Functional mobility on discharge day after total knee and hip replacement surgery
Bibliographic record
Abstract
Purpose: To examine functional mobility status on discharge day after total knee and hip replacement surgery in post-acute care hospital setting. Methods: Eighty patients following total knee and hip replacement surgery were assessed with the de Morton Mobility Index (DEMMI), the Timed-Up-and-Go (TUG) and Five Times Sit to Stand Test, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) measurements of mobility-related activity on discharge day. Demographic information comprised age, body mass index, gender, type of surgery,length of hospital stay. Since the normality of distribution of the data was not confirmed, nonparametric Mann-Whitney-U test was used for analysis. Results: Forty patients (mean age: 66.83±7.39 years) underwent total knee replacement (TKR) and 40 patients (mean age: 62.63±11.95 years) underwent total hip replacement (THR). No statistical difference was found in age, body mass index and length of hospital stay between patients (p>0.05). TKR patients had better results in mean WOMAC total score, WOMAC Physical Functioning Score and mean DEMMI total score compared to THR patients (p<0.05). TUG and Five Times Sit to Stand Test time results showed a trend of deterioration in THR patients than TKR patients. The WOMAC pain, stiffness and total scores were similar between TKR and THR patients. Discussion: Results of this study indicated that functional mobility status at discharge would be better in patients with TKR than THR. Functional mobility evaluation following lower-extremity replacement surgery before discharge should be included in acute clinical physiotherapy practice to guide to physiotherapists to design effective intervention strategies to improve mobility.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".