Dexamethasone for Morbidity After Subdural Electrode Insertion – A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Invasive monitoring with subdural electrodes (SDE) for investigation of medically intractable epilepsy may be associated with undesirable immediate postoperative morbidity such as headache, nausea, vomiting, fever, and meningism. We undertook to evaluate the potential beneficial role of perioperative dexamethasone in reducing these symptoms. METHODS: In a double-blind placebo controlled clinical trial 30 patients undergoing SDE insertion were randomized to receive either placebo or a course of dexamethasone beginning one hour prior to surgery and tapering to discontinue over 72 hours postoperatively. Pain, pain relief, nausea, nausea relief, temperature, and meningism were assessed regularly in the postoperative period, and analgesic, antipyretic, and antiemetic drug requirements were tabulated. RESULTS: One patient was withdrawn from the dexamethasone group due to lack of data. With regards to postoperative pain, the direction of benefit favoured dexamethasone but a significant treatment by time interaction prevented further analysis of treatment effect. The dexamethasone group did have significantly lower temperatures and higher nausea relief scores. There was no statistically significant difference between the groups with regards to pain relief, nausea, and meningism scores. The beneficial effects of dexamethasone were delayed in onset, of limited duration, and not uniform over the observation period. CONCLUSION: Dexamethasone appears to have a role in reducing immediate morbidity following SDE insertion but its effect is not uniform in the postoperative period; it appears to be delayed in onset, and of limited duration. Further study is necessary to determine the ideal dosing schedule.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".