Prophylactic anticonvulsants for gliomas: a seven-year retrospective analysis
Bibliographic record
Abstract
Abstract Background The American Academy of Neurology (AAN) does not recommend routine use of prophylactic antiepileptic drugs (pAEDs) in patients with newly diagnosed brain tumors. If used in the perioperative setting, discontinuation is suggested after the first postoperative week. It is unclear whether such recommendations are followed. Our objective was to compare our perioperative and long-term pAED use in glioma patients with AAN practice parameters. Methods Retrospective chart review was performed on 578 glioma patients from 2006 to 2013. Seizures and AED use were assessed at surgery, 3 months postoperatively and death, last visit or 16 months postoperatively. Patients were divided into three groups at surgery: seizure-free with pAED, seizure-free without pAED, and seizure patients. Long-term pAED use was defined as continued use at 3 months postsurgery without seizures. pAEDs efficacy, factors influencing its use, and survival were examined. Results Out of 578 patients identified, 330 (57.1%) were seizure-naïve preoperatively. There were no significant differences in age, histology, tumor location or resection status between seizure-free populations with and without prophylaxis. Of 330 seizure-naïve patients, 205 (62.1%) received pAEDs at surgery. Ninety-six (46.9%) of those patients were still on pAEDs 3 months postsurgery (median use = 58 days). Rate of long-term prophylaxis use decreased by 13.5% over 6 years (70.3% in 2006; 56.8% in 2012). Phenytoin was preferred in 2006 (98.2%) with increasing use of levetiracetam over 6 years (44.6% in 2012). The only predictive factor for pAED use was complete resection (P = .0069). First seizure prevalence was similar in both seizure-free populations (P = .91). The seizure population had more men (P = .007), younger patients (P < .0001), lower-grade gliomas (P = .0003) and survived longer (P = .001) compared with seizure-free populations. Conclusions In our center, long-term prophylactic AED use is high, deviating from current AAN Guidelines. Corrective measures are warranted.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".