The review, registered prospectively on PROSPERO and conducted according to PRISMA 2020 guidelines, searched five major databases from inception to February 26, 2026, including PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, and the China National Knowledge Infrastructure. The team deliberately narrowed its focus to wearable lower-limb robotic exoskeletons—devices physically coupled to the patient’s legs—excluding the end-effector and platform-based robotic gait trainers that previous reviews had lumped together with wearable systems. This distinction matters because the two device families differ fundamentally in how they deliver assistance: wearable exoskeletons move with the patient, whether overground or on a treadmill, while platform systems fix the patient in place and move the limbs beneath them.

The fourteen included trials, published between 2014 and 2025, spanned a striking range of technology. They included the single-leg version of Cyberdyne’s Hybrid Assistive Limb tested in Japan, the rigid Ekso GT used in Canadian and Polish inpatient wards, the harness-free Korean EXOWALK delivered overground, and a bilateral soft exosuit—the Yrobot Relink—tested in subacute Chinese patients. Training environments ranged from treadmill-based sessions with body-weight support to free overground walking, and daily doses varied from twenty minutes to an hour across protocols lasting two to eight weeks. Most trials enrolled between eight and thirty participants per arm, a scale that immediately signals the statistical challenges ahead.

When the researchers pooled the data using random-effects models with restricted maximum likelihood estimation and the conservative Hartung–Knapp adjustment, three outcomes emerged as consistent winners. Walking independence, measured on the Functional Ambulation Category scale, improved by a mean difference of 0.39 points (95% confidence interval 0.15–0.63), meaning patients in the exoskeleton groups typically required less physical assistance to walk. Balance, measured on the Berg Balance Scale, improved by 1.66 points (95% CI 0.52–2.81). Lower-limb motor function, measured on the Fugl–Meyer Assessment of the Lower Extremity, improved by 2.40 points (95% CI 1.63–3.16). Notably, heterogeneity across studies was essentially zero for all three outcomes—an unusual finding in rehabilitation meta-analysis that suggests the underlying effects are remarkably stable despite the technological diversity of the devices.

The six-minute walk test told a more ambiguous story. The pooled estimate favored the exoskeleton groups by 19.83 meters (95% CI 2.21–37.45), a statistically significant but clinically modest gain in endurance. However, the 95% prediction interval—which estimates the range of true effects a future study might observe—stretched from −0.35 to 40.02 meters, crossing the line of no effect. In other words, while the average trial showed a benefit, an individual clinic adopting exoskeleton training could plausibly see no improvement at all in walking endurance. This distinction between confidence intervals and prediction intervals is central to the review’s cautious tone.

For walking speed on the ten-meter walk test, functional mobility on the Timed Up and Go test, mobility on the Rivermead Mobility Index, lower-limb strength on the Motricity Index, and activities of daily living on the Modified Barthel Index, no statistically significant between-group differences emerged. The Timed Up and Go analysis was particularly noisy, with heterogeneity exceeding 81% and a prediction interval spanning nearly 253 seconds—a reminder that composite tasks involving turning, sit-to-stand transitions, and environmental adaptation depend on capacities that repetitive robotic stepping may not directly train. The authors suggest that gains at the impairment level, such as improved selective motor control reflected in the Fugl–Meyer score, may not translate into real-world functional performance without additional task-specific practice and longer follow-up.

From a neurorehabilitation perspective, the pattern of results is biologically coherent. Exoskeleton-assisted training provides high-repetition, task-specific gait practice that may enhance sensorimotor input and support activity-dependent neuroplasticity—the same principle underlying constraint-induced movement therapy and treadmill locomotor training. Improvements in balance may reflect increased opportunities to practice paretic-limb loading and weight-shift control, addressing the asymmetric weight bearing and impaired postural control that limit dynamic stability after stroke. Walking speed, by contrast, depends heavily on forward propulsion and power generation, capacities that vary with device mechanics, assistance strategy, and the degree of active patient engagement—variables that the included trials reported inconsistently or not at all.

The certainty of evidence, assessed using the GRADE framework, was moderate for walking independence, balance, and lower-limb motor function, but low for walking speed, endurance, and strength, and very low for functional mobility and activities of daily living. Downgrading was driven primarily by risk of bias—most trials could not blind participants or therapists to the intervention, an inherent limitation of device-based rehabilitation—alongside imprecision from small sample sizes. For the Berg Balance Scale, the one outcome with enough studies for formal testing, contour-enhanced funnel plots and Egger’s regression found no evidence of small-study effects or publication bias, lending further credibility to that estimate.

