P.074 Myopathic aspects of Mowat-Wilson Syndrome
Bibliographic record
Abstract
Background: Mowat-Wilson Syndrome (MWS) is a genetic syndrome (ZEB2, OMIM: 235730) that occurs in 1 in 50000 births. It is characterized by microcephaly, intellectual disability, dysmorphisms (prominent chin, cupped ears, broad nasal bridge) and Hirschsprung’s disease. Although motor delay and hypotonia are common components, a myopathy has not been described in MWS literature. A childhood case with myopathic features prompted further study of this rare disease. Methods: Patients were recruited from the Mowat-Wilson Foundation via email or social media to complete a survey. Results: Thirteen surveys were returned to date. Although 54% of the patients reported motor delay, none of the patients had myopathy investigations. The index patient, presented at 1 year old, with hypotonia and developmental delay. Pregnancy and family history were unremarkable. Investigations revealed high CK levels (range 300 to 500 U/L), EMG confirmed myopathic motor units, and muscle biopsy showed type 1 fibre predominance. Single gene sequencing revealed pathogenic mutations of ZEB2, confirming a diagnosis of MWS. Conclusions: The description of myopathic features expands the spectrum of this rare syndrome and adds to the differential diagnosis of hyperCKemia in early childhood.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".