Neurosurgical Management of Head Injury
Bibliographic record
Abstract
No AccessPerspectives on Neurophysiology and Neurogenic Speech and Language DisordersArticle1 Jun 2000Neurosurgical Management of Head Injury Ahmad Khaldi, Woodford Beach, Tobias Clausen, and Ross Bullock Ahmad Khaldi Division of Neurosurgery and Department of Speech Pathology, Medical College of Virginia, Virginia Commonwealth UniversityRichmond, VA Google Scholar More articles by this author , Woodford Beach Division of Neurosurgery and Department of Speech Pathology, Medical College of Virginia, Virginia Commonwealth UniversityRichmond, VA Google Scholar More articles by this author , Tobias Clausen Division of Neurosurgery and Department of Speech Pathology, Medical College of Virginia, Virginia Commonwealth UniversityRichmond, VA Google Scholar More articles by this author and Ross Bullock Division of Neurosurgery and Department of Speech Pathology, Medical College of Virginia, Virginia Commonwealth UniversityRichmond, VA Google Scholar More articles by this author https://doi.org/10.1044/nnsld10.2.16 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References Baker, A. (1999). Management of the severely head injured patient.Canadian Journal of Anesthesiology, 46(5), R35–R40. Google Scholar Beaumont, A., & Marmarou, A. (1999). Treatment of raised intracranial pressure following traumatic brain injury.Critical Review of Neurosurgery, 9, 207–216. Google Scholar Bouma, G., Muizelaar, J., & Stringer, W. (1992). Ultra early evaluation of regional cerebral blood flow in severely head injured patients using stable xenon-enhanced computerized tomography.Journal of Neurosurgery, 77, 360–368. Google Scholar Bullock, R. (1993). Opportunities of neuroprotective drugs in clinical management of head injury.Journal of Emergency Medicine, 11, 23–30. Google Scholar Chestnut, R. (1997). Guidlines for the management of severe head injury: What we know and what we think we know.The Journal of Trauma: Injury, Infection and Critical Care, 42(5), S19–S22. Google Scholar Di, X., Harpold, T., Watcon, J., & Bullock, R. (1996). Excitotoxic damage in neurotrauma: Fact or fiction.Retroactive Neurology and Neuroscience, 9, 231–241. Google Scholar Graham, D. I., & Adams, J. H. (1971). Ischaemic brain damage in fatal head injuries.Lancet, 2(7693), 265–266. Google Scholar Grubb, R., Raichle, M., Eichling, J., & Ter-Pogossian, M. (1974). The effects of changes in PaCo2 on cerebral blood volume, blood flow, and vascular mean transit time.Stroke, 5, 630–639. Google Scholar Gupta, A., & Bullock, R. (1998). Monitoring the injured brain in intensive care: Present and future.Hospital Medicine, 59, 704–713. Google Scholar Hovda, D., Lee, S., Smith, M., Von Stuck, S., Bergsneider, M., Kelly, D., Shalmon, E., Martin, N., Caron, M., Mazziotta, J., Phelps, M., & Becker, D. (1995). The neurochemical and metabolic cascade following brain injury: Moving from animal models to man.Journal of Neurotrauma, 12, 903–906. Google Scholar Kassel, N., Peerless, S., & Durward, Q. (1982). Treatment of ischemic deficits from vasospasm with intravascular volume expansion and induced arterial hypertension.Neurosurgery, 11, 337–343. Google Scholar Mayberg, M. R., Batjer, H. H., Dacey, R., Diringer, M., Haley, E. C., Heros, R. C., Sternau, L. L., Tomer, J., Adams, H. P. J., & Feinberg, W. (1994). Guidelines for the management of aneurysmal subarachnoid hemorrhage. A statement for healthcare professionals from a special writing group of the Stroke Council, American Heart Association.Stroke, 25, 2315–2328. Google Scholar Meyer, F. B., Morita, A., Puumala, M. R., & Nichols, D. A. (1995). Medical and surgical management of intercranial aneurysms.Mayo Clinic Proceedings, 70, 153–172. Google Scholar Schneider, G., Sarrafzadeh, A., Kiening, K., Bardt, T., Unterberg, A., & Lanksch, W. (1998). Influence of hyperventilation on brain tissue— P02, PC02 and pH in patients with intracranial hypertension.Acta Neurochirurgica, 71, 62–65. Google Scholar Zauner, A., & Bullock, R. (1995). The role of excitatory amino acids in severe brain trauma: opportunity for therapy; A review.Journal of Neurotrauma, 12, 547–554. Google Scholar Zauner, A., Bullock, R., Di, X., & Young, H. F. (1995). Brain Oxygen, C02, pH and temperature monitoring: Evaluation in the feline brain.Neurosurgery, 37, 1168–1176. Google Scholar Zauner, A., Doppenberg, E. M., Woodward, J. J., Chio, S. C., Young, H. F., & Bullock, R. (1997). Continuous multiparameter monitoring of substrate delivery and brain metabolism: Initial experience in 24 patients with severe acute brain injury.Neurosurgery, 41, 1082–1091. Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 10Issue 2June 2000Pages: 16-20 Get Permissions Add to your Mendeley library History Published in issue: Jun 1, 2000 Metrics Topicsasha-topicsasha-sigsasha-article-typesCopyright & Permissions© 2000 American Speech-Language-Hearing AssociationPDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".