CONCERTO: A randomized, placebo-controlled trial of oral laquinimod in relapsing-remitting multiple sclerosis
Bibliographic record
Abstract
Background: Interventions targeting the adaptive immune response are needed in multiple sclerosis (MS). Objective: Evaluate laquinimod’s efficacy, safety, and tolerability in patients with relapsing-remitting multiple sclerosis (RRMS). Methods: CONCERTO was a randomized, double-blind, placebo-controlled, phase-3 study. RRMS patients were randomized 1:1:1 to receive once-daily oral laquinimod 0.6 or 1.2 mg or placebo for ⩽24 months ( n = 727, n = 732, and n = 740, respectively). Primary endpoint was time to 3-month confirmed disability progression (CDP). The laquinimod 1.2-mg dose arm was discontinued (1 January 2016) due to cardiovascular events at high doses. Safety was monitored throughout the study. Results: CONCERTO did not meet the primary endpoint of significant effect with laquinimod 0.6-mg versus placebo on 3-month CDP (hazard ratio: 0.94; 95% confidence interval: 0.67–1.31; p = 0.706). Secondary endpoint p values were nominal and non-inferential. Laquinimod 0.6 mg demonstrated 40% reduction in percent brain volume change from baseline to Month 15 versus placebo ( p < 0.0001). The other secondary endpoint, time to first relapse, and annualized relapse rate (an exploratory endpoint) were numerically lower (both, p = 0.0001). No unexpected safety findings were reported with laquinimod 0.6 mg. Conclusion: Laquinimod 0.6 mg demonstrated only nominally significant effects on clinical relapses and magnetic resonance imaging (MRI) outcomes and was generally well tolerated. Clinical trial registration number: ClinicalTrials.gov (NCT01707992).
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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 | 0.008 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".