44 Prevalence estimates of Cerebral Palsy among 4-year-old children living Manitoba, Births: 2013-2015
Bibliographic record
Abstract
Abstract Background Cerebral palsy (CP) is the most common physical disability in children with an estimated prevalence of 2.1 per 1000 live births. Understanding the provincial prevalence of CP and describing clinical sub-types within Manitoba assists with planning future funding and ensuring adequate resources. Objectives This study aimed to determine the prevalence estimate of CP among 4-year-old children in Manitoba, and further describe children’s clinical presentation. Design/Methods As the Rehabilitation Centre for Children (RCC) is a referral site for all Manitoba children requiring multidisciplinary evaluation/treatment for CP, this retrospective study used RCC’s electronic medical records to identify all 4-year-old children who had a confirmed CP diagnosis, were living in Manitoba and were born between Jan 2013 to Dec 2015. To ensure provincial data was complete, information was cross-referenced with the Pediatric Neurology Clinic’s medical records and the Neonatal Follow-up database. Prevalence rate was determined using Government of Manitoba denominators of same age children. The Gross Motor Function Classification system (GMFCS) determined the child’s level of functioning Results The prevalence of CP in Manitoba (birth years 2013-2015) for 108 4-year-old-children is 2.05 (95% CI1.7, 2.5) per 1000 4-year-old children. Of the 108 4-year-old children with CP, 6 (5.6%) had a post neonatal cause, while 102 (94.4%) had a perinatal cause; and 51/108 (47%) were born preterm. Motor subtypes for 108 children are: Spastic 99 (91.7%) including hemiplegia 41.4%, diplegia 21.2%, triplegia 8.1%, and quadriplegia 29.3%; Dyskinetic 4 (3.7%); Ataxic 3(2.8%) and Hypotonic 2 (1.8%). 58/108 (54%) were independent ambulators (GMFCS level II/II). Conclusion Our provincial rate of CP is consistent with the prevalence reported in developed countries. Understanding the clinical presentation assists in informing treatment and resources for children with CP in our province.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".