Adalimumab Reduces Extraintestinal Manifestations in Patients with Crohn’s Disease: A Pooled Analysis of 11 Clinical Studies
Bibliographic record
Abstract
INTRODUCTION: Extraintestinal manifestations (EIMs) in patients with Crohn's disease (CD) are common and associated with additional morbidity. This study aimed to evaluate the effect of adalimumab therapy on EIM resolution and identify potential predictors of EIM resolution in adult and pediatric patients with moderate to severe CD. METHODS: EIM data were pooled from 11 induction, maintenance, and open-label extension studies of adalimumab. Resolution of EIMs was evaluated at approximately 6 months and 1 year. Median time to initial EIM resolution and first EIM recurrence (reflecting durable resolution) of any EIM and specific categories of EIMs (arthritis/arthralgia, ocular, cutaneous) were calculated. A Cox model was used to determine predictors of initial and durable EIM resolution. RESULTS: At baseline, 54% (1137/2094) of patients receiving adalimumab and 51% (297/586) receiving placebo had EIMs. EIM resolution occurred in a significantly greater proportion of adalimumab versus placebo patients at 6 months (54% vs 31%; P < .001) and 1 year (60% vs 42%; P = .008). Median time to initial resolution of any EIM, arthritis/arthralgia, and cutaneous EIMs was significantly shorter in patients receiving adalimumab versus placebo. Durable resolution of any EIM and arthritis/arthralgia was significantly longer for patients receiving adalimumab versus placebo. Clinically meaningful predictors of EIM resolution included adalimumab treatment, male sex, and moderate (versus severe) disease activity at baseline. CONCLUSION: Adalimumab is effective for achieving initial and durable resolution of any EIM and, in particular, arthritis/arthralgia in patients with moderate to severe CD. Predictors of EIM resolution included adalimumab treatment and moderate disease severity. FUNDING: AbbVie.
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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 | 0.020 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.017 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".