Abstract
Objective
To summarise the evidence for changes in physical activity outcomes during robot-assisted gait training in patients with spinal cord injury.
Data sources
The Web of Science, Physiotherapy Evidence Database, Central, Medline, Scopus and SportDiscus databases were searched in August 2025 for studies that recorded ≥1 physical activity outcome during robot-assisted gait training.
Review methods
Data were synthesised according to the Synthesis Without Meta-analysis guidelines. Risk of bias was assessed using the Physiotherapy Evidence Database scale or the Revised Risk of Bias Assessment Tool for Non-Randomised Studies. Certainty of evidence was established following the Grading of Recommendations, Assessment, Development and Evaluations framework. The report followed the Preferring Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Results
Thirty studies (638 participants) were eligible for inclusion. Quality of the randomised studies ranged from ‘Fair’ to ‘Good’, while there was high risk of bias for all non-randomised studies in ≥1 domain. Robot-assisted gait training significantly improved physical activity outcomes (up time, walk time, walk distance, walk speed and number of steps) over time, though these findings were constrained by very low certainty of evidence.
Conclusion
Up time, walk time, walk distance, walk speed, and number of steps were significantly improved across the robot-assisted gait training period for patients with spinal cord injury. Robot-assisted gait training during rehabilitation for people following spinal cord injury is a useful adjunct to support independence and improved walking ability.
Keywords
Introduction
Spinal cord injury is a serious neurological condition caused by damage to the vertebrae or surrounding tissue, which was recently estimated to have an incidence rate of 23.77 (95% confidence interval [95% CI]: 21.50–26.15) per 1,000,000 people globally. 1 Depending on the level and severity of spinal cord injury, patients can be affected to different degrees ranging from irreversible disability to impaired mobility and function that may improve over time.2,3 Among other effects, spinal cord injury is often associated with a partial or total loss in walking ability and is, therefore, of primary concern within rehabilitation protocols.4–6 This reduced walking ability leads to a sedentary lifestyle, which is linked to various physical co-morbidities, a decline in quality of life, and an increase in healthcare costs.3,7,8 While quality of life is affected by a combination of mental and physical health, mental health has been shown to improve to a greater degree than physical health over time, which remains low and negatively affects health-related quality of life. 7
A wide variety of assistive technologies are currently used to provide physical therapy to people with spinal cord injury, with their inclusion in gait training being common to help restore function and walking ability. 3 Robot-assisted gait training, via the use of mechanical exoskeletons, is one such technology that has shown promise in comparison to conventional physiotherapy.9–12 Several systematic reviews and meta-analyses have demonstrated the effectiveness of robot-assisted gait training on functional10,13–15 and cardiovascular outcomes for patients with spinal cord injury.16,17 Functional outcomes like the 6-minute walk test and 10-metre walk test have sometimes been used as measures of walk distance and speed to summarise changes in walking ability before and after robot-assisted gait training.18–21 However, these functional tests do not provide insight into the actual physical activity engagement spinal cord injury participants are exposed to during robot-assisted gait training interventions.
Considering that reducing sedentary time is particularly relevant for the numerous health-related outcomes outlined above, it is important to examine the role of robot-assisted gait training in supporting spinal cord injury rehabilitation. In line with the ‘PICO’ criteria, 22 the aim of this systematic review was therefore to summarise the evidence for patients with spinal cord injury who underwent robot-assisted gait training, for whom changes in physical activity outcomes were evaluated within training sessions at the beginning, during, or at the end of the training period.
Method
This systematic review was prospectively registered on the PROSPERO registry (ID: CRD42023382402) and was conducted according to the 2020 version of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.23,24 The narrative reporting of the data synthesis methods followed the Synthesis Without Meta-Analysis for systematic reviews guidelines. 25 Finally, the Grading of Recommendations, Assessment, Development and Evaluation framework was applied using the approach of Murad et al. 26 to provide a rating of the certainty of evidence for the outcomes extracted from included studies.27,28
Search strategy
All peer-reviewed publications, irrespective of study design or publication language, that involved adult (≥18 years of age) human participants with a clinically diagnosed spinal cord injury, who underwent some form of robot-assisted gait training as part of their rehabilitation, were considered potentially eligible for this systematic review. Previously published review articles or meta-analyses that appeared in the search results were not included in the final review. Studies involving a combination of neurological diseases, or people above and below 18 years of age, were only included if the data for the relevant participants could be separated.
