Analysis of the Adherence to Seizure Prophylaxis Guidelines inNeurosurgery Patients
Bibliographic record
Abstract
Background: In 2000, the American Academy of Neurology guidelines recommended that long-term seizure prophylaxis should not be routine in patients with newly diagnosed brain tumours and that if anti-epileptic drugs (AEDs) are used, they should be tapered and discontinued after 7 days post-operatively. Recent data shows that most newly diagnosed brain tumour patients continue to receive prophylactic AED. Aim: This study aimed to examine the seizure prophylaxis practices at Trillium Health Partners – Mississauga Hospital, a regional neurosurgery centrelocated in Mississauga, Ontario, Canada. Materials and Methods: A retrospective chart review was performed in adult patients with a newly diagnosed brain tumour who underwent neurosurgery between January 2010 and December 2014. Results: 690 patient charts were screened and 235 patients were excluded, most commonly due to seizure on admission. Overall, 28% (N=129) of 455 included patients over 5 years received seizure prophylaxis. Phenytoin was the most common prophylactic agent used. The average post-operative length of stay was 7.98 days and the average duration of therapy was 8.73 days. In 61% of patients who received prophylaxis, it was unknown whether the AED was continued in the long-term. The drug cost savings to Trillium over 5 years if patients had not received seizure prophylaxis was $4287.52. The patient characteristics most strongly correlated with receiving seizure prophylaxis were increasing tumour size and decreasing number of tumours. Conclusion: 1 in 3 patients at Trillium received seizure prophylaxis. Increased awareness of the organization's practice patterns may help prevent unnecessary long-term AED use.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".