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The Effect of Riding as an Alternative Treatment for Children with Cerebral Palsy: A Systematic Review and Meta-Analysis
Open accessAbstract
Background and Objectives: There is a substantial body of evidence assessing the effects of equine-assisted therapy on physiological and psychological aspects of individuals with disabilities. This study aimed to evaluate the physiological benefits of this alternative therapy for children with cerebral palsy (CP) by means of a systematic review and meta-analysis. Methods: This systematic review included all randomized and nonrandomized clinical trials of hippotherapy (HT), therapeutic horse riding (THR), and artificial saddle (AS) for the treatment of children with CP by a systematic search in Medline, Embase, Cochrane Library, and other databases up to November 2012. Articles were assessed for inclusion eligibility and quality by two independent reviewers. Any discordant case was re-reviewed and consensus was obtained after sufficient discussion. A random effects model of meta-analysis was applied to provide summary statistics for each outcome. Results: Seven randomized controlled trials (RCTs), 4 non-RCTs, and 7 self-controlled studies were included for quality assessment. Ten studies assessed the effect of HT, 5 evaluated THR, and 3 evaluated AS. The sample size differed from 3 to 72, and the quality ranged from low to moderate. Six studies were included in the meta-analysis, and there was a significant improvement in the 66-item Gross Motor Function Measure (GMFM-66), the GMFM-66/88 total score, and the dimension E of the GMFM. Although the asymmetry score tended to be reduced, it failed to reach statistical significance. Conclusions: HT, THR, and AS seem to improve the total score of the gross motor function via improvement of the walking, running, and jumping dimension. However, they are not likely to be of benefit to the symmetry of postural muscle activity. Studies included in this review lack high-quality RCTs with a sufficient number of subjects, which thus warrants further evaluations of these modalities using large-scale well-designed RCTs.
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Housseine, N., Punt, M. C., Browne, J. L., Meguid, T., Klipstein-Grobusch, K., Kwast, B. E., Franx, A., Grobbee, D. E., & Rijken, M. J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0206295 · Cited by 45
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Falconer, E., Kho, D., & Docherty, J. P. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s172810 · Cited by 45
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Community first responders for out-of-hospital cardiac arrest in adults and children
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Metadata
- Authors
- Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T.
- Venue
- Integrative Medicine International
- Publisher
- S. Karger AG
- Published
- 2015-04-02
- Volume
- 1
- Issue
- 4
- Pages
- 211-222
- ISSN
- 2296-7362 (ISSN-L)
- OpenAlex
- W246286872
- Cited by
- 18,657
- References
- 22
- FWCI
- 175.67
- Type
- journal article
- Language
- en
- Open access
- diamond
- Licence
- creativecommons.org/licenses/by-nc/3.0/ (vor)
- creativecommons.org/licenses/by-nc/3.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.