Urgent computed tomography brain scan for elderly patients
Bibliographic record
Abstract
We conducted a retrospective study of 291 patients aged 75 years or older who were admitted to the emergency department and who underwent a computed tomography (CT) brain scan. Our aims were to assess the reasons for requesting an urgent CT brain scan, to record the diagnostic yield of cerebral imaging, and to seek out predictive factors of an intracranial pathology. The three main reasons for requesting an urgent CT brain scan were the presence of localizing signs (60%), delirium (21%), and disorders of consciousness with a Glasgow Coma Score of less than 14 (14.5%). In our elderly population, we found no typical patient profile when concerned with the risk of having an intracranial pathology. The multivariate logistic regression found that predictive factors for intracranial bleeding were localizing signs, disorders of consciousness with a Glasgow Coma Score of less than 14, head trauma, sudden-onset headache, or headache associated with at least two episodes of vomiting.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".