Evidence-informed clinical perspectives on selecting gait trainer features for children with cerebral palsy
Bibliographic record
Abstract
Background/Aims: Children with cerebral palsy often use gait trainers to augment their mobility. These are supportive walking devices that take the weight of the body through a solid or fabric ‘seat’, stabilise the trunk, and support the pelvis. The purpose of this analysis article is to review the evidence and clinical considerations influencing the selection of gait trainer features for children with cerebral palsy and to describe gait trainer models. Methods: A scoping methodology was used to identify any relevant research and clinical literature supporting the selection of different gait trainer features. An internet search was undertaken to identify a wide range of gait trainers currently available. Factors influencing the selection of different gait trainer features including frame and wheel style and support options are discussed, combining information from manufacturers’ websites, expert opinion and evidence from the literature review. Results: Twenty-seven articles were included in this study. These included nine intervention studies, three articles describing gait trainer development, three expert opinion articles, a survey of therapist opinion and a study comparing physical properties of three different gait trainers. In addition information on device features relevant to gait trainers was drawn from 10 intervention studies of children using hand-held walkers. Twenty-four different gait trainers were identified as being commercially available in the UK, Canada and USA at time of searching. Conclusions: Evidence supporting selection of gait trainer styles and features for children with cerebral palsy is very limited. Further research is needed in all aspects of gait trainer assessment, selection and implementation. Clinical consensus may be helpful in providing guidance in decision-making around prescription and use of gait trainers and features for children with cerebral palsy who have differing clinical profiles and needs.
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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 | 0.070 | 0.218 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".