Vedolizumab induction therapy for inflammatory bowel disease in clinical practice – a nationwide consecutive German cohort study
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: Vedolizumab (VDZ) is a humanised monoclonal IgG1 antibody targeting α4 β7 integrin. AIM: To investigate the real-world efficacy of vedolizumab for the treatment of Crohn's disease (CD) and ulcerative colitis (UC). METHODS: A consecutive cohort of 212 adult IBD patients with active disease (HBI >7/partial Mayo >4) newly receiving VDZ was prospectively recruited from 7 academic and 17 community centres. The primary endpoint was clinical remission (CRM) (CD HBI ≤4, UC pMayo ≤1) in week 14. Secondary endpoints included steroid-free remission (SFCRM), clinical response (CRS) (HBI/pMayo score drop ≥3), vedolizumab impact on CRP, calprotectin and haemoglobin. RESULTS: Data of 97 CD (71.1% female, HBI 11) and 115 UC (42.6% female, pMayo 6) patients were analysed. Only 5.2% CD and 24.3% UC were anti-TNFα naïve. Most had extensive mucosal involvement (Montreal L3 69.1%/E3 53.9%). At week 14, 23.7% vs. 23.5% of CD vs. UC patients achieved CRM, 19.6% vs. 19.1% SFCRM and 60.8% vs. 57.4% CRS, respectively (all based on NRI). Week 14 CRM in CD was significantly associated with no history of extraintestinal manifestations (P = 0.019), no prior adalimumab use (P = 0.011), no hospitalisation in the past 12 months (P = 0.015) and low HBI score (P = 0.02) and in UC with active or previous smoking (P = 0.044/0.028) and no anti-TNFα (P = 0.023) use. Low HBI (P = 0.019) and no hospitalisation in the past 12 months (P = 0.01) predict CD CRM. The three most common AE were joint pain, acne and nasopharyngitis. CONCLUSION: Vedolizumab is effective in routine use.
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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 | 0.000 |
| 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 it