Diabetes that impacts on routine activities predicts slower recovery after total knee arthroplasty: an observational study
Bibliographic record
Abstract
QUESTION: In the 6 months after total knee arthroplasty (TKA), what is the pattern of pain resolution and functional recovery in people without diabetes, with diabetes that does not impact on routine activities, and with diabetes that does impact on routine activities? Is diabetes that impacts on routine activities an independent predictor of slower resolution of pain and functional recovery after TKA? DESIGN: Community-based prospective observational study. PARTICIPANTS: A consecutive cohort of 405 people undergoing primary TKA, of whom 60 (15%) had diabetes. PARTICIPANTS with diabetes were also asked preoperatively whether diabetes impacted on their routine activities. PARTICIPANTS were categorised into three groups: no diabetes (n=345), diabetes with no impact on activities (n=41), and diabetes that impacted activities (n=19). OUTCOME MEASURES: Pain and function were measured using the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index within the month before surgery and 1, 3 and 6 months after surgery. Demographic, medical and surgical factors were also measured, along with depression, social support and health-related quality of life. RESULTS: No baseline differences in pain and function were seen among the three groups (p > 0.05). Adjusting for age, gender and contralateral joint involvement across the 6 postoperative months, participants with diabetes that impacted on routine activities had pain scores that were 8.3 points higher (indicating greater pain) and function scores that were 5.4 points higher (indicating lower function) than participants without diabetes. PARTICIPANTS with diabetes that doesn't impact on routine activities had similar recovery to those without diabetes. CONCLUSION: People undergoing TKA who report preoperatively that diabetes impacts on their routine activities have less recovery over 6 months than those without diabetes or those with diabetes that does not impact on routine activities. Physiotherapists could institute closer monitoring within the hospital and community settings for people undergoing TKA who perceive that diabetes impacts on their routine activities. [Amusat N, Beaupre L, Jhangri GS, Pohar SL, Simpson S, Warren S, Jones CA (2014) Diabetes that impacts on routine activities predicts slower recovery after total knee arthroplasty: an observational study.Journal of Physiotherapy60: 217-223].
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".