Subgroup analyses comparing overground with treadmill-based training found no statistically significant differences for walking independence or balance, though the authors caution that these exploratory analyses were underpowered. More fundamentally, the review could not disentangle the effects of device architecture, body-weight support, assistance strategy, training dose, or comparator content, because reporting of these characteristics was too inconsistent across trials. The pooled estimates therefore represent average contrasts across heterogeneous intervention–comparator packages rather than effects attributable to robotic assistance itself, and they cannot support device-specific or patient-specific prescribing recommendations.

The authors call for larger, well-designed randomized controlled trials with standardized intervention reporting, stratified analyses by stroke stage and baseline ambulatory capacity, and longer follow-up to determine whether early gains persist or fade once training ends. Until such trials arrive, the message for clinicians and patients is measured but not dismissive: wearable exoskeletons appear to offer real, if modest, advantages in helping stroke survivors walk with less assistance, stand more steadily, and recover motor control in weakened limbs—but the technology is not yet a proven shortcut to independent community walking, and its benefits likely depend as much on how, when, and to whom it is delivered as on the robot itself.

Subject of Research: Effects of wearable lower-limb robotic exoskeleton-assisted gait training on walking, balance, and daily living after stroke

Article Title: Effects of wearable lower-limb robotic exoskeleton–assisted gait training on balance, walking, and activities of daily living after stroke: a systematic review and meta-analysis

Article References: Zhang, Z., Zhang, X., Mao, S., Cao, L., Wang, Z., Wu, J., & Zang, W. (2026). Effects of wearable lower-limb robotic exoskeleton–assisted gait training on balance, walking, and activities of daily living after stroke: a systematic review and meta-analysis. Frontiers in Neurology, 17, Article 1818981. https://doi.org/10.3389/fneur.2026.1818981

Image Credits: AI Generated

DOI: 10.3389/fneur.2026.1818981

Keywords: stroke rehabilitation, robotic exoskeleton, gait training, meta-analysis, balance, walking independence, neuroplasticity, Fugl-Meyer Assessment, Berg Balance Scale, randomized controlled trials, neurorehabilitation, wearable robotics

The study, conducted by Pınar Oba of Yozgat City Hospital and the Faculty of Medicine at Sivas Cumhuriyet University, together with Musa Polat of Sivas Cumhuriyet University, and published in BMC Geriatrics, set out to answer a deceptively simple question: does the ability to precisely control the lumbopelvic region, the junction between the lumbar spine and the pelvis, correlate with measured balance performance in older adults? Crucially, the researchers did not stop at a simple correlation. They also accounted for a battery of physical, psychological, and behavioral factors that could confound the relationship, including physical activity levels, fear of falling, anxiety, depression, and general health status.

The technical centerpiece of the investigation was the pressure biofeedback unit, or PBU, a simple but well-established clinical device consisting of an inflatable cushion connected to a pressure gauge. When placed under the lumbar spine, the PBU converts subtle movements of the lumbopelvic region into readable pressure changes, allowing an examiner to quantify how accurately a person can perform targeted trunk movements. In this study, 76 participants aged 65 and older were asked to perform three distinct motor-control tasks: the posterior pelvic tilt, in which the pelvis is rocked backward to flatten the lumbar curve; the abdominal drawing-in maneuver, a subtle contraction of the deep abdominal muscles associated with spinal stabilization; and the trunk extension maneuver, which requires controlled activation of the back extensor muscles.

The researchers then compared these motor-control scores against three widely used balance assessments: the Berg Balance Scale, a fourteen-item gold-standard measure of functional balance; the Functional Reach Test, which quantifies the forward limit of stability; and the Timed Up and Go test, a speed-based measure of mobility that is a staple of fall-risk screening. Using established cutoff values, participants were classified as being at either low or high risk on each measure. The results painted a striking picture: 53.9 percent of the cohort was classified as high risk by the Functional Reach Test cutoffs, 30.2 percent by the Timed Up and Go test, and 23.6 percent by the Berg Balance Scale.

When the researchers cross-tabulated motor-control performance against these risk categories, one task stood out with particular clarity. Performance on the trunk extension maneuver was significantly poorer in every high-risk group, regardless of which balance instrument defined the risk, with p-values ranging from 0.001 to less than 0.001. Posterior pelvic tilt performance was also reduced in the high-risk groups defined by the Timed Up and Go test and the Berg Balance Scale, with p-values between 0.03 and 0.002. In contrast, performance on the abdominal drawing-in maneuver, the task most often associated with so-called core stability training, showed no significant association with any of the balance measures at all.

