Infliximab therapy for moderately severe Crohn’s disease and ulcerative colitis: a retrospective comparison over 6 years
Bibliographic record
Abstract
BACKGROUND: Infliximab has shown benefit in Crohn's disease (CD) and ulcerative colitis (UC). OBJECTIVE: Evaluation of long-term outcome of therapy for both diseases. METHODS: We analyzed retrospectively patients treated at infusion centers from one institution. Demographic, laboratory parameters leading up to biologic therapy and the subsequent pattern of outcomes in either disease were established as a database. Initial failure, subsequent need to change therapy, or need to adjust therapy were evaluated. Kruskal-Wallis (nonparametric) tests to compare two groups and Kaplan-Meier survival curve analysis were used to compare outcomes. RESULTS: Over approximately 6 years, 71 CD and 26 UC patients received 999 and 215 infusions, respectively, for a median of 62 months. Of these, 17% for CD and 19% for UC patients were primary failures. Following the start of infliximab, 18% of CD and 11% of UC patients required stoppage and switching to another type of therapy. In either CD or UC patients, 54% or 62%, respectively, continued therapy without the need to change to other treatments. Few serious side effects were noted. No important statistically significant differences in treatment patterns or outcome were observed between the groups. DISCUSSION: Long-term treatment of both inflammatory bowel diseases reflects outcomes of clinical trials. CONCLUSIONS: This study emphasizes similarities between CD and UC and reports therapeutic success for an extended time.
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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 | 0.001 |
| 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".