Systematic Review: Non-medical Switching of Infliximab to CT-P13 in Inflammatory Bowel Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND AIMS: Biosimilar approval, such as Inflectra™ (CT-P13) for treating ulcerative colitis (UC) and Crohn's disease (CD), has reduced direct drug costs. Though clinicians are comfortable with biosimilar use in treatment-naïve patients, there are concerns in some jurisdictions that there are insufficient data from well-controlled trials to support non-medical switching. A systematic review, along with a critical assessment of the study design, was conducted to assess the potential impact of switching stable CD/UC patients from infliximab to CT-P13. METHODS: A literature search using PubMed and abstracts/posters from 3 major gastroenterology conferences from 2014 to 2018 was completed. Two individual reviewers extracted data from each relevant report and compiled it into evidence tables to facilitate descriptive analyses. Key randomized trial and observational study designs were critically assessed to contextualize data relevance. RESULTS: A total of 49 reports (3 randomized controlled trials, 40 observational trials, and 1 case series) were included. Most studies revealed no efficacy, safety, or immunogenicity concerns with non-medical switch. Limitations of supporting data include a small number of randomized controlled trials; predominance of observational studies with varying outcome assessments and lack of appropriate controls; and scarcity of research on biosimilar switch long-term effects. CONCLUSIONS: The majority of studies suggested non-medical switch is safe. However, clinicians and regulatory bodies should be aware of differences and limitations in study designs when making inferences about the risks and benefits of switching stable IBD patients to biosimilars.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it