ArticleChildren (Basel, Switzerland)2025
The Gait Pattern Classification System for Children with Spastic Cerebral Palsy (GaP-CP)-A Validity Study.
Article in Children (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gait analysis in cerebral palsy (2005-2025): a bibliometric mapping of research trends, collaboration networks, and emerging technologies.Frontiers in neurologyPooled it
- The Utilization of a Gait Pattern Classification System to Investigate the Effects of Ankle-Foot Orthoses on Gait in Children with Cerebral Palsy.Children (Basel, Switzerland) · 2026Article
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7 authors.
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Abstract
backgroundIn order to classify the gait of children with spastic cerebral palsy (sCP), the "gait pattern classification system for children with sCP" (GaP-CP) has been developed, based on a systematic review and complemented by an additional class of "mild deviations". The objective of the current study was to examine the content and construct validity of the GaP-CP.
methodsStatistical non-parametric comparisons identified the differences between the kinematics (N = 270) and kinetics (N = 208) of children with sCP and children with typically developing gait (N = 56) (content validity-aim 1), and between neighboring patterns (construct validity-aim 2a). Pattern-specific clinical phenotypes were explored based on the differences between all gait patterns (Kruskal-Wallis comparisons with post hoc Mann-Whitney U tests) in patient- and impairment-specific characteristics (construct validity-aim 2b).
resultsThe apparent and true equinus were the most and least prevalent patterns, respectively. The majority of the original classification rules were confirmed by the patient data, indicating good content validity of the GaP-CP. Its construct validity was strengthened by distinguishing between gait deviations of neighboring patterns and differentiating between gait patterns based on patient-specific characteristics, leading to pattern-specific phenotypes. Yet, pattern-specific phenotypes could not be clearly defined based on the impairment-specific comparisons.
conclusionsThe current results support the validity of the GaP-CP. Refined classification rules, using more precise terminology, establish a roadmap for its clinical implementation. The pattern-specific clinical phenotypes enable its use in a clinical context and may aid clinical decision-making.
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