Randomized, double-blind, placebo-controlled trial of the oral interleukin-12/23 inhibitor apilimod mesylate for treatment of active Crohn's disease
Bibliographic record
Abstract
BACKGROUND: Interleukin-12 (IL-12) and interleukin-23 (IL-23) are inflammatory cytokines linked to the Th-1 and Th-17 phenotypes associated with Crohn's disease (CD). We investigated the activity and safety of apilimod mesylate (formerly STA-5326), an oral IL-12 and IL-23 inhibitor, in patients with active CD. METHODS: We performed a multicenter, Phase 2, randomized, double-blinded, placebo-controlled study to evaluate the efficacy of apilimod mesylate in treating 220 adult patients with moderate-to-severe CD (Crohn's Disease Activity Index [CDAI] score 220-450). Patients were stratified according to C-reactive protein (CRP) levels and corticosteroid use and were randomly assigned to receive placebo or apilimod mesylate 50 mg daily or 100 mg daily. The study was divided into an induction phase (43 days) and a maintenance phase (125 days). The primary analysis involved a comparison of the proportion of patients experiencing clinical response, defined as at least a 100-point decrease in CDAI score from baseline at day 29. Data on adverse events were also collected. RESULTS: In all, 220 of the planned 282 patients were enrolled when the Data Monitoring Committee determined that the drug was not efficacious as a treatment and closed enrollment. A clinical response was experienced by 18 patients (24.7%) in the 50-mg daily (QD) group (n = 73) and 19 patients (25.7%) in the 100 mg QD group (n = 74), as compared with 21 patients (28.8%) in the placebo group (n = 73) on day 29 (P = 0.71 for each comparison). No significant adverse safety signal was observed. CONCLUSIONS: Apilimod was well-tolerated but did not demonstrate efficacy over placebo in patients with active CD.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".