Force-plate analyses of balance following a balance exercise program during acute post-operative phase in individuals with total hip and knee arthroplasty: A randomized clinical trial
Bibliographic record
Abstract
OBJECTIVES: Typical rehabilitation programs following total hip arthroplasty and total knee arthroplasty include joint range of motion and muscle-strengthening exercises. Balance and balance exercises following total hip arthroplasty and total knee arthroplasty have not received much attention. The purpose of this study was to determine whether an intervention of balance exercises added to a typical rehabilitation program positively affects patients' balance. METHODS: A total of 63 patients were provided with outpatient physical therapy at their home. Patients were randomly assigned to either typical (n = 33) or balance (n = 30) exercise group. The typical group completed seven typical surgery-specific joint range of motion and muscle-strengthening exercises, while the balance group completed the typical exercises plus three balance exercises. After 5 weeks of administering the rehabilitation program, patients' balance was assessed on a force plate using 95% ellipse area of the center of pressure amplitude. RESULTS: Patients in the balance group demonstrated significant reduction in the 95% ellipse area for the anterior and posterior lean standing conditions (p < 0.01). CONCLUSION: Balance exercises added to the typical outpatient physical therapy program resulted in significantly greater improvements in balance for participants with total hip arthroplasty or total knee arthroplasty, compared to the typical exercise program alone. Physical therapists might consider the use of balance exercises to improve balance in individuals in the acute post-operative phase following total hip arthroplasty or total knee arthroplasty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".