Treatment of early oligoarticular psoriatic arthritis with apremilast: primary outcomes at week 16 from the FOREMOST randomised controlled trial
Bibliographic record
Abstract
OBJECTIVES: Oligoarticular psoriatic arthritis (PsA) is frequent but rarely studied. The objective was to assess the efficacy of apremilast in early oligoarticular PsA. METHODS: FOREMOST (NCT03747939) was a phase 4 multicentre, randomised, double-blind, placebo-controlled trial. Patients had early (symptom duration ≤5 years) oligoarticular PsA (>1 but ≤4 swollen and >1 but ≤4 tender joints; 2-8 total active joints). Patients were randomised 2:1 to apremilast 30 mg two times per day or placebo for 24 weeks, with an early escape at week 16. The primary endpoint was the proportion of patients at week 16 who achieved minimal disease activity (MDA)-Joints (modification of MDA mandating ≤1 swollen joint and ≤1 tender joint) based on sentinel joints (those affected at baseline) with a combination of non-responder imputation and multiple imputations. Exploratory analysis assessed all joints. RESULTS: Of 308 patients randomised (apremilast: n=203; placebo: n=105), mean (SD) PsA duration was 9.9 (10.2) months, mean (SD) age was 50.9 (12.5) years and 39.9% of patients were using a conventional synthetic disease-modifying antirheumatic drug. MDA-Joints (sentinel joints (primary endpoint) and all joints) were achieved by significantly more patients with apremilast (33.9% and 21.3%) vs placebo (16.0% and 7.9%) at week 16 (p=0.0008 and nominal p=0.0028, respectively). Greater improvements in patient-reported outcomes, clinical disease activity and skin involvement were also seen with apremilast versus placebo. CONCLUSIONS: FOREMOST is the first randomised controlled trial designed for early oligoarticular PsA and showed apremilast improves clinical and patient-reported outcomes. This trial may inform the optimal management of PsA in these patients. TRIAL REGISTRATION NUMBER: NCT03747939.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".