Response of osteoarthritis biomarkers after a rehabilitation program: study protocol
Bibliographic record
Abstract
<p class="abstract"><strong>Background:</strong> Knee osteoarthritis is a progressive degenerative joint disease and remains a leading cause of pain, physical impairment and decline in health-related quality of life in adults. Despite its incidence being amongst the highest in chronic diseases, effective biomarkers are not available to assist in its management. The main goal of this study is to identify mediators that serve as biomarkers and investigate if the levels of these biomarkers will be correlated to the efficacy of a rehabilitation program.</p><p class="abstract"><strong>Methods:</strong> This is a prospective cohort study with 65 participants. Patients with mild-to-moderate symptomatic knee osteoarthritis will be recruited. The Rehabilitation Program will consist of three session/week during eight weeks. Assessment about functional evaluation will be performed before and after treatment, using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and EuroQOL-5D (Euro quality of life - five dimension) scales, Visual Analog Scale (VAS), and physical function tests (time up and go, isometric strength testing and kinematic gait analysis). Serum levels of classical pro-inflammatory cytokines, hyaluronan and high mobility group box 1 protein (HMGB-1) will be evaluated. The primary outcome is the change in WOMAC scale from baseline to end. Statistical analyses will be used to determine correlation of physical improvement and serum biomarkers. Adverse events will be monitored throughout the study.</p><p class="abstract"><strong>Conclusions: </strong>This trial expect to study the correlation between the anti-inflammatory effects of rehabilitation program derived factors that may be involved in suppressing cytokine induction via suppressing HMGB-1.</p><p class="abstract"><strong>Trial registration:</strong> Clinicaltrials.gov - NCT02964624.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".