The effect of adding trunk restraint to task-oriented training in improving function in stroke patients: A systematic review and meta-analysis

Therapeutic effect of adjuvant therapy added to constraint-induced movement therapy in patients with subacute to chronic stroke: a systematic review and meta-analysis

PURPOSE

This review investigated the effectiveness of adjuvant therapy combined with constraint-induced movement therapy (CIMT) in improving the paretic upper limb functionality in adults with stroke sequelae during the subacute to chronic rehabilitation phase.

MATERIALS AND METHODS

In this systematic review and meta-analysis of randomized controlled trials (RCT), electronic databases, including PubMed, Web of Science, CINAHL, and MEDLINE, were searched. We included RCTs that investigated the outcomes of adjuvant therapy (i.e. other therapies) added to CIMT compared with CIMT alone. Key trial findings were qualitatively synthesized and analyzed. This meta-analysis examined variables, such as mean scores and standard deviations, using the following outcome measures: Fugl-Meyer Assessment (FMA) upper limb items, Action Research Arm Test (ARAT), Amount of Use (AOU) of Motor Activity Log (MAL), and Quality of Movement (QOM) of MAL.

RESULTS

Eighteen eligible RCTs were included in the analysis. Adding CIMT to adjunctive therapy significantly improved FMA compared with CIMT alone (mean difference [MD] 4.02, 95% confidence interval [CI] 2.60-5.44; I2 = 85%; 15 studies; 330 participants). Similarly, the ARAT and MAL-AOU scores improved significantly.

CONCLUSIONS

CIMT combined with several adjunctive therapies effectively improved upper limb function.

Effects of Tai Chi Yunshou on upper-limb function and balance in stroke survivors: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

Physical rehabilitation plays an important role in the recovery of motor function after a stroke. This study aimed to evaluate the effects of Tai Chi Yunshou (TCY), a form of physical therapy, on upper-limb function and balance in stroke survivors.

METHODS

MEDLINE, Embase, CENTRAL and five Chinese databases were retrieved from inception to July 1, 2020 (updated on March 31, 2022). Randomized controlled trials of TCY versus no-treatment for stroke were included. The RoB-2 was used to evaluate the quality of included studies. Upper-limb motor impairment, balance, and activities of daily living (ADLs) were measured by Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE), Berg Balance Scale (BBS), and Barthel Index (BI), respectively. Data synthesis was performed using RevMan (v5.3), and expressed as mean difference (MD) with 95% confidence intervals (CI).

RESULTS

Seven studies with 529 participants were included. Compared with no-treatment, TCY improved FMA-UE (MD = 7.31, 95% CI: 5.86-8.77, minimal clinically important difference [MCID]: 9-10), BBS (MD = 4.68, 95% CI: 0.28-9.07, MCID: 4), and BI (MD = 4.12, 95% CI: 3.28-4.96, MCID: 1.85) in stroke survivors.

CONCLUSION

TCY may benefit balance and ADLs in rehabilitation after a stroke, but it may not improve upper-limb function clinically.

Let the force guide you: a performance-based adaptive algorithm for postural training using haptic feedback

Motor learning is an essential component of human behavior. Many different factors can influence the process of motor learning, such as the amount of practice and type of feedback. Changes in task difficulty during training can also considerably impact motor learning. Typical motor learning studies include a sequential variation of task difficulty, i.e., easy to challenging, irrespective of user performance. However, many studies have reported the importance of performance-based task difficulty variation for effective motor learning and skill transfer. A performance-based adaptive algorithm for task difficulty variation based on the challenge-point framework is proposed in this study. The algorithm is described for postural adaptation during simultaneous upper-limb training. Ten healthy participants (28 ± 2.44 years) were recruited to validate the algorithm. Participants adapted to a postural target of 20° in the anterior direction from the initial upright posture while performing a unimanual reaching task using a robotic device. Results suggest a significant decrease in postural error after training. The algorithm successfully adapted the task difficulty based on the performance of the user. The proposed algorithm could be modified for different motor skills and can be further evaluated for different applications in order to maximize the potential benefits of rehabilitation sessions.