses the typical posttraumatic ischemia that occurs in spinal injuries. White matter blood flow improves despite the systemic hypotension associated with bolus intravenous injections of such massive corticosteroid doses. In addition, this treatment facilitates extracellular calcium ionic recovery in contused spinal cords, and salvages evoked potential activity that is lost in untreated cats. These data suggest that high-dose corticosteroid treatment causes local vasodilation of spinal cord blood vessels. The consequent blood flow increase may account for the beneficial effects of high-dose corticosteroid treatment on both functional recovery and histopathological appearance of injured spinal cords.

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Metadata

Authors
Young, W., & Flamm, E. S.
Venue
Journal of Neurosurgery
Published
1982-11
Volume
57
Issue
5
Pages
667-673
ISSN
0022-3085 (ISSN-L)
OpenAlex
W2021789707
Cited by
320
References
0
FWCI
10.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Effect of high-dose corticosteroid therapy on blood flow, evoked potentials, and extracellular calcium in experimental spinal injury. https://app.cochat.ai/papers/10.3171/jns.1982.57.5.0667
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Young, W., & Flamm, E. S. (1982). Effect of high-dose corticosteroid therapy on blood flow, evoked potentials, and extracellular calcium in experimental spinal injury. Journal of Neurosurgery. https://doi.org/10.3171/jns.1982.57.5.0667

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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.