Evidence That In Vivo Wear Damage Alters Kinematics and Contact Stresses in a Total Knee Replacement
Bibliographic record
Abstract
Polyethylene wear after a total knee arthroplasty is inevitable. The effects of the wear particles on the surrounding soft tissue causing inflammatory responses and eventual aseptic loosening are well documented, but the biomechanical changes from polyethylene wear have been less understood. This study investigated how wear from a retrieved polyethylene insert from a total knee arthroplasty changed the kinematics and contact stresses. A cruciate-retaining total knee implant (Natural-Knee, Intermedics Orthopedics, Inc., Austin, Texas) was retrieved from a donor program. The polyethylene insert was then scanned and modeled. KneeSIM (LifeMOD/KneeSIM, San Clemente, California) was used to simulate one cycle of gait of three second duration (100% of cycle). A threefold increase in contact stress as well as resulting kinematic changes were seen when the model was used to compare the retrieved versus a modeled off-the-shelf new polyethylene insert. Total knee designs should take into account the wear patterns that result from years of use and how they may affect the biomechanics of the knee long term.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".