110 Delay to diagnosis of Duchenne muscular dystrophy
Bibliographic record
Abstract
Abstract Background Duchenne muscular dystrophy (DMD) is characterized by progressive weakness, early loss of ambulation and premature death in the second or third decade. DMD typically presents with painless weakness which may contributed to delay in its recognition. Treatments are emerging which necessitate a more rapid diagnosis. Objectives To assess the delay to diagnosis of Duchenne muscular dystrophy as defined by the difference between the age of first reported symptom onset to the age at which a definitive diagnosis (genetic testing or biopsy) was obtained. Design/Methods Retrospective chart review was performed for all patients with DMD at the Children’s Hospital of Eastern Ontario (CHEO) over 15 years (Jan 1, 2009 to Dec 31, 2023). The data presented is from CHEO in Ottawa, ON and will be combined with data from Bloorview Holland Rehabilitation Hospital (Toronto, ON) and British Columbia Children’s Hospital (Vancouver, BC) when available. Inclusion criteria included: 1) diagnosis of genetically or biopsy-confirmed DMD; 2) onset of weakness < 6 years old (to differentiate from Becker MD). Patients for whom complete records were unavailable, were not regularly followed (e.g. seen for second opinion or clinical trial participation) or had a family history of DMD (which may influence time-to-diagnosis) were excluded. Results We identified 72 DMD patient who received care at CHEO. A total of N=49 were included in the analysis with subjects excluded because of incomplete data N=10 (e.g. diagnosis made at another center); initial symptom onset > 6 years old (N=4) or; known family history (N=9). First clinical symptoms were reported by a parent, caregiver, teacher or health professional at a mean age of 2.7 years old (range: birth to 5.9 yo) with diagnosis of DMD made at mean age of 5.2 years old (range: 0.5 to 9.6 yo), representing a mean delay of 2.5 years (range: 0 to 6.8 years). Initial symptoms related to the subjects’ DMD included: weakness (61.2%), sports difficulty (61.2%), calf pseudohypertrophy (10.2%), language difficulties (8.2%) or muscle pain (2.0%). Cognitive delays were also reported frequently with a total of 36 / 49 (73.5%) subjects having a diagnosed learning disability and 7 / 49 (14.3%) autistic spectrum disorder. Conclusion The mean delay to diagnosis of patients followed at our centre (2.5 years) was similar to that in the United Kingdon (MD STARnet) which also reported a mean delay of 2.5 years from initial symptom-onset to diagnosis. We advocate for increased education to identify DMD earlier, particularly given the emerging therapies for this disorder.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".