Patient preferences for adalimumab in inflammatory bowel disease: a nationwide study from the GETAID
Bibliographic record
Abstract
Background: Several adalimumab preparations are now available for patients with inflammatory bowel disease (IBD). Comparative satisfaction and tolerability are unknown. Objectives: This study investigated IBD patient satisfaction with approved adalimumab biosimilars and their originator. Design: In this cross-sectional study, we included 941 consecutive adalimumab-treated patients with IBD across 45 centres affiliated with the Groupe d’Etude Therapeutique des Affections Inflammatoires du tube Digestif who completed a satisfaction questionnaire comprising four items each rated by a 10-point scale. Methods: The differences in responses were performed using a one-way analysis of variance followed by Tukey’s honest significant difference test. Results: The most commonly used drugs at inclusion were Humira ® (436/941, 46.3%), Amgevita ® (177/941, 18.8%) and Hulio ® (105/941, 11.2%). The mean overall satisfaction rate with adalimumab was 8.5 (standard deviation 1.8). Overall satisfaction was significantly higher in patients treated with Humira (8.6 (1.5)), Hulio (8.6 (1.8)) or Amgevita (8.5 (1.4)) ( p < 0.05). Satisfaction with the subcutaneous injection form was higher for patients treated with Yuflyma ® (9.0 (1.4)), Humira (8.9 (1.3)) and Hulio (8.9 (1.7)) ( p < 0.05). A total of 299 patients (31.8%) described injection site reactions. In all, 223 patients (23.7%) reported being previously treated with another adalimumab of which (32/223, 14.3%) discontinued treatment due to side effects. Conclusion: In this real-world setting, patients with IBD had a high level of satisfaction with adalimumab treatment, with some differences in terms of overall satisfaction and satisfaction with the injection device.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".