A single‐centre analysis of a biosimilar switching programme for adalimumab in inflammatory bowel disease
Bibliographic record
Abstract
AIMS: Amgevita is a licensed biosimilar to adalimumab, having demonstrated high pharmacokinetic and clinical similarity to Humira. Switching to a lower-cost medicine may elicit a nocebo effect, whereby expectations of poorer efficacy impact outcomes despite pharmacological similarity. This prospective cohort study examined clinical and economic outcomes and associated psychosocial variables in a group of patients undergoing a nonmedical switch to biosimilar adalimumab. METHODS: Patients with inflammatory bowel disease (IBD) were followed before and after switching from Humira to Amgevita. Objective disease activity was assessed pre- and post-switch using the Harvey-Bradshaw Index (Crohn's disease) or partial Mayo score (ulcerative colitis), faecal calprotectin and C-reactive protein. Subjective symptom burden was measured using the IBD Control Questionnaire (IBDCQ). Pre-switch, health anxiety was measured using the Health Anxiety Index (HAI). RESULTS: In total, 64 patients aged 18-67 were enrolled. IBDCQ scores marginally improved post-switch (13.33 vs, 12.49, P = .043), with no significant changes in objective disease activity scores, faecal calprotectin or C-reactive protein. Sixteen patients reported 17 new adverse events within 4 weeks. Logistic regression revealed a significant relationship between HAI scores and adverse events (P = .0079); each unit increase in HAI score increased the odds of reporting an adverse event by 21%. Drug cost savings for the 64 patients over 8 weeks totalled €143 958. CONCLUSION: Switching to biosimilar adalimumab did not affect disease control or quality of life. 25% of patients developed new side effects, particularly those with high levels of health anxiety. Significant cost savings were achieved.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".