Long-term effectiveness and safety of ustekinumab in Crohn’s disease: a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: Real-world data showed that ustekinumab is an effective treatment for Crohn's disease for up to 52 weeks. Yet, long-term effectiveness and safety outcomes beyond 52 weeks are limited. This study aimed to evaluate the corticosteroid-free clinical remission for up to 104 weeks. Secondary aims were focused on biochemical disease, dosing adjustments and safety outcomes. METHODS: This multicentre prospective cohort study enrolled Crohn's disease patients who started ustekinumab between May 2016 and September 2019. Participants had scheduled outpatient visits at week 0, 13, 26, 52 and 104. Data on clinical disease [Harvey Bradshaw Index (HBI) = 4 points = remission], biochemical disease (faecal calprotectin = 200 µg/g or C-reactive protein = 10 mg/l = remission), dose adjustments and adverse drug reactions (ADRs) were recorded. RESULTS: We included 101 Crohn's disease patients. In all patients, the proportion of patients in corticosteroid-free clinical remission was 35 and 36% at week 52 and 104. Of patients achieving corticosteroid-free remission at week 52, more than half maintained corticosteroid-free remission throughout week 104. Biochemical remission rates were 25 and 30% at week 52 and 104, respectively. In the first year of treatment, 33% required their first dose escalation, and 15% in the second year. Overall, 7% of patients discontinued ustekinumab due to ADRs. Ustekinumab persistency rates were 68% at week 52 and 59% at week 104. CONCLUSION: Ustekinumab is an effective and well-tolerated treatment for Crohn's disease. More than half of all patients continued ustekinumab treatment after 104 weeks whereas one-third achieved corticosteroid-free remission.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".