Nutrition with Gastrostomy Feeding Tubes for Amyotrophic Lateral Sclerosis in Canada
Bibliographic record
Abstract
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a rapidly progressing degenerative motor neuron disease that results in significant muscle weakness. Defects in energy metabolism and difficulties in swallowing eventually lead to a reduction in body mass. Weight loss exacerbates symptoms and serves as an independent negative prognostic factor. Percutaneous endoscopic gastrostomy (PEG) is often inserted in patients with ALS to either supplement or replace oral feeding. However, the criteria for PEG placement and timing of insertion are important clinical decisions that have not been fully studied. Given the absence of guiding evidence, the aim of this project was to better understand how Canadian ALS clinics make decisions regarding gastrostomy feeding. METHODS: ALS clinical directors across Canada were asked if they had written guidelines for timing of PEG insertion and if not, what criteria they use to make this decision. Responses from 10 of 17 centres contacted were received. RESULTS: The approach to supplemental nutrition management in Canadian clinics varies in the absence of formal guidelines. Only one centre has a written set of centre-specific protocols in place. Most clinics considered some combination of respiratory decline, weight loss, dysphagia and/or patient readiness when reaching a decision. However, the absolute threshold and mechanism of measuring the individual criteria differed between clinics. CONCLUSIONS: Practices generally reflect international published recommendations but vary on the emphasis of specific criteria. Further research is required to determine the optimal timing and criteria to place gastrostomy feeding tubes in the ALS population.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".