Can visual aides influence rehabilitation and length of stay following knee replacement? A randomized controlled 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
Arthroplasty is increasingly performed within Australia, with a 2.7% rate increase of total knee arthroplasty (TKR) over the last year. With an increasing burden on the public health system and increasing waiting lists, all efforts are being made to decrease length of stay and improve the post operative rehabilitation process. There is currently insufficient evidence to make a conclusive statement about visual aids and improved goal attainment post TKR. The purpose of this study is to evaluate one such visual aid clinical photographs of patients knee range of motion (ROM) pre-and post-operatively and their effect on length of stay. Photographs of knee range of motion were obtained pre and post-operatively while the patient was anesthetized. In this study, a randomized, single blinded design allocated patients to either be shown or not shown their photographs on day 1 post operatively. Primary outcome measures were the number of days the patient remained in hospital. Secondary measures were Western Ontario and McMaster Universities Arthritis Index scores, Oxford Knee Scores, American Society of Anesthesiologists Score and knee ROM. Thirty-two patients (3 exclusions) were randomized to the photo group and 27 patients (4 exclusions) were randomized to the no photo group. The median length of stay between groups was not significantly different. Currently there is not enough evidence to conclude that visual aids effect length of stay or rehabilitation pathways. Further assessment with larger cohort groups is needed. Preoperative targeting and rehabilitation for patients with lower functional status may shorten post operative length of patient stay in our institution.
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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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