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Systematic review on gait classifications in children with cerebral palsy: An update
Eirini Papageorgiou1, Angela Nieuwenhuys1, Ines Vandekerckhove1
1KU Leuven, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), Leuven, Belgium.
Insights
Recent advancements in gait classification systems (GCSs) for children with cerebral palsy (CP) show improved quality and clinical applicability. Six consensus-based gait patterns offer a common language for healthcare providers.
Area of Science:
- Biomedical Engineering
- Clinical Research
- Rehabilitation Medicine
Background:
- Gait classification systems (GCSs) are crucial for categorizing pathological gait in populations like children with cerebral palsy (CP).
- Previous systematic reviews have summarized GCSs for CP, highlighting the need for updated information.
- Standardized GCSs improve communication, treatment planning, and patient evaluation over time.
Purpose of the Study:
- To identify recently developed GCSs for children with CP.
- To critically appraise the methodological quality of these GCSs.
- To determine the most frequently reported multiple joint gait patterns for CP in the literature.
Main Methods:
- A systematic literature search was conducted across four major databases (Medline, EMBASE, CINAHL, Web of Science) up to July 2017.
- The validity and reliability of identified GCSs were assessed using established criteria.
- Published GCSs were analyzed to identify consensus-based multiple joint gait patterns.
Main Results:
- Thirty-six studies were included, with 15 GCSs not present in the prior review.
- The methodological quality, validity, and reliability of most GCSs have improved.
- Six distinct multiple joint gait patterns for children with CP achieved a consensus in the literature.
Conclusions:
- Significant progress has been made in the development and quality of GCSs for CP since the last review.
- The improved GCSs demonstrate enhanced applicability in clinical and research settings.
- The identified six consensus gait patterns can facilitate clinical practice, research, and establish a shared terminology among healthcare professionals.
Background:
Gait classification systems (GCSs) aim to aid clinicians and researchers in categorizing the gait of pathological populations, with the intent to improve the communication between them, to support treatment planning and enable the evaluation of patients over time. Throughout the years, various GCSs have been defined for children with cerebral palsy (CP), which were first summarized in a systematic review published in 2007.
Research Question:
The current systematic review aimed to: a) identify GCSs that have been more recently developed, b) appraise their methodological quality and c) specify the most commonly used multiple joint gait patterns for children with CP reported in literature.
Methods:
Four databases (Medline, EMBASE, CINAHL, Web of Science) were searched until July 2017. Several forms of validity and the reliability of these studies were assessed according to the principles of the consensus-based standards for the selection of health measurement instruments checklist or criteria defined in the original review. All published GCSs were also scrutinized in order to identify multiple joint patterns that have reached a predefined level of consensus.
Results:
Thirty-six studies were considered in this review, 15 of them being GCSs that were not included in the original review. The validity, reliability and clinical applicability of all GCSs was reported, including 3 studies from the original review. Six multiple joint patterns for children with CP reached a consensus in literature.
Conclusion:
Since the previous review, obvious progress has been made in the field of GCSs for CP, resulting in improved methodological quality of the majority of published GCSs. This encouraged the applicability of GCSs in clinical or research settings. The six reliable, valid and commonly used multiple joint patterns, emerging from this systematic review, may aid clinical and research applications and create a common language among healthcare providers.
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