Botulinum Toxin Use in Refractory Pain and Other Symptoms in Parkinsonism
Bibliographic record
Abstract
BACKGROUND: Parkinson's disease (PD) and other parkinsonian syndromes are chronic, progressive neurodegenerative diseases. With advancing disease, both motor and non-motor symptoms represent a considerable burden and symptom relief and quality of life improvement become the main goal of treatment. Botulinum toxins (BTX) are an effective treatment modality for many neurological conditions. METHODS: To understand the potential usefulness of BTX in this population, we performed a retrospective chart review of all patients with a clinical diagnosis of idiopathic PD and atypical parkinsonism who received treatment with BTX injections in our center from 1995 to 2014 for a variety of symptoms. Response to BTX was assessed using a subjective Clinical Global Impression. RESULTS: Records of 160 patients were reviewed. Probable idiopathic PD was the diagnosis in 117 patients (73.1%). The main indication for BTX treatment was pain (50.6% of cases). Other indications were the treatment of functional impairment resulting from dystonia (26.25%), sialorrhea (18.75%), freezing of gait, and camptocormia. Considering pain as indication, 81% of all patients with PD reported benefits after the first BTX injections. This benefit was maintained after the last recorded visit without significant difference in outcome compared with the first injection (p=0.067). Similar results were observed in patients with atypical parkinsonism. CONCLUSIONS: Our results confirm the safety and efficacy of different uses of BTX in the symptomatic treatment of patients with parkinsonism even in advanced stages of the disease, and suggest BTX treatment could have a safe and useful role in the treatment of pain in this population.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".