To be included in the final review, at least one physical activity outcome during robot-assisted gait training needed to be reported. Physical activity outcomes were defined as any commonly used indicator of activity intensity or fitness such as: metabolic equivalents, walk distance, walk speed, number of steps and other gait parameters.29,30 Where outcomes were reported at multiple time points, only data from the beginning and end of the period were extracted so the effect of robot-assisted gait training over time could be examined. Physical activity outcomes that were recorded during functional tests (e.g., 6-minute walk test), or outside of the robot-assisted gait training period, were similarly not eligible for inclusion.
The Web of Science, MEDLINE, Cochrane Register of Controlled Trials, SportDiscus, Physiotherapy Evidence Database, and Scopus databases were initially searched in August 2023 with subsequent searches using identical terms and databases being conducted in June 2024 and August 2025 to ensure that any relevant articles published since the original search could also be included. A manual search through the reference lists of relevant review articles and meta-analyses from the results was also conducted.
With the exception of the Physiotherapy Evidence Database, the following search terms were entered into all of previously mentioned databases and registers: (brain injuries OR cerebral palsy OR multiple sclerosis OR Parkinson's disease OR spinal cord injury OR stroke OR cerebrovascular accident OR neurological) AND (robot* assisted gait train* OR robot-assisted gait training OR RGT OR electromechanic* assisted gait training OR EGT OR EMGT OR exoskeleton OR end effector) AND (physical activity OR exercise OR intensity OR activity level OR sedentary). Where possible, MeSH terms were used for the part of the search related to the neurological conditions. The searches were originally conducted as part of a wider literature search involving a range of neurological conditions for a PhD project (AR). Therefore, the strategy was broader than strictly necessary for the initial search results. For the purposes of this systematic review, articles that only involved people with neurological conditions other than SCI were excluded at the screening stage (Figure 1).

PRISMA flowchart for the literature screening process. 23
The Physiotherapy Evidence Database is more limited in its functionality than the other sources used for this review. Consequently, four separate searches were conducted using the following simpler terms to encapsulate all relevant literature: ‘robot assisted gait training’, ‘electromechanical gait training’, ‘exoskeleton’, and ‘end effector’.
Article screening and data collection
The systematic review management software Covidence (Veritas Health Innovation, Australia) was used to store the search results and track the screening process. Two reviewers (AR and JF) independently screened the title and abstract of each record to eliminate any clearly irrelevant articles from the review, before conducting a final round of screening based on the full-text of the remaining articles. For this final round of screening, a third independent reviewer (JB) was also involved. Any differences in the number of articles excluded at each phase of screening by the reviewers were addressed by meeting to discuss the differences. If the differences still could not be resolved, an additional reviewer (SH or LJ) moderated the discussion until consensus was achieved.
Potentially relevant articles published in languages other than English or German were first translated into English using Google Translate before being screened and either included or excluded, as appropriate.
A single reviewer (JB) manually extracted the following data from each study and organised them using spreadsheet software (Microsoft Excel, Microsoft, USA): inclusion/exclusion criteria, methods, participants, intervention, outcomes, funding, and conflict of interest statements. A second reviewer (AR) independently collected the same data from a sample of the included articles to confirm that the original data collection process had been conducted appropriately and consistently.
Where articles matched the eligibility criteria for inclusion but did not present data in a way that allowed extraction, the authors of those studies were contacted via email to request the necessary information. In instances where data were presented in graphical form, the online artificial intelligence-assisted tool WebPlotDigitizer v5 (https://automeris.io/) was used as a valid and reliable method to extract numerical data.31,32
Risk of bias assessment
The Physiotherapy Evidence Database scale was used to assess the risk of bias for included studies with a randomised design.33,34 For included studies with non-randomised study designs, the Revised Risk of Bias Assessment Tool for Nonrandomized Studies was applied as it is sensitive to different study designs. 35 Results from the assessments with the latter tool were presented in graphical form using a specialist visualisation software. 36 Finally, all included articles were evaluated in terms of their inherent level of evidence, in accordance with established evidence-based medicine guidelines. 37
Two reviewers (JB and JF) conducted the risk of bias and level of evidence evaluations independently. Disagreements were initially addressed through discussion and resolved with an additional moderated round of discussion, where necessary.
