D.11 Trends in cerebral palsy in Saskatoon, Saskatchewan in the last four decades
Bibliographic record
Abstract
Background: Cerebral Palsy (CP) is a neurological condition arising from a perinatal or intra-uterine stroke. In the past 25 years there has been a revolution in neonatal care. For over 40 years children with CP in and around Saskatoon have been treated through the Kinsman Childrens’ Centre (KCC). This is a unique population database covering all CP patients in the region. We analyzed the KCC database to determine if the recent changes in neonatal care were correlated with the incidence of CP co-morbidities. Methods: A retrospective study using a Saskatchewan database of cerebral palsy data from the last four decades. Results: Over the last 40 years the incidence of visual disturbance and diagnoses of epilepsy in children with CP have remained stable regardless of advances in neonatal care. However, incidences of spine and hip issues requiring orthopedic intervention have halved. Conclusions: We hypothesize that advances in neonatal care have been successful in decreasing the incidence of gross motor impairments however have yet to significantly impact impairments relating to cortical network function. Although improvements in care have resulted in a decreased burden of disability, there remains opportunity for further improvements, especially in the settings of epilepsy and long-term visual function.
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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 | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".