Physical performance tests, self-reported outcomes, and accidental falls before and after total knee arthroplasty: An exploratory study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This longitudinal, observational study explored the relationship between physical performance tests, self-reported outcomes, and accidental falling, before and after total knee arthroplasty (TKA). Thirty-seven patients were randomly selected from a larger study of falling before and after surgery conducted at a UK National Health Service Orthopaedic Unit. Physical performance tests were the Berg Balance Score (BBS), Timed Up and Go (TUG), and Hand Grip Strength (HGS). Self-reported outcomes incorporated the Western Ontario and McMaster's Osteoarthritis Index (WOMAC), Activities Balance Confidence Scale (ABC-UK), Geriatric Depression Scale (GDS), and accidental falls. Paired pre- and postoperative data were available on 22 patients. A total of 22.7% patients fell before and after TKA. Postoperative improvement in BBS and TUG was found in 41% and 50% of patients, respectively, HGS did not change. BBS showed a consistent moderate-to-strong association with other physical tests both before and after surgery; TUG (rs -0.76; rs -0.90), maximal HGS (r 0.49; r 0.48), and self-report measures; ABC-UK (r 0.52; r 0.74), WOMAC stiffness (r -0.53; r -0.48), and WOMAC function (r -0.56; r -0.45). Although self-report questionnaires are an efficient, cost-effective approach to outcome assessment in TKA, there is a growing case for inclusion of physical performance tests. The Berg Balance Score may be a useful addition to outcome assessment in patients with TKA.
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.
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 | 0.001 | 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 | 0.003 |
| 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 it