Disease Modifying Drugs in Osteoarthritis: Structural & Symptomatic Outcomes
Bibliographic record
Abstract
Objective: This capstone project aimed to evaluate whether proposed disease-modifying osteoarthritis drugs (DMOADs), compared to placebo, can slow or halt structural joint changes and subsequently improve pain and function in adults with osteoarthritis (OA). Methods: A systematic review was conducted using PubMed, Google Scholar, and EBSCO, focusing on studies published since 2019 that evaluated proposed DMOADs (lorecivivint, sprifermin, chondroitin, and glucosamine) versus placebo in adults with clinical or radiographic knee OA. Inclusion required reporting on joint space width (JSW), pain, and/or function. Studies involving pediatric or animal subjects, prior joint surgery, malignancy, and non-placebo comparators, or lacking structural or symptomatic outcomes were excluded. Primary outcomes were JSW or cartilage thickness via X-ray or MRI; secondary outcomes included pain and function scores via Western Ontario Montreal and McMaster Universities Osteoarthritis Index (WOMAC) scores. Results: Sprifermin preserved or increased JSW and cartilage thickness but did not significantly improve pain or function, Lorecivivint demonstrated both structural and symptomatic benefits, though only in a small subgroup with unilateral knee OA. Chondroitin improved pain and function, while glucosamine had a more notable effect on joint structure. However, combined glucosamine-chondroitin therapy showed no benefit on either outcome. Conclusion: No single DMOAD evaluated consistently improved both joint structure and symptoms. These findings highlight the complexity of OA and the need for therapies that align structural modification with clinically meaningful symptom relief. Keywords: osteoarthritis, disease-modifying drugs, joint space narrowing, pain, WOMAC
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".