Effectiveness of mental simulation practices after total knee arthroplasty in patients with knee osteoarthritis: A systematic review and meta-analysis of randomized controlled trials.
Ting-Hsuan LeeChia-Hung LiuPei-Chi ChenTsan-Hon LiouReuben EscorpizoHung-Chou ChenPublished in: PloS one (2022)
Mental simulation practices, such as motor imagery, action observation, and guided imagery, have been an intervention of interest in neurological and musculoskeletal rehabilitation. Application of such practices to postoperative patients in orthopedics, particularly after total knee arthroplasty, has resulted in favorable physical function outcomes. In this systematic review and meta-analysis, we wish to determine the effectiveness of mental simulation practices with standard physical therapy compared to standard physical therapy alone in patients who underwent total knee arthroplasty in terms of postoperative pain, physical functions, and patient-reported outcome measures. We identified randomized controlled trials from inception to August 28, 2021, by using the PubMed, Cochrane Library, EMBASE, and Scopus databases. Data collection was completed on August 28, 2021. Finally, eight articles (249 patients) published between 2014 and 2020 were included. The meta-analysis revealed that mental simulation practices caused more favorable results in pain [standardized mean difference = -0.42, 95% confidence interval (CI) (-0.80 to -0.04), P = 0.03], range of motion [0.55, 95% CI (0.06-1.04), P = 0.03], maximal strength of quadriceps [1.21, 95% CI (0.31-2.12), P = 0.009], and 36-Item Short-Form Survey [0.53, 95% CI (0.14-0.92), P = 0.007]. Our data suggest that mental simulation practices may be considered adjunctive to standard physiotherapy after total knee arthroplasty in patients with knee osteoarthritis.
Keyphrases
- knee osteoarthritis
- end stage renal disease
- primary care
- healthcare
- randomized controlled trial
- systematic review
- chronic kidney disease
- ejection fraction
- mental health
- newly diagnosed
- total knee arthroplasty
- peritoneal dialysis
- pain management
- prognostic factors
- electronic health record
- physical activity
- big data
- chronic pain
- metabolic syndrome
- type diabetes
- machine learning
- cross sectional
- brain injury
- spinal cord
- deep learning
- skeletal muscle
- study protocol
- adipose tissue
- blood pressure
- patient reported outcomes
- insulin resistance
- high resolution
- subarachnoid hemorrhage
- meta analyses
- blood brain barrier
- high speed
- mass spectrometry