Association of Low-Dose Colchicine With Incidence of Knee and Hip Replacements
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis is a major contributor to pain and disability worldwide. Given that inflammation plays an important role in the development of osteoarthritis, anti-inflammatory drugs may slow disease progression. OBJECTIVE: To examine whether colchicine, 0.5 mg daily, reduces incident total knee replacements (TKRs) and total hip replacements (THRs). DESIGN: Exploratory analysis of the LoDoCo2 (Low-Dose Colchicine 2) randomized, controlled, double-blind trial. (Australian New Zealand Clinical Trials Registry: ACTRN12614000093684). SETTING: 43 centers in Australia and the Netherlands. PATIENTS: 5522 patients with chronic coronary artery disease. INTERVENTION: Colchicine, 0.5 mg, or placebo once daily. MEASUREMENTS: The primary outcome was time to first TKR or THR since randomization. All analyses were performed on an intention-to-treat basis. RESULTS: A total of 2762 patients received colchicine and 2760 received placebo during a median follow-up of 28.6 months. During the trial, TKR or THR was performed in 68 patients (2.5%) in the colchicine group and 97 (3.5%) in the placebo group (incidence rate, 0.90 vs. 1.30 per 100 person-years; incidence rate difference, -0.40 [95% CI, -0.74 to -0.06] per 100 person-years; hazard ratio, 0.69 [CI, 0.51 to 0.95]). In sensitivity analyses, similar results were obtained when patients with gout at baseline were excluded and when joint replacements that occurred in the first 3 and 6 months of follow-up were omitted. LIMITATION: LoDoCo2 was not designed to investigate the effect of colchicine in osteoarthritis of the knee or hip and did not collect information specifically on osteoarthritis. CONCLUSION: In this exploratory analysis of the LoDoCo2 trial, use of colchicine, 0.5 mg daily, was associated with a lower incidence of TKR and THR. Further investigation of colchicine therapy to slow disease progression in osteoarthritis is warranted. PRIMARY FUNDING SOURCE: None.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".