Bibliographic record
Abstract
HISTORY: A 66-yr-old women 12 months post- left knee TKA. Chief complaint includes persistent left knee pain to the antero-lateral aspect of the knee joint and lateral aspect of the patella. Pain and limitations reported in both daily living and recreational activities. Patient needs a cane for prolonged walking and hiking and requires bilateral handrail assist to perform stairs. Patient is highly motivated and adherent to physical therapy treatment plan but has reached a therapeutic plateau without any further progress. PHYSICAL EXAMINATION: At orthopedic physical exam, left knee presents full ROM, no instability and negative J-sign. Main findings include persistent quadriceps and hamstrings weakness, Iliotibial band retraction, poor hip stabilization and poor proprioception. DIFFERENTIAL DIAGNOSIS: 1. Patellar maltracking 2. Ilio-tibial band syndrome 3. Chronic synovitis 4. Prosthetic loosening 5. Quadriceps tendonitis TEST AND RESULTS: Left knee radiographs: • Normal lower limb, patellar and prosthetic alignment • No sign of prosthetic loosening Dynamic echography: • Mild articular swelling • Signs of chronic synovitis • Signs of antero-lateral soft-tissue restriction at the PF compartment possibly linked with scar tissue Knee Kinesiography (dynamic 3D functional assessment): • Neutral frontal alignment maintained dynamically • Excessive external tibial rotation during swing to heel strike phase suggesting altered patellar tracking • Limited flexion excursion (absorption) during loading phase known to increase PF joint loads FINAL WORKING DIAGNOSIS: 1. Dynamic patellar maltracking 2. Chronic synovitis TREATMENT AND OUTCOMES: 1. Home based biomechanical corrective and neuromuscular focused exercise program aiming to change push-off/swing pattern addressing external tibial rotation movement 2. Education to manage chronic pain and inflammation 3. Prescription of topical anti-inflammatory medication, twice daily. At 4-month follow-up, Knee Kinesiography retest showed restored optimal push-off pattern without the presence of excessive external tibial rotation. Patient reports walking 2 hrs /day without pain and inflammation, has resumed short hikes, climbs stairs without handrail assist (descent with single handrail assist), is able to play doubles tennis with limited effusion.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.008 |
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".