Nutritional advice and treatment by dietitians to patients with amyotrophic lateral sclerosis/motor neurone disease: a survey of current practice in England, Wales, Northern Ireland and Canada
Bibliographic record
Abstract
BACKGROUND: The management of amyotrophic lateral sclerosis/motor neurone disease (ALS/MND) has shifted from an attitude of nihilism to treatments that prolong survival and offer hope. Nutrition is an integral component of ALS/MND care requiring coordination among acute and community multi-disciplinary teams (MDT). Evidence-based nutrition guidelines exist for this patient group but their use among dietitians is unknown. The aim of this study was to survey the knowledge, practice and guideline use of dietitians working in ALS/MND centres/clinics across England, Wales, Northern Ireland (EWNI) and Canada. METHOD: Dietetic contact details were obtained from the Motor Neurone Disease Association (MNDA) and the ALS Society of Canada (ALSSC) websites. Telephone interviews were conducted with 23 dietitians using a standardized questionnaire. RESULTS: Multi-disciplinary team membership was high (78%). Only 22% dietitians had >4-years experience in ALS/MND care. Dietitians reported using body weight, percentage weight loss (PWL) and body mass index (BMI) to assess nutritional status. Equations used to estimate energy and protein requirements differed. Most frequent dietary advice was high calorie, texture modification and prescription nutritional supplements. Artificial nutrition and hydration (ANH) was discussed when patients developed dysphagia, energy intake was inadequate, weight loss of 10% or forced vital capacity (FVC) was reduced. A percutaneous endoscopic gastrostomy (PEG) service was available at all clinics/centres. CONCLUSION: Nutritional assessment techniques and dietary advice should be standardized. Dietetic collaboration at national and international level is recommended to reduce professional isolation. Training and support in ALS/MND nutrition should be made available as part of post-dietetic registration. Further dietetic research is required to stimulate nutritional care.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".