Botulinum Toxin Injection and Phenol Nerve Block for Reduction of End-of-Life Pain
Bibliographic record
Abstract
BACKGROUND: Injectable antispasticity agents have been utilized for the reduction of pain. However, there are no reports of its use for end-of-life pain. PATIENT CASE: A 62-year-old female with a history of progressive left frontotemporal glioblastoma status post gross total resection, radiation, and chemotherapy presented to the physical medicine and rehabilitation (PM&R) clinic for management of spastic quadriplegia and pain. At the time of presentation to the PM&R clinic she was no longer eligible for further cancer treatment. The patient had been declining neurologically with cognitive changes, weakness, and increasing spasticity. The patient had an Edmonton Symptom Assessment Scale (ESAS) pain score of 8/10 at her visit, as reported by her husband. She exhibited mild to moderate spasticity during the exam. Cognitively, she was unable to follow commands and would fluctuate between being awake for a few minutes and sleeping during the exam. She was not on any oral muscle relaxants and none were started due to her state of hypoarousal. Nine days after the initial consultation she received 700 units of onabotulinum toxin into her bilateral upper limbs and left thigh and a phenol nerve block to her left tibial nerve. At a follow-up visit 28 days later in the palliative care clinic, the ESAS pain score was 0. The patient died 51 days post-injection. CONCLUSION: The case report demonstrates the use of injectable antispasticity agents in the reduction of end-of-life pain in a glioblastoma patient.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".