Adalimumab sustains steroid‐free remission after 3 years of therapy for Crohn’s disease
Bibliographic record
Abstract
BACKGROUND: Treatments that achieve sustainable steroid-free clinical remission in Crohn's disease are needed; however, long-term steroid-sparing efficacy data are limited. AIM: To evaluate steroid-sparing efficacy and the impact of steroid discontinuation on adverse events during treatment of Crohn's disease with adalimumab in the phase III randomised, double-blind 1-year CHARM trial and for an additional 2 years in its open-label extension ADHERE. METHODS: Steroid-free remission and response and steroid-sparing (≥50% steroid dose reduction) remission rates were evaluated over 3 years in patients who were taking corticosteroids at CHARM baseline. RESULTS: Of 778 patients randomised in CHARM (including those who did not achieve clinical response to open-label induction therapy), 313 patients (40%) were on corticosteroids at baseline. In the 206 patients randomised to adalimumab, rates of steroid-free remission at 1 year and 3 years were 26% and 23% respectively; corresponding rates were 29% and 25% for steroid-sparing remission and 32% and 28% for steroid-free response. Although the incidence of serious infections with adalimumab treatment during CHARM was higher in patients taking steroids at baseline than those who were not, the rates of overall adverse events, serious infections and opportunistic infections were lower in patients who were able to discontinue corticosteroids than those who remained on steroids. CONCLUSION: Adalimumab therapy resulted in modest but clinically meaningful rates of steroid-free remission, sustained over 3 years of treatment, in a heavily pretreated population of patients with Crohn's disease receiving steroids at the start of therapy (http://www.clinicaltrials.gov number: NCT00077779).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".