Fontolizumab in moderate to severe Crohn's disease: a phase 2, randomized, double-blind, placebo-controlled, multiple-dose study
Bibliographic record
Abstract
BACKGROUND: The safety and efficacy of fontolizumab, a humanized anti-interferon gamma antibody, was investigated in patients with Crohn's disease (CD). Elevated gut mucosal levels of interferon gamma, a key cytokine involved in the inflammatory process of CD, are associated with disease symptoms. METHODS: A total of 201 patients with Crohn's Disease Activity Index (CDAI) scores between 250 and 450 were randomized to receive an initial intravenous dose of 1.0 or 4.0 mg/kg fontolizumab or placebo, followed by up to 3 subcutaneous doses of 0.1 or 1.0 mg/kg fontolizumab or placebo every 4 weeks. Clinical response at day 29, the primary efficacy endpoint, was defined as a decrease in the CDAI of at least 100 points from baseline levels. RESULTS: Of 201 patients, 135 (67%) completed the study. Day 29 response rates were similar in all treatment groups (31%-38%). At subsequent timepoints a significantly greater proportion of patients in the 1.0 mg/kg intravenous / 1.0 mg/kg subcutaneous fontolizumab group had clinical response and significantly greater improvement in the CDAI score compared with patients who received placebo. All fontolizumab groups had significant improvement in C-reactive protein levels. The overall frequency of adverse events was similar in all groups (58%-75%); most events were related to exacerbation of CD. There was a low frequency (5.2%) of neutralizing antibodies to fontolizumab. CONCLUSIONS: Although a strong clinical response to fontolizumab was not observed, significant decreases in C-reactive protein levels suggest a biological effect. Fontolizumab was well tolerated, and further studies to assess its efficacy are warranted.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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".