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Record W4283376240 · doi:10.1017/cjn.2022.180

P.084 5q spinal muscular atrophy Canadian Paediatric Surveillance Program – 2020-2021 results

2022· article· en· W4283376240 on OpenAlexaffvenueabout
T Price, V Hodgkinson, M Innes, L Korngut, J Parboosingh, JK Mah

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsSpinal muscular atrophySMA*SMN1MedicinePediatricsIncidence (geometry)Neuromuscular diseaseHypotoniaDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Background: Spinal muscular atrophy (SMA) is the leading genetic cause of infant death and the second most common autosomal recessive disorder; most cases are due to homozygous deletion of SMN1 gene. Methods: This study uses the Canadian Paediatric Surveillance Program to determine the minimum annual incidence of 5q-SMA from birth to 18 years of age in Canada. The protocol can be accessed at www.cpsp.cps.ca/surveillance. Results: Eighteen cases were reported in 2020-2021. Ten (55%) cases were reported from Ontario and the remaining cases were reported from Atlantic Canada and Western Canada. Their median age was 11 months (IQR 4–21); 61% were male. The most common presenting symptoms were hypotonia and delayed motor milestones in 12 (86%) and 10 (71%) cases respectively. On average, the diagnosis was delayed after onset of symptoms by three months for SMA Type 1, by eight months for Type 2, and by 18 months for Type 3. Twelve (86%) cases received nusinersen as their first disease-modifying treatment. Conclusions: Early recognition and newborn screening are essential to reduce diagnostic delay and enable timely treatment of SMA. Other data sources including the Canadian Neuromuscular Disease Registry and molecular genetic laboratories will be used to estimate the annual incidence of pediatric SMA in Canada.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0060.005
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.294
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes3
Has abstractyes

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