Data synthesis
Studies that measured ≥1 outcome of interest were grouped together per outcome to provide a summary of the observed change over time. An investigation of heterogeneity was not pre-specified for this review, though an informal assessment based on the extracted study characteristics was performed.
Data related to statistical analyses were extracted (e.g., p values, 95% CI), where reported. Where this was not possible, descriptive statistics (e.g., mean and standard deviation) were extracted to allow the overall direction of effect to be established.
Two reviewers (JB and JF) performed the certainty of evidence assessment independently. Disagreements were initially addressed through discussion and resolved with an additional moderated round of discussion, where necessary.
Results
A total of 2896 publications were identified from the databases and manual searches before being screened for duplicates and eligibility (Figure 1). A full summary of the characteristics of the final 30 studies included in the review can be found in Table 1. Two of the three studies rated with the highest level of evidence were pilot studies,38,39 while the most common level of evidence was level IV (n = 15 studies; Table 1).
Characteristics of the included studies (n = 30).
*=for primary outcomes only. 2MWT = 2-Minute Walk Test; 6MWT = 6-Minute Walk Test; 10MWT = 10-Metre Walk Test; ASIA: American Spinal Injury Association; BW: Bodyweight; FES: Functional Electrical Stimulation; IQR: Interquartile Range; METs: Metabolic Equivalents; MVPA: Moderate-Vigorous Physical Activity; RAGT: Robot-Assisted Gait Training; RCT: Randomised Controlled Trial; RoM: Range-of-Motio n; RPE: Rating of Perceived Exertion; TUG: Timed Up-and-Go.
Numerical data presented either as ‘n’ or mean ± SD unless otherwise stated. Sample size column reflects the total number of participants initially recruited to each study.
Thirteen of the included studies involved the use of an Ekso exoskeleton;38,40–51 five used a Lokomat device;39,50–53 four used a Hybrid Assistive Limb;54–57 three used the ReWalk;45,58,59 two used the ABLE exo-skeleton;60,61 and another two used the LEXO robotic gait trainer.62,63 One study did not report the name of the device, 64 and the remaining three studies involved the use of a discrete exoskeleton.65–67
Information related to the training period indicated high variability in the protocol used: from a single training session40,62 to three sessions per week for six months. 52 The most common training session duration was 60–90 min (n = 18; 60% studies), 3–5 times per week (n = 17; 57% studies), for 6–12 weeks (n = 10; 33% studies).
Table 2 summarises the risk of bias assessment conducted using the Physiotherapy Evidence Database scale for the randomised studies. Eligibility criteria were reported in all of the included randomised controlled trials and their overall methodological quality ranged from ‘fair’ (n = 5) to ‘good’ (n = 3), with the total scores ranging from 4/10 67 to 8/10. 39 Four studies received total scores of 5/10, and the remaining paper scored a total of 6/10.53,61
Summary of risk of bias assessment for included randomised studies according to the 11 domains of the PEDro scale.
Calculated by summing the points from items 2–11 (‘Y’ = 1 point, ‘N’ = 0 points); *total score <4 = ‘poor’, 4–5 = ‘fair’, 6–8 = ‘good’, 9–10 = ‘excellent’ (Cashin and McAuley, 2020).
Figure 2 presents the results of the risk of bias assessment using the Revised Risk of Bias Assessment Tool for Nonrandomized Studies. 21/22 of the studies assessed with this tool were deemed to have a high risk of bias for the ‘Confounders’ domain, while all 22 had low risk of bias for the ‘Selective outcome reporting’ domain. There were mixed results for the remaining domains.

Risk of bias assessment results for non-randomised studies. Figure created using the Robvis tool. 36
The data for physical activity outcomes reported by multiple studies at the beginning and end of the gait training can be found in Table 3. A list of other relevant physical activity outcomes that were recorded by only one study can be found within the supplementary materials (Supp 1). Relevant outcome data that were only reported as an overall average across the training period can also be found within the supplementary materials (Supp 2). Finally, the data for the secondary outcomes of interest (2-min walk test, 6-min walk test, 10-metre walk test, timed up-and-go test, and rating of perceived exertion) reported by multiple studies can be found in Supp 3.
