Safety and Feasibility of a KineSpring Knee System for the Treatment of Osteoarthritis: A Case Series
Bibliographic record
Abstract
The treatment gap between conservative management and total knee arthroplasty may leave patients with moderate cases of knee osteoarthritis (OA) without an ideal treatment option. The KineSpring(®) Knee Implant System may be a viable treatment option to fill the treatment gap for patients with knee OA who are not willing or inappropriate candidates for total knee arthroplasty, yet do not demonstrate relief with conservative treatments. This current paper reports a series of patients who received the KineSpring System and were followed for five years. Twelve patients were included in the case series. All 12 patients were diagnosed with symptomatic OA of the medial compartment of the knee. Pain and functional problems associated with OA improved with treatment using the KineSpring System. Furthermore, these improvements were seen over the course of five years. The findings of this study show the KineSpring System as a promising intervention for early-onset OA and warrant further investigation regarding its effectiveness.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".