Benefits of Biosimilars in the Management of Patients with Inflammatory Bowel Disease: An International Survey
Bibliographic record
Abstract
Background/Objectives: The development of biosimilar drugs has revolutionized the management of patients with inflammatory bowel diseases (IBD), significantly reducing healthcare costs. However, the impact of biosimilar availability on patient care is unknown. We conducted a survey to investigate the benefits of using biosimilars in patients with IBD. Methods: Physicians involved in the IBD care were invited to participate in an anonymous online survey. The questionnaire consisted of 42 questions addressing availability, cost, recommendations, and positioning regarding the use of biosimilars. Results: A total of 233 physicians (88.4% gastroenterologists) from 63 countries worldwide participated in the survey. Most respondents had >10 years of practice (202/233, 85.9%). Biosimilars were available in almost all cases (221, 94.8%), and over two-thirds of respondents had more than one biosimilar of adalimumab or infliximab on hospital formulary. In most cases, adalimumab and infliximab biosimilars had a reduced cost of at least 30% compared to the originators. The savings resulting from the use of biosimilars allowed physicians to improve patient care (3/233, 1.3%) or to improve research (2/233, 0.8%) in only a few cases. Interestingly, for about 50% of respondents, the cost of biologics was a limitation for patient access to therapy. For the majority of participants, the availability of biosimilars did not influence treatment decisions in Crohn’s disease (70/165, 42.4%) and ulcerative colitis (83/165, 50.3%). Conclusions: The reduced cost of biosimilars compared to reference products is the main driver of choice in IBD. The impact of biosimilars of ustekinumab and vedolizumab in improving access to therapies and changing the treatment algorithm remains to be defined.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".