Evading Seizures: Phenobarbital Reintroduced as a Multifunctional Approach to End-of-Life Care
Bibliographic record
Abstract
The selected case study aimed to evaluate the role of phenobarbital as a drug of choice in end-of-life (EOL) settings. Phenobarbital is efficacious in management of EOL seizures and agitation, can be easily administered via different modes, and utilized in various palliative care (PC) settings. Mrs. X., 90-year-old female with a history of glioblastoma multiforme, was a resident of long-term care, residing in a PC unit. She presented with illness progression which resulted in an increased frequency of generalized tonic-clonic seizures which were managed initially with phenytoin. Due to the advanced stage of the illness and significant decline in the patient's cognitive and physical status, oral route and intravenous access were lost, and phenytoin became not an option for seizure control. She was then rotated to subcutaneous phenobarbital, as a result, starting at 30 mg once a day. The dose needed to be titrated up in 15 mg increments to achieve adequate seizure control, and she stabilized on 60 mg of subcutaneous phenobarbital after 2 days. No serious adverse skin reactions were noted with the use of phenobarbital, and it did not abruptly end a patient's life when used at appropriate doses. The sedative properties of phenobarbital had benefited Mrs. X and allowed her to be comfortable approaching EOL with glioblastoma multiforme.
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 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) | 0.000 | 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) | 0.001 | 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 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".