Literature DB >> 12724586

Interobserver variability of gait analysis in patients with cerebral palsy.

Kenneth J Noonan1, Suzanne Halliday, Richard Browne, Shana O'Brien, Kosmas Kayes, Judy Feinberg.   

Abstract

In this study 11 ambulatory patients (mean 10.8 years) with spastic cerebral palsy were each evaluated with instrumented gait analysis at four different centers. After review of the data, each medical director chose from a list of treatment options. The average variability in static range of motion from physical examination ranged from 25 degrees to 50 degrees. Hip and knee sagittal motion had the best relative variability of 20 degrees to 24%. Via gait analysis, the average variability in sagittal, coronal, and transverse plane kinematic motions averaged 12, degrees 7 degrees, and 20 degrees, respectively. Increased variability was noted in transverse (worst) to coronal and finally sagittal (best) plane motion. Only two mildly affected patients had similar, but not exact, treatment recommendations. The authors conclude that substantial variations in raw data exist when the same cerebral palsy patient is evaluated at different gait centers. These data do not yield the same treatment recommendations in the majority of patients.

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Mesh:

Year:  2003        PMID: 12724586

Source DB:  PubMed          Journal:  J Pediatr Orthop        ISSN: 0271-6798            Impact factor:   2.324


  14 in total

1.  [The value of instrumented gait analysis in infantile cerebral palsy].

Authors:  L Döderlein; S Wolf
Journal:  Orthopade       Date:  2004-10       Impact factor: 1.087

2.  Commentary on an article by Pamela Thomason, BPhty, MPT, et al.: "Single-event multilevel surgery in children with spastic diplegia. A pilot randomized controlled trial".

Authors:  Mark F Abel; Diane L Damiano
Journal:  J Bone Joint Surg Am       Date:  2011-03-02       Impact factor: 5.284

3.  Criterion and construct validity of prosthesis-integrated measurement of joint moment data in persons with transtibial amputation.

Authors:  Goeran Fiedler; Brooke Slavens; Roger O Smith; Douglas Briggs; Brian J Hafner
Journal:  J Appl Biomech       Date:  2014-03-04       Impact factor: 1.833

4.  Reliability of 3-Dimensional Measures of Single-Leg Drop Landing Across 3 Institutions: Implications for Multicenter Research for Secondary ACL-Injury Prevention.

Authors:  Gregory D Myer; Nathaniel A Bates; Christopher A DiCesare; Kim D Barber Foss; Staci M Thomas; Samuel C Wordeman; Dai Sugimoto; Benjamin D Roewer; Jennifer M Medina McKeon; Stephanie L Di Stasi; Brian W Noehren; Michael McNally; Kevin R Ford; Adam W Kiefer; Timothy E Hewett
Journal:  J Sport Rehabil       Date:  2015-02-06       Impact factor: 1.931

5.  Characterizing multisegment foot kinematics during gait in diabetic foot patients.

Authors:  Zimi Sawacha; Giuseppe Cristoferi; Gabriella Guarneri; Stefano Corazza; Giulia Donà; Paolo Denti; Andrea Facchinetti; Angelo Avogaro; Claudio Cobelli
Journal:  J Neuroeng Rehabil       Date:  2009-10-23       Impact factor: 4.262

6.  Managing variability in the summary and comparison of gait data.

Authors:  Tom Chau; Scott Young; Sue Redekop
Journal:  J Neuroeng Rehabil       Date:  2005-07-29       Impact factor: 4.262

7.  CORRELATION BETWEEN VISUAL GAIT ANALYSIS AND FUNCTIONAL ASPECTS IN CEREBRAL PALSY.

Authors:  Maira Rech Folle; Ana Paula Tedesco; Renata D Agostini Nicolini-Panisson
Journal:  Acta Ortop Bras       Date:  2016 Sep-Oct       Impact factor: 0.513

8.  Gait analysis in children with cerebral palsy.

Authors:  Stéphane Armand; Geraldo Decoulon; Alice Bonnefoy-Mazure
Journal:  EFORT Open Rev       Date:  2016-12-22

9.  Gait analysis methods in rehabilitation.

Authors:  Richard Baker
Journal:  J Neuroeng Rehabil       Date:  2006-03-02       Impact factor: 4.262

10.  Cross-talk correction method for knee kinematics in gait analysis using principal component analysis (PCA): a new proposal.

Authors:  Audrey Baudet; Claire Morisset; Philippe d'Athis; Jean-Francis Maillefert; Jean-Marie Casillas; Paul Ornetti; Davy Laroche
Journal:  PLoS One       Date:  2014-07-08       Impact factor: 3.240

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