Fractures in Children With Cerebral Palsy: A Systematic Review
Bibliographic record
Abstract
CONTEXT: Children with cerebral palsy (CP) functioning at Gross Motor Function Classification System (GMFCS) level III-V are at risk of reduced bone strength and low-trauma fractures. OBJECTIVE: This systematic literature review aimed to identify fracture rates, locations, and risk factors in this population. DATA SOURCES: Five databases (MEDLINE, Embase, CINAHL, Web of Science, and PsycINFO) were searched up until November 2024. STUDY SELECTION: Studies were included if they involved children younger than 18 years with CP (GMFCS III-V). Included study designs were cross-sectional, cohort, case-control, or experimental, including both randomized control trials and quasi-experimental, which reported baseline data separately. The Newcastle Ottawa Scale was used to assess methodological quality. DATA EXTRACTION: Study characteristics, population characteristics, fracture rate, location, and risk factors identified were extracted. RESULTS: Out of 2220 studies, 30 were included. The fracture rate ranged from 2.2 to 4.8 per 100 child-years, and lifetime prevalence estimates were between 9.4% and 15.5%. The most frequently reported fracture location was in the lower extremities, particularly the femur (54.1%). Risk factors for fracture supported by high-quality evidence were low bone mineral density, epilepsy, and weight imbalance; factors with mixed-quality evidence were anticonvulsant use, feeding difficulties, reduced weight bearing, history of fracture, and increasing age. LIMITATIONS: Variability in methodological quality across studies and inconsistent reporting limited the generalizability of findings. CONCLUSIONS: Children with CP functioning at GMFCS III-V are prone to fragility fractures in the lower extremities with several modifiable risk factors identified, including poor nutrition, weight imbalance, uncontrolled seizures, and limited weight-bearing activity.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".