Mean physical activity outcome data from included studies presenting results from the start and end of robot-assisted gait training (RAGT).
Only outcomes that were assessed in more than one of the included studies have been presented.
Outcome data presented as mean ± SD where this information was provided in the source article. Statistical data presented where this information was provided in the source article.
All the studies that presented data for the primary outcomes of up time (n = 11), walk time (n = 15), walk speed (n = 13), walk distance (n = 12), and steps (n = 14) at the beginning and end of robot-assisted gait training found an overall increase across the period. Overall, the included studies provided very low certainty of evidence for each outcome due to serious concerns related to study limitations, indirectness, and imprecision (Table 4).
Summary of certainty of evidence assessment for change in physical activity outcomes from beginning to end of RAGT.
GRADE: Grading of Recommendation, Assessment, Development and Evaluation; NRC: Non-randomised comparative; NRNC: Non-randomised non-comparative; RAGT: Robot-Assisted Gait Training. All GRADE assessments were conducted starting from a ‘low’ certainty of evidence due to the greater proportion of non-randomised trials and/or non-randomised participants involved for each outcome (Shao et al., 2023).
*Including one pilot study; †including two pilot studies; ‡see Supp 5 for details.
Several studies also reported data collected during the following functional walk tests: 2-min walk test (n = 2), 6-min walk test (n = 9), 10-metre walk test (n = 13), and the timed up-and-go (n = 7) test. All studies observed improvements in each of the tests they measured, with the exception of the 10-metre walk test in the study by Piira et al., 52 who observed no pre- to post-training change. Overall, the included studies provided very low certainty of evidence for all functional walk tests due to serious concerns related to study limitations, indirectness, and imprecision (Supp 4). The underlying justifications for all ratings according to the Grading of Recommendations, Assessment, Development and Evaluation framework can be found in the supplementary materials (Supp 5 and Supp 6).
Discussion
The purpose of this systematic review was to investigate the effect of robot-assisted gait training on physical activity outcomes for people with spinal cord injury. The main findings, based on 30 studies, showed it significantly improved physical activity outcomes over time. However, these findings were constrained by very low certainty evidence for the observed effect on up time, walk time, walk speed, walk distance, and steps. While the trends of the synthesised data were encouraging, research with more robust methodologies is urgently needed to improve confidence in the effectiveness of robot-assisted gait training on physical activity outcomes following spinal cord injury.
This was the first systematic review to focus primarily on physical activity outcomes during robot-assisted gait training sessions. All the included studies observed an improvement over time for all the synthesised physical activity outcomes, which is in line with the secondary findings of another systematic review that noted a trend of improvement over time in walk time, walk distance, and steps. 17 This general increase in physical activity parameters is likely to have implications beyond the primary purpose of improving gait: physical, mental, and social wellbeing have all been demonstrated to be positively affected by increasing physical activity for patients following spinal cord injury.68–72 This is particularly important when considering that function, health, and relationships have previously been identified as key priorities for individuals following spinal cord injury, 73 combined with the fact that a large proportion of people with spinal cord injury fail to meet established physical activity guidelines.74,75
Previous research has suggested optimal robot-assisted gait training protocols should involve 24–36 sessions across an 8–12 week period (i.e., 3 per week), with each involving 60 min of moderate-to-vigorous exercise to improve aerobic and functional capacity.74,76,77 The training protocols employed in the included studies of the present systematic review were largely in line with the aforementioned optimal session parameters; involving patients who underwent 60–90 min training sessions, 3–5 times per week, for a 6–12 week period. Such session parameters appear to be typical, since they were similar to with those reported in two other systematic reviews that investigated other aspects of robot-assisted gait training.78,79 This positive finding indicates that clinicians are largely aware of how best to prescribe training session frequencies within rehabilitation programs, though less is known about optimal intra-session variables such as device-related parameters. 77
Although 11 of the included studies employed comparative designs, five compared different variables between groups of users each undergoing robot-assisted gait training: exoskeleton-applied resistance vs assistance;39,67 treadmill gait training vs overground gait training; 50 Ekso device vs Lokomat device; 51 and long training sessions vs short training sessions. 53 The remaining six studies compared a group of patients using robot-assisted gait training against a ‘usual care’ group. However, none of them provided physical activity data for their respective control groups since differences in physical activity outcomes were not the primary comparison of interest.42,45,52,64 As a result, there is a clear lack of published research involving appropriate control groups to allow for a comprehensive investigation into the efficacy of robot-assisted gait training for improving physical activity outcomes following spinal cord injury. This, combined with the abovementioned issue of underpowered sample sizes, was a major factor in the eventual very low certainty of evidence ratings above.
