Do Pre-operative Functional Measures Predict Post-operative Function In Adults Undergoing TKA?
Bibliographic record
Abstract
Background/Purpose: "Osteoarthritis (OA) of the hips and knees is estimated to be the fourth leading cause of functional disability world-wide,"(1) Total knee arthroplasty (TKA) is the leading surgery to treat chronic knee pain secondary to OA, and "is the most commonly performed musculoskeletal procedure in the United States."(1, 3) The purpose of this case study was to identify which outcome measures can best predict postoperative function following a TKA. The PICO question asked: In adults with OA, who undergo TKA, do better preoperative functional outcomes predict better functional outcomes postoperatively at 6 weeks, compared to those who did not perform as well? Case Description: Mr. L, a 77-year-old-male who was admitted to the hospital for a left TKA to address significant left knee OA. He was seen in the hospital for three sessions of acute physical therapy before being discharged home with a referral to outpatient physical therapy. Upon his discharge Mr. L had left knee range of motion (ROM) of 4-91 degrees and six weeks post TKA his range improved to 2 - 122 degrees. Outcomes: Included were ROM, Timed Up and Go (TUG), Six Minute Walk Test (6MWT), and Western Ontario and McMaster Universities Arthritis Index (WOMAC). Discussion: Although most of the articles analyzed found that preoperative functional outcome measures predict how well a patient may do following a TKA, more research is necessary to fully understand the best measures to use and if they can predict the full potential of recovery. Despite the lack of significant prediction rules, the PICO question has been answered. In adults with OA, who underwent TKA, better preoperative performances on the TUG, 6MWT, ROM, and WOMAC could predict better functional outcomes postoperatively. What makes this information even more significant to physical therapists, especially those in an acute-care setting is that preoperative and acute functional performance measures can be included when assessing patient needs for discharge and can allow better patient education and expectation management for an overall more successful rehabilitation experience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".