This last finding may be the most provocative in the entire study. The abdominal drawing-in maneuver has occupied a central place in rehabilitation orthodoxy for decades, on the theory that retraining the deep abdominal muscles restores spinal stability and, by extension, balance. Yet in this cohort of older adults, the ability to perform the maneuver did not track with balance performance once other factors were considered. The trunk extension maneuver and the posterior pelvic tilt, by contrast, correlated significantly with all three balance measures, with p-values ranging from 0.004 to 0.015, and these associations held firm in multivariable regression models that adjusted for age-related confounders, with p-values from 0.01 to less than 0.001.

The psychological and behavioral dimensions of the study add an equally important layer. Participants in the high-risk groups scored lower on the International Physical Activity Questionnaire and on the Tinetti Fall Efficacy Scale, which measures confidence in performing daily activities without falling. Depression scores on the Hospital Anxiety and Depression Scale were elevated only in the high-risk group defined by the Timed Up and Go test, suggesting that mood may interact with mobility more directly than with balance measured in static conditions. In the regression analyses, physical activity emerged as the only independent predictor among these psychosocial variables, associated with Functional Reach Test scores with a standardized beta of 0.40 and a p-value below 0.001, a moderate effect size that underscores how strongly an active lifestyle reinforces the limits of stability.

From a biomechanical standpoint, the findings make intuitive sense. Postural control is fundamentally a multisegmental enterprise: the nervous system continuously coordinates ankle, knee, hip, and trunk strategies to keep the center of mass over the base of support. The trunk, as the central link between upper and lower extremities, contributes both sensory information and mechanical output to this process. The ability to perform a controlled trunk extension, which loads the paraspinal muscles eccentrically and concentrically while stabilizing the pelvis, may reflect the integrity of precisely the neuromuscular circuits that generate hip and trunk strategies when the balance system is challenged. A pelvic tilt task, similarly, demands isolated control of the lumbopelvic rhythm that underlies weight shifting during walking and reaching.

The study’s cross-sectional design imposes the usual caveats. Correlation cannot establish directionality: poor trunk control may contribute to poor balance, or the causal arrow may point the other way, with declining balance leading to disuse and deconditioning of the trunk musculature. The sample of 76 participants, though adequate for the exploratory regression models used, is modest, and the PBU, while validated in clinical settings, is a coarser instrument than laboratory-grade motion capture or electromyography. The authors also relied on self-report questionnaires for physical activity and psychological state, which are subject to recall and response biases. Still, the consistency of the trunk extension finding across all three independent balance measures, and its survival in adjusted models, lends the result a robustness that many single-measure studies lack.

The practical implications are tantalizing for clinicians and researchers alike. If larger longitudinal studies confirm these associations, pressure biofeedback assessment of lumbopelvic motor control could become a low-cost addition to fall-risk screening, performed in minutes with an inexpensive inflatable device in almost any clinic or community setting. More speculatively, targeted training of trunk extension control and pelvic tilt precision, rather than generic core-strengthening programs, might offer a more direct route to preserving balance in aging populations. For now, the study’s central message is clear enough: when it comes to staying upright in later life, the strength of the legs and the sharpness of the vestibular system are only part of the story. The trunk, long treated as a passive link between limbs, may deserve a far more active role in how we assess, and perhaps ultimately prevent, the falls that shadow old age.

Subject of Research: Lumbopelvic motor control and postural balance in older adults

Article Title: The association between task-specific lumbopelvic motor-control performance assessed using pressure biofeedback and postural control in older adults considering physical, psychological, and behavioral factors: a cross-sectional study

Article References: Oba, P., & Polat, M. (2026). The association between task-specific lumbopelvic motor-control performance assessed using pressure biofeedback and postural control in older adults considering physical, psychological, and behavioral factors: a cross-sectional study. BMC Geriatrics. https://doi.org/10.1186/s12877-026-08335-4

Image Credits: AI Generated

DOI: 10.1186/s12877-026-08335-4

Keywords: lumbopelvic motor control, pressure biofeedback, postural control, fall risk, older adults, balance assessment, Berg Balance Scale, Timed Up and Go test, trunk extension, physical activity, fear of falling, geriatrics