Stability of the Gross Motor Function Classification System in adults with cerebral palsy
Bibliographic record
Abstract
To determine the stability of Gross Motor Function Classification System (GMFCS) levels between approximately 12 years of age and adulthood (i.e. > 16y) using a matched chart review. Adult health records from the Ottawa Rehabilitation Centre were matched with childhood health records from the Ottawa Children's Treatment Centre (OCTC). Health records were available for 103 adults (52 males, 51 females) with cerebral palsy (CP; age range 17-38y; mean age 22y [SD 4y]) who had also been seen at the OCTC at a mean age of 12 years (SD 1y). GMFCS levels as adults were: Level I, n= 10; Level II, n= 24; Level III, n= 21; Level IV, n= 30; and Level V, n= 18. Adult participants were classified using the GMFCS at the time they were last seen by a rehabilitation specialist, sometime between June 2002 and June 2005. Corresponding paediatric charts were reviewed and classified by two independent raters blinded to the adult GMFCS levels. GMFCS levels around age 12 were: Level I, n= 20; Level II, n= 13; Level III, n= 22; Level IV, n= 35; and Level V, n= 13. Interrater reliability for childhood health records was determined with a quadratic weighted kappa and was 0.978. Stability of GMFCS levels was also assessed using the quadratic weighted kappa and was 0.895. The positive predictive value of the GMFCS at 12 years of age to predict walking without mobility aids by adulthood is 0.88. If the child is a wheelchair user at around age 12 years, the positive predictive value is 0.96 that the individual will still be a wheelchair user as an adult. This study supports previous findings that interrater reliability when using the GMFCS is very high. It also shows that the GMFCS level observed around the age of 12 years is highly predictive of adult motor function. This provides important information for individuals with CP, their families, and care providers as they plan for future care needs and rehabilitation intervention.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".