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Record W7115013150 · doi:10.1093/pch/pxaf116.110

110 Delay to diagnosis of Duchenne muscular dystrophy

2025· article· en· W7115013150 on OpenAlexaffabout

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsDuchenne muscular dystrophyWeaknessFamily historyMuscular dystrophyMedical recordRehabilitationAge of onsetMuscle weakness

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.005
GPT teacher head0.256
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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