Gross Motor Function Measure Evolution Ratio: Use as a Control for Natural Progression in Cerebral Palsy-Reference-Cited by-同舟云学术

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Gross Motor Function Measure Evolution Ratio: Use as a Control for Natural Progression in Cerebral Palsy

Published:2016-05 Issue:5 Volume:97 Page:807-814.e2
ISSN:0003-9993
Container-title:Archives of Physical Medicine and Rehabilitation
language:en
Short-container-title:Archives of Physical Medicine and Rehabilitation

Author:

Marois Pierre,Marois Mikael,Pouliot-Laforte Annie,Vanasse Michel,Lambert Jean,Ballaz Laurent

Publisher

Elsevier BV

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation

Reference23 articles.

1. Proposed definition and classification of cerebral palsy, April 2005;Bax;Dev Med Child Neurol,2005

2. The Gross Motor Function Measure: a means to evaluate the effects of physical therapy;Russell;Dev Med Child Neurol,1989

3. Gross Motor Function Measure (GMFM-66 and GMFM-88) user’s manual;Russell,2002

4. Development and reliability of a system to classify gross motor function in children with cerebral palsy;Palisano;Dev Med Child Neurol,1997

5. Improved scaling of the Gross Motor Function Measure for children with cerebral palsy: evidence of reliability and validity;Russell;Phys Ther,2000

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using the gross motor function measure evolution ratio to compare different dosage of hyperbaric treatment with conventional therapies in children with cerebral palsy – could it end the controversy?;Frontiers in Neurology;2024-03-08

2. A preliminary study on the spasticity reduction of quadriceps after selective dorsal rhizotomy in pediatric cases of spastic cerebral palsy;Acta Neurochirurgica;2024-02-26

3. Muscle co-contraction and co-activation in cerebral palsy during gait: A scoping review;Gait & Posture;2023-09

4. Motor training for young children with cerebral palsy: A single‐blind randomized controlled trial;Developmental Medicine & Child Neurology;2023-08-07

5. Unsupervised machine learning effectively clusters pediatric spastic cerebral palsy patients for determination of optimal responders to selective dorsal rhizotomy;Scientific Reports;2023-05-19

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