Biomechanical differences at the hemiparetic knee in people with stroke: a systematic review and meta-analysis protocol

References

• Feigin VL, Norrving B, Mensah GA. Global burden of stroke. Circ Res. 2017;120(3):439–448.
   PubMed Web of Science ®Google Scholar
• Ranta A. Projected stroke volumes to provide a 10-year direction for New Zealand stroke services. N Z Med J. 2018;131(1477):15–28.
   PubMed Web of Science ®Google Scholar
• Kim K, Kim YM, Kim EK. Correlation between the activities of daily living of stroke patients in a community setting and their quality of life. J Phys Ther Sci. 2014;26(3):417–419.
   PubMedGoogle Scholar
• Beyaert C, Vasa R, Frykberg GE. Gait post-stroke: pathophysiology and rehabilitation strategies. Neurophysiol Clin. 2015;45(4-5):335–355.
   PubMed Web of Science ®Google Scholar
• Lord SE, McPherson K, McNaughton HK, et al. Community ambulation after stroke: how important and obtainable is it and what measures appear predictive? Arch Phys Med Rehabil. 2004;85(2):234–239.
   PubMed Web of Science ®Google Scholar
• Marrocco S, Crosby LD, Jones IC, et al. Knee loading patterns of the non-paretic and paretic legs during post-stroke gait. Gait Posture. 2016;49:297–302.
   PubMed Web of Science ®Google Scholar
• Ferrarello F, Bianchi VAM, Baccini M, et al. Tools for observational gait analysis in patients with stroke: a systematic review. Phys Ther. 2013;93(12):1673–1685.
   PubMed Web of Science ®Google Scholar
• Richards C, Malouin F, Dean C. Gait in stroke: assessment and rehabilitation. Clin Geriatr Med. 1999;15(4):833–855.
   PubMed Web of Science ®Google Scholar
• Toro B, Nester C, Farren P. A review of observational gait assessment in clinical practice. Physiother Theory Pract. 2003;19(3):137–149.
   Google Scholar
• Colyer SL, Evans M, Cosker DP, et al. A Review of the evolution of vision-based motion analysis and the integration of advanced computer vision methods towards developing a markerless system. Sports Med Open. 2018;4(1):24–38.
   PubMedGoogle Scholar
• Kirtley C. Clinical gait analysis: theory and practice. London (UK): Elsevier; 2006.
   Google Scholar
• Alkjaer T, Simonsen EB, Dyhre-Poulsen P. Comparison of inverse dynamics calculated by two- and three-dimensional models during walking. Gait Posture. 2001;13(2):73–77.
   PubMed Web of Science ®Google Scholar
• Robertson DG, Caldwell G, Hamill J, et al. Research methods in biomechanics. 2nd ed. [Champaign]: Human Kinetics; 2013.
   Google Scholar
• Michelini A, Eshraghi A, Andrysek J. Two-dimensional video gait analysis: a systematic review of reliability, validity, and best practice considerations. Prosthet Orthot Int. 2020;44(4):245– 218.
   PubMed Web of Science ®Google Scholar
• Lee SJ, Hidler J. Biomechanics of overground vs. treadmill walking in healthy individuals. J Appl Physiol (1985)). 2008;104(3):747–755.
   PubMed Web of Science ®Google Scholar
• Watt JR, Franz JR, Jackson K, et al. A three-dimensional kinematic and kinetic comparison of overground and treadmill walking in healthy elderly subjects. Clin Biomech (Bristol, Avon)). 2010;25(5):444–449.
   PubMed Web of Science ®Google Scholar
• Puh U, Baer G. A comparison of treadmill walking and overground walking in independently ambulant stroke patients: a pilot study. Disabil Rehabil. 2009;31(3):202–210.
   PubMed Web of Science ®Google Scholar
• Kwakkel G, Kollen B, Twisk J. Impact of time on improvement of outcome after stroke. Stroke. 2006;37(9):2348–2353.
   PubMed Web of Science ®Google Scholar
• Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet. 2011;377(9778):1693–1702.
   PubMed Web of Science ®Google Scholar
• Carse B, Bowers R, Meadows BC, et al. The immediate effects of fitting and tuning solid ankle-foot orthoses in early stroke rehabilitation. Prosthet Orthot Int. 2015;39(6):454–462.
   PubMed Web of Science ®Google Scholar
• Chen CL, Chen HC, Tang SFT, et al. Gait performance with compensatory adaptations in stroke patients with different degrees of motor recovery. Am J Phys Med Rehabil. 2003;82(12):925–935.
   PubMed Web of Science ®Google Scholar
• Brincks J, Nielsen JF. Increased power generation in impaired lower extremities correlated with changes in walking speeds in sub-acute stroke patients. Clin Biomech (Bristol, Avon). 2012;27(2):138–144.
