Burden of Spinal Muscular Atrophy (SMA) on Patients and Caregivers in Canada
Bibliographic record
Abstract
BACKGROUND: Spinal muscular atrophy (SMA) is a rare neurodegenerative disease characterized by progressive muscular weakness, which occurs in one in 6,000 to 10,000 live births. The burden of SMA on Canadian patients and caregivers is not known. OBJECTIVE: To characterize the burden of SMA in Canada as reported by patients and caregivers, including disease and treatment impacts, indirect costs, and caregiver burden. METHODS: Surveys were distributed by Cure SMA Canada and Muscular Dystrophy Canada to individuals with SMA and their caregivers. The online surveys were anonymous and completed between January 28 and February 21, 2020. RESULTS: 965 patient and 962 caregiver responses met the eligibility criteria. Patients reported SMA subtypes as: type I (25.0%), type II (41.3%), type III (29.3%). Using the EQ-5D, patients were shown to have impaired quality of life with an average health utility index of 0.49 (SD: 0.26). The median expenditure was $4,500 CAD (IQR: $1,587 - $11,000) for assistive devices; $6,800 CAD (IQR: $3,900-$13,000) on health professional services; and $1,200 CAD (IQR: $600 -$3,100) on SMA-related travel and accommodation in the past 12 months. Caregivers reported needing respite care (45.7%), physiotherapy for an injury from a lift/transfer (45.7%), or other health impacts (63.3%). Caregivers reported changes to personal plans, sleep disturbances, and work adjustments, with a mean Caregiver Strain Index score of 7.5 [SD: 3.3]. CONCLUSION: SMA in Canada is associated with a significant burden for patients and their caregivers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".