The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Improved confidence of outcome prediction in severe head injury: A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure
Abstract
✓ An analysis of clinical signs, singly or in combination, multimodality evoked potentials (MEP's), computerized tomography scans, and intracranial pressure (ICP) data was undertaken prospectively in 133 severely head-injured patients to ascertain the accuracy, reliability, and relative value of these indicants individually, or in various combinations, in predicting one of two categories of outcome. Erroneous predictions, either falsely optimistic (FO) or falsely pessimistic (FP), were analyzed to gain pathophysiological insights into the disease process. Falsely optimistic predictions occurred because of unpredictable complications, whereas FP predictions were due to intrinsic weakness of the indicants as prognosticators. A combination of clinical data, including age, Glasgow Coma Scale (GCS) score, pupillary response, presence of surgical mass lesions, extraocular motility, and motor posturing predicted outcome with 82% accuracy, 43% with over 90% confidence. Nine percent of predictions were FO and 9% FP. The GCS score alone was accurate in 80% of predictions, but at a lower level of confidence (25% at the over-90% level), with 7% FO and 13% FP. Computerized tomography and ICP data in isolation proved to be poor prognostic indicants. When combined individually with clinical data, however, they increased the number of predictions made with over 90% confidence to 52% and 55%, respectively. Data from MEP's represented the most accurate single prognostic indicant, with 91% correct predictions, 25% at the over-90% confidence level. There were no FP errors associated with this indicant. Supplementation of the clinical examination with MEP data yielded optimal prognostic power, an 89% accuracy rate, with 64% over the 90% confidence level and only 4% FP errors. The clinical examination remains the strongest basis for prognosticating outcome in severe head injury, but additional studies enhance the reliability of such predictions.
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Cites
ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS
Teasdale, G., & Jennett, B. (1974) · The Lancet · doi:10.1016/s0140-6736(74)91639-0 · Cited by 13,215
Cited by
A Trial of Intracranial-Pressure Monitoring in Traumatic Brain Injury
Chesnut, R. M., Temkin, N., Carney, N., Dikmen, S., Rondina, C., Videtta, W., Petroni, G., Lujan, S., Pridgeon, J., Barber, J., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1207363 · Cited by 1,352
Classification of traumatic brain injury for targeted therapies
Saatman, K. E., Duhaime, A.-C., Bullock, R., Maas, A. I. R., Valadka, A., & Manley, G. T. (2008) · Journal of Neurotrauma · doi:10.1089/neu.2008.0586 · Cited by 1,141
“Older multivariable classifiers have included other logistic regression models (Narayan et al., 1981) and a classification tree model (Choi et al., 1988, 1991).”
Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients
Hukkelhoven, C. W. P. M., Steyerberg, E. W., Rampen, A. J. J., Farace, E., Habbema, J. D. F., Marshall, L. F., Murray, G. D., & Maas, A. I. R. (2003) · Journal of Neurosurgery · doi:10.3171/jns.2003.99.4.0666 · Cited by 641
Multivariable Prognostic Analysis in Traumatic Brain Injury: Results from The IMPACT Study
Murray, G. D., Butcher, I., McHugh, G. S., Lu, J., Mushkudiani, N. A., Maas, A. I. R., Marmarou, A., & Steyerberg, E. W. (2007) · Journal of Neurotrauma · doi:10.1089/neu.2006.0035 · Cited by 631
Narayan, R. K., Kishore, P. R. S., Becker, D. P., Ward, J. D., Enas, G. G., Greenberg, R. P., Da Silva, A. D., Lipper, M. H., Choi, S. C., Mayhall, C. G., et al. (1982) · Journal of Neurosurgery · doi:10.3171/jns.1982.56.5.0650 · Cited by 591
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Metadata
- Authors
- Narayan, R. K., Greenberg, R. P., Miller, J. D., Enas, G. G., Choi, S. C., Kishore, P. R. S., Selhorst, J. B., Lutz, H. A., & Becker, D. P.
- Venue
- Journal of Neurosurgery
- Published
- 1981-06
- Volume
- 54
- Issue
- 6
- Pages
- 751-762
- ISSN
- 0022-3085 (ISSN-L)
- OpenAlex
- W1575460937
- Cited by
- 541
- References
- 1
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Improved confidence of outcome prediction in severe head injury: A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure. https://app.cochat.ai/papers/10.3171/jns.1981.54.6.0751
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- Narayan, R. K., Greenberg, R. P., Miller, J. D., Enas, G. G., Choi, S. C., Kishore, P. R. S., Selhorst, J. B., Lutz, H. A., & Becker, D. P. (1981). Improved confidence of outcome prediction in severe head injury: A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure. Journal of Neurosurgery. https://doi.org/10.3171/jns.1981.54.6.0751
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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.