The relationship of vibratory perception to dynamic joint loading, radiographic severity, and pain in knee osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: Patients with knee osteoarthritis (OA) have been shown to have somatosensory deficits of the lower extremity. This study was designed to assess the association of these deficits with dynamic joint loading and their relationship to the structural and symptomatic severity of knee OA. METHODS: Subjects with symptomatic knee OA underwent evaluation of the vibratory perception threshold (VPT) using a biothesiometer at 5 sites at the lower extremity. Dynamic joint loading was assessed through gait analyses. Knee pain was evaluated using a visual analog scale score for pain based on the Western Ontario and McMaster Universities OA Index. Radiographic severity of knee OA was assessed using the Kellgren/Lawrence (K/L) grading scale on radiographs obtained with the knee in a standing position. RESULTS: Dynamic knee joint loading was directly associated with the VPT at the metatarsophalangeal (MTP) joint (Spearman's rho=0.384, P=0.033), indicating that the worse the vibratory sense, the higher the knee load during gait. The K/L severity grade was directly associated with the VPT at the MTP joint and lateral femoral condyle, after adjustment for age, sex, body mass index, and knee pain. After adjustment for confounders, there were no significant associations observed between the VPT and pain at any of the sites tested. CONCLUSION: These findings demonstrate an association between greater somatosensory deficits and higher dynamic loads in OA. They also demonstrate structural consequences associated with somatosensory deficits in OA, since the extent of sensory loss directly correlated with the radiographic severity of knee OA. However, there was no relationship observed between vibratory sense and symptomatic knee OA pain.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".