Effect of activity level after a posterior-stabilized TKA on the relative bone mineral density measured on standard radiographs in periprosthetic tibial bone
Bibliographic record
Abstract
Abstract Background: The aim of this study was to evaluate the effect of activity level after a posterior-stabilized total knee arthroplasty (TKA) on the relative bone mineral density (rBMD) measured on standard radiographs in periprosthetic tibial bone. Methods: A retrospective review identified 110 patients (110 knees，20 men/90 women) who underwent PS TKA with 5 years follow-up. Patients activity level was evaluated by University of California Los Angeles (UCLA) activity score, and the rBMD in periprosthetic tibial bone was measured on anteroposterior X-ray images. Clinical assessments included Western Ontario and McMaster Universities (WOMAC), Knee Society score (KSS) and visual analogue scale (VAS). Nonlinear regression analysis was used to assess the impact of activity levels on periprosthesis bone density.Results: During 5-year follow-up period, the bone density in the medial, lateral and distal areas decreased compared with that before surgery (p<0.0001). There was a U-shaped distribution between UCLA activity rating and rBMD loss, with the lowest rBMD loss when the UCLA activity score was between 6-8 at 1 and 3 years. The curve fitting of UCLA activity level and rBMD% showed there was a parabolic relationship between UCLA activity level and rBMD% at 1 and 3 years after surgery (P<0.001, P=0.001), while there was no significant relationship between UCLA activity level and rBMD% at 5 years after surgery (P=0.436).Conclusions: We found that physical activity had a significant effect on radiographic measurements of BMD at 1 and 3 years but not at 5 years. Moderate activity may be associated with less proximal tibial BMD loss after TKA, therefore it may be the most appropriate activity intensity for patients with TKA.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".