Bibliographic record
Abstract
INTRODUCTION: Severe traumatic brain injury is a major public health problem that accounts for one-third of all deaths due to trauma in the United States. This case report illustrates some of the challenges faced by the elderly in accessing essential emergency services for traumatic brain injury. CASE PRESENTATION: A 74-year-old Caucasian man presented with head trauma at his local acute care hospital (level III/IV) in Canada at 2:30 PM. He was triaged at 4:00 PM and was seen by the emergency room physician at 4:50 PM. His vital signs were normal, and his Glasgow Coma Scale score was 15/15 upon admission. A computed tomography-based diagnosis of acute subdural hematoma was subsequently made by a radiologist at 5:00 PM. A neurosurgical transfer was requested to the nearby tertiary trauma center (level I/II), but was initially refused by the neurosurgical resident on call. The patient's condition slowly deteriorated until he became unconscious at 7:45 PM. The patient was intubated and transferred to the neurosurgical unit at 8:34 PM. He was seen by a consultant neurosurgeon at 9:30 PM, but surgery (craniotomy) was deemed not viable, given the patient's age and the fact that his pupils were now fixed and dilated (Glasgow Coma Scale score 3/15). The patient was taken off life support at 1:00 AM the following morning and died shortly thereafter. The patient's family made a formal complaint, but the decision by an independent medical review panel was that "the patient's care was prudent, timely and professional." CONCLUSIONS: Geriatric patients with severe head injury are less likely than their younger counterparts to be transferred to neurosurgical trauma centers. Protocol-driven care of the elderly can reduce mortality due to head trauma through the application of the Brain Trauma Foundation guidelines.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".