Each outcome in the present review provided an insight into the effect of robot-assisted gait training on commonly measured spatiotemporal parameters of gait. However, several included studies also recorded additional kinetic and kinematic gait measures, finding improvements in some but not all of them (Supp 1). Since these additional parameters were each only measured in single studies, these data were not relevant for synthesis in the present review. However, they do suggest that the observed similarities in the direction of change for up time, walk time, walk distance, walk speed, and steps between studies does not imply a universal improvement in all aspects of gait over time. Therefore, while the results of this systematic review support the use of robot-assisted gait training as a means of improving physical activity outcomes, further research is required to fully understand its effect on gait as a whole and the implications this may have for people with spinal cord injury.
There are several limitations that should be considered when interpreting the findings of this systematic review. Firstly, meta-analysis was not possible due to study heterogeneity. Additionally, all eligible studies were included irrespective of demographic variables, clinical variables, robot-assisted gait training device, or the training protocol that was utilised. This introduced potential confounders that may have led to an over- or under-estimation of the effect for different outcomes.
All of the included studies had high risk of bias for at least one domain according to the relevant quality assessment score used. Several solely provided descriptive statistics while only two studies presented 95% confidence intervals for secondary outcomes, which was a major contributor to the overall very low certainty of evidence reported here.
19/30 reviewed studies were non-randomised and non-comparative while only eight studies involved a randomised design, which limits the ability for the true effect of robot-assisted gait training to be established relative to a comparable control. Furthermore, there were five pilot studies and six case reports while the sample sizes of the remaining studies were relatively small (range 5–99).
To conclude, robot-assisted gait training significantly improved physical activity measures, namely spatiotemporal gait parameters, over time during training for patients with spinal cord injury. The inclusion of robot-assisted gait training in rehabilitation for patients with spinal cord injury is therefore a useful adjunct that may have positive implications for the impact of greater independence and improved walking ability. However, there was very low certainty of evidence to support the synthesised outcomes. Future research is required to investigate the effects of potential confounders, and appropriately powered studies with high quality randomised designs would improve the overall certainty of evidence.
Clinical messages
Robot-assisted gait training improves physical activity and functional outcomes after spinal cord injury.
Such improvements have known positive physical, mental, and social effects for people with spinal cord injury.
Robot-assisted gait training programmes should involve 3–5 sessions/week for 6–12 weeks, each comprising 60–90 min of moderate-to-vigorous exercise.
Supplemental Material
sj-docx-1-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-1-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
Supplemental Material
sj-docx-2-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-2-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
Supplemental Material
sj-docx-3-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-3-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
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sj-docx-4-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-4-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
Supplemental Material
sj-docx-5-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-5-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
Supplemental Material
sj-docx-6-cre-10.1177_02692155251411864 - Supplemental material for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review
Supplemental material, sj-docx-6-cre-10.1177_02692155251411864 for The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review by James Belsey, Andrew Reid, Scott Hannah, Louise Johnson and James Faulkner in Clinical Rehabilitation
Footnotes
Ethical considerations
Since this was a systematic review of existing publications, ethical approval was not needed.
Author contributions
JB contributed to the design, data extraction, analysis, and interpretation as well as the preparation of the final manuscript. AR and JF contributed to the conception and design of the review, data extraction, analysis and final write-up. SH and LJ contributed to the conception of the review, data analysis, and final write-up. All authors approved the final manuscript for submission.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The University of Winchester provided funding for the study to pay for access to the Covidence online systematic review management software. Nobody at the university, other than the authors of this manuscript, had any influence on the design, conduct, analysis, interpretation, or write-up of this systematic review.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Availability of data,code,and other materials
A copy of the extracted data used within this review can be made available upon reasonable request by contacting the corresponding author.
Supplemental material
Supplemental material for this article is available online.
References
Supplementary Material
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