Adults with a diagnosis of cerebral palsy: a mapping review of long-term outcomes
Bibliographic record
Abstract
AIM: Cerebral palsy (CP) is recognized as a lifespan condition. This mapping review identifies outcomes that have been measured in adults with CP between 1970 and 2010 to determine if either the outcomes evaluated or the research methodologies have changed substantially. METHOD: We performed a literature review. For studies to be included, participants had to be 16 years or older and 80% of the sample had to have a diagnosis of CP. Articles were grouped by decade, and outcomes were categorized using the International Classification of Functioning, Disability and Health (ICF) framework and terminology. RESULTS: Fifty-eight articles were included in the mapping review. Both the number of studies and the types of outcomes investigated increased from 1970 to 2010. Outcomes representing the ICF component of Body Function and Structure were present across the period reviewed, whereas interest in contextual (personal or environmental) factors has primarily emerged since 2000. INTERPRETATION: Gaps were identified by the mapping review. Large age ranges and heterogeneity of sample populations made it difficult to determine if the outcomes reported were due to ageing or the long-term consequences of CP. In addition, most reviewed articles described outcomes categorically, with few papers providing explanations or solutions to reported outcomes.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".