Trends in Cerebral Palsy in Saskatoon, Canada in the Last Four Decades (P6.330)
Bibliographic record
Abstract
Objective: We hypothesized that the change in neonatology in Saskatoon has had no impact on Cerebral Palsy (CP). Background: Cerebral Palsy (CP) is a neurological condition arising from a perinatal or intra-uterine stroke. Although the neurological lesion is static, the rapidly growing child leads to a more dynamic picture. Many of the effects of CP may be reduced through orthopedic interventions, in concert with other disciplines. The modern CP clinic is multi-disciplinary in nature. For over 40 years children with CP in and around Saskatoon, Canada have been treated through the Kinsman Childrens’ Centre (KCC). This is a unique population database covering all CP patients in the region. In the past 25 years in particular there has been a revolution in neonatal care, with ever younger gestational age children graduating from the neonatal intensive care units (NICU). Methods: We interrogated the KCC database to determine if the changes in neonatal care were seen in the prevalence and type of CP including co-morbidities. Results: Over the last 40 years the incidence of hip and spine issues requiring orthopedic intervention has halved (76-39[percnt] and 92-55[percnt] respectively), and the prevalence of epilepsy has shown a similar drop (76-58[percnt]). No change in disturbance of visual function has been seen. Conclusions: The KCC database is a valuable resource for longitudinal CP studies. Although improvements in care have resulted in a decreased burden of disability there remains scope for further improvements, especially in improving 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.015 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".