Epidemiology of spinal muscular atrophy caused by <scp><i>SMN1</i></scp> deletions in Maritime Canada
Bibliographic record
Abstract
Spinal muscular atrophy (SMA), caused primarily by deletions in SMN1, leads to progressive loss of lower motor neurons. Newborn screening for SMA is under consideration for the Maritime Newborn Screening Program. The incidence of this disease has not been explored in Maritime Canada which includes the provinces of Nova Scotia (NS), New Brunswick (NB), and Prince Edward Island (PEI). In this retrospective chart review, patients were identified from the IWK Clinical Genomics Lab and Maritime Medical Genetics Service databases for SMN1 genetic testing between 2000 and 2020. The incidence of SMA in Maritime Canada was 1:11,900. Among patients born between 2000 and 2020, NB and PEI had lower proportions of type 1 SMA (12% and 0%, respectively) when compared to NS (50%). The majority of type 1 patients had 2 copies of SMN2, the majority of type 2 patients had 3 copies, and the majority of type 3 patients had 4 copies. There was a delay to molecular diagnosis for all subtypes, longest in type 3. This study provides the best available SMA epidemiology in Maritime Canada and expands our understanding of the pattern of disease severity relative to SMN2 copy number in this region.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".