Use of Radiotherapy for Control of Sialorrhea in Patients with Amyotrophic Lateral Sclerosis
Bibliographic record
Abstract
Many patients with amyotrophic lateral sclerosis (ALS) develop progressive difficulty with swallowing secretions, and drooling becomes a significant problem. The production of saliva can be reduced with radiation of the submandibular and sublingual salivary gland tissue. This method has been used successfully in Europe and had limited use at Vancouver Hospital. This study was undertaken to determine the lowest effective dose of radiation necessary to control salivary production. Over a 3-year period, patients with ALS who developed significant problems with drooling were identified and treated with a predetermined dose of radiation. The first group received a single dose of 8 Gy in one fraction and the second received a total of 12.5 Gy in two fractions. They were followed over the next 6 months and were evaluated for effectiveness and side effects. Their saliva was measured pre- and postradiation treatment, and they were also asked to evaluate the change subjectively, using a questionnaire. The preliminary findings suggest that 8 Gy of radiation was effective in controlling drooling, and increasing the dose did not improve initial control. Long-term control was difficult to evaluate as the patients entered in the study were very ill and their life expectancy was very short. Radiation at this low dose resulted in very few side effects. Low-dose radiation can safely help control secretions in selected patients with ALS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".