Body weight-supported gait training for patients with spinal cord injury: a network meta-analysis of randomised controlled trials

Effect of Body Weight Support Training on Lower Extremity Motor Function in Patients With Spinal Cord Injury: A Systematic Review and Meta-analysis

OBJECTIVES

The aims of the study are to systematically evaluate the effect of body weight support training on lower extremity motor function(s) in patients with spinal cord injury and to compare the effect differences among three body weight support training methods.

DESIGN

PubMed, Web of Science, Cochrane Library, Embase, CNKI, CBM, China Scientific Journal, and Wan Fang databases were searched until December 31, 2022. Meta-analysis and network meta-analysis were conducted using RevMan 5.4 and ADDIS 1.16.8.

RESULTS

Nineteen randomized controlled trials involving 864 patients were included. The meta-analysis showed that body weight support training could improve lower extremity motor scores according to the International Standards for Neurological Classification of Spinal Cord Injury standard (mean difference = 6.38, 95% confidence interval = 3.96-8.80, P < 0.05), walking speed (standard mean difference = 0.77, 95% confidence interval = 0.52-1.02, P < 0.05), and modified Barthel Index scores (mean difference = 9.85, 95% confidence interval = 8.39-11.30, P < 0.05). The network meta-analysis showed no significant difference among the three body weight support training methods for improving lower extremity motor scores in patients with spinal cord injury. The best probability ranking of the body weight support training methods for improving lower extremity motor scores in patients with spinal cord injury was robot-assisted gait training ( P = 0.60), followed by aquatic exercise ( P = 0.21) and body weight support training ( P = 0.19).

CONCLUSIONS

Body weight support training can improve lower extremity motor score in patients with spinal cord injury. No significant difference was observed among the three body weight support training methods, but robot-assisted gait training may produce the best effect.

The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis

Background

With the aging of the global population, Spinal injuries are often prone to occur and affect human health. The development of technology has put robots on the stage to assist in the treatment of spinal injuries.

Methods

A comprehensive literature search were carried out in multiple databases, including PubMed, Medline (Ovid), Web of Science, Cochrane, Embase, Scopus, CKNI, Wang fang, VIP database, Sino Med, Clinical Trails until 20th, June, 2023 to collect effect of robot-assisted gait training for patients with spinal cord injury patients. Primary outcome includes any changes of gait distance and gait speed. Secondary outcomes include any changes in functions (Such as TUG, Leg strength, 10 MWT) and any advent events. Data were extracted from two independent individuals and Cochrane Risk of Bias tool version 2.0 was assessed for the included studies. Systematic review and meta-analysis were performed by RevMan 5.3 software.

Results

11 studies were included in meta-analysis. The result showed that gait distance [WMD = 16.05, 95% CI (-15.73, 47.83), I2 = 69%], gait speed (RAGT vs. regular treatment) [WMD = 0.01, 95% CI (-0.04, 0.05), I2 = 43%], gait speed (RAGT vs. no intervention) [WMD = 0.07, 95% CI (0.01, 0.12), I2 = 0%], leg strength [WMD = 0.59, 95% CI (-1.22, 2.40), I2 = 29%], TUG [WMD = 9.25, 95% CI (2.76, 15.73), I2 = 74%], 10 MWT [WMD = 0.01, 95% CI (-0.15, 0.16), I2 = 0%], and 6 MWT [WMD = 1.79, 95% CI (-21.32, 24.90), I2 = 0%].

Conclusion

Robot-assisted gait training seems to be helpful for patients with spinal cord to improve TUG. It may not affect gait distance, gait speed, leg strength, 10 MWT, and 6 MWT.