   PubMed Web of Science ®Google Scholar
• Chen CH, Lin KH, Lu TW, et al. Immediate effect of lateral-wedged insole on stance and ambulation after stroke. Am J Phys Med Rehabil. 2010;89:48–55.
   PubMed Web of Science ®Google Scholar
• Alcantara CC, Blanco J, De Oliveira LM, et al. Cryotherapy reduces muscle hypertonia, but does not affect lower limb strength or gait kinematics post-stroke: a randomized controlled crossover study. Top Stroke Rehabil. 2019;26(4):267–280.
   PubMed Web of Science ®Google Scholar
• Cruz TH, Lewek MD, Dhaher YY. Biomechanical impairments and gait adaptations post-stroke: multi-factorial associations. J Biomech. 2009;42(11):1673–1677.
   PubMed Web of Science ®Google Scholar
• Allen LM, Hasso AN, Handwerker J, et al. Sequence-specific MR imaging findings that are useful in dating ischemic stroke. Radiographics. 2012;32(5):1285–1297.
   PubMed Web of Science ®Google Scholar
• Moher D, Liberati A, Tetzlaff J, for the PRISMA Group, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339(jul21 1):b2535–346.
   PubMed Web of Science ®Google Scholar
• Thiese MS. Observational and interventional study design types; an overview. Biochem Med (Zagreb)). 2014;24(2):199–210.
   PubMed Web of Science ®Google Scholar
• Reeves BC, Deeks JJ, Higgins JPT, et al. Chapter 24: Including non-randomized studies on intervention effects. In: Higgins JPT, Thomas J, Chandler J, et al. Cochrane handbook for systematic reviews of interventions (version 6.1). 2020. Chichester (UK): John Wiley & Sons.
   Google Scholar
• Taylor R, Thomas-Gregory A. Case study research. Nurs Stand. 2015;29(41):36–40.
   PubMedGoogle Scholar
• Dekkers OM, Egger M, Altman DG, et al. Distinguishing case series from cohort studies. Ann Intern Med. 2012;156(1 Pt 1):37–41.
   PubMed Web of Science ®Google Scholar
• Coggon D. Epidemiology for the uninitiated. 5th ed. London (UK): BMJ Publishing Group; 2009.
   Google Scholar
• Carlson MDA, Morrison RS. Study design, precision, and validity in observational studies. J Palliat Med. 2009;12(1):77–82.
   PubMed Web of Science ®Google Scholar
• Cimolin V, Galli M. Summary measures for clinical gait analysis: a literature review. Gait Posture. 2014;39(4):1005–1010.
   PubMed Web of Science ®Google Scholar
• Kuys SS, Bew PG, Lynch MR, et al. Activity limitations experienced by people with stroke who receive inpatient rehabilitation: differences between 2001, 2005, and 2011. Arch Phys Med Rehabil. 2014;95(4):741–746.
   PubMed Web of Science ®Google Scholar
• Covidence - better systematic review management [Internet]. [cited 2019, Jun 18]. Available from: https://www.covidence.org/.
   Google Scholar
• Babineau J. Product review: Covidence (systematic review software). J Can Health Libr Assoc. 2014;35(2):68–71.
   Google Scholar
• Review Manager (RevMan). Version 5.4. Copenhagen: The Nordic Cochrane centre, the Cochrane collaboration; 2020.
   Google Scholar
• Israel H, Richter RR. A guide to understanding meta-analysis. J Orthop Sports Phys Ther. 2011;41(7):496–504.
   PubMed Web of Science ®Google Scholar
• Cohen J. Statistical power analysis for the behavioral sciences. New Jersey (USA): L. Erlbaum Associates; 1988.
   Google Scholar
• Cohen J. A power primer. Psychol Bull. 1992;112(1):155–159.
   PubMed Web of Science ®Google Scholar
• Deeks JJ, Higgins JPT, Altman DG, editors. Chapter 10: Analysing data and undertaking meta-analyses. In:Jpt H, J T, J C, et al. Cochrane handbook for systematic reviews of interventions (version 6.1). Chichester (UK): John Wiley & Sons; 2020.
   Google Scholar
• Higgins JPT, Li T, Deeks JJ, editors. Chapter 6, Choosing effect measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, et al. Cochrane handbook for systematic reviews of interventions (version 6.1). 2020. Chichester (UK): John Wiley & Sons.
   Google Scholar
• Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–384.
   PubMed Web of Science ®Google Scholar
• Kaur M, Ribeiro DC, Theis JC, et al. Movement patterns of the knee during gait following acl reconstruction: a systematic review and meta-analysis. Sports Med. 2016;46(12):1869–1895.
   PubMed Web of Science ®Google Scholar