638 Clinical Effectiveness of First-Line Anti-TNF Therapies and Second-Line Anti-TNF Therapy Post-Vedolizumab Discontinuation in Patients With Ulcerative Colitis or Crohn's Disease
Bibliographic record
Abstract
INTRODUCTION: Real-world data is needed to understand and compare the clinical effectiveness of second-line (2L) anti-tumour necrosis factors (anti-TNF) treatment (Tx) post first-line (1L; biologic-naive) vedolizumab (VDZ) and 1L anti-TNF use in patients (pts) with ulcerative colitis (UC) or Crohn's disease (CD). METHODS: This was a real-world, multi-country, multi-centre retrospective study in UC and CD pts (≥18 years old) treated with 1L anti-TNF or 2L anti-TNF after discontinuation of 1L VDZ for any reason (received May 2014-March 2018). Pts were from sites in Canada, Greece and the United States. Anti-TNF therapies included adalimumab, infliximab, golimumab and certolizumab pegol. The index date was defined as date of 1L Tx initiation. Clinical effectiveness data were collected from 1L or 2L Tx initiation to earliest of death, chart abstraction date. Cumulative rates of Tx persistence, clinical response and clinical remission were estimated using the Kaplan-Meier method for UC and CD (separately and combined) over 6 months. Clinical response and remission were assessed using pre-defined hierarchical algorithms of standard disease measures reported in the medical records. P-values were generated using the log-rank test. RESULTS: This analysis included 579 anti-TNF patients (1L: 497 [UC: 224; CD: 273]; 2L: 82 [UC: 58; CD: 24]) from 36 sites. Proportions of patients in each cohort were: adalimumab (1L: 41.4%; 2L: 19.5%), infliximab (1L: 52.7%; 2L: 79.3%), golimumab (1L: 4.8%; 2L: 1.2%) and certolizumab pegol (1L: 0.8%; 2L: 0.0%). Mean (SD) age at index date: 1L, 39.6 (15.2); 2L, 49.4 (18.6) years, male: 1L, 49.9%; 2L, 61.0%, median (range: min-max) disease duration: 1L, 2.0 (<0.1–49.0); 2L, 3.7 (0.1–54.0) years. At 6 months, cumulative rates of Tx persistence (1L: 83.9%; 2L: 83.6%), clinical response (1L: 49.5%; 2L: 65.6%) and clinical remission (1L: 29.5%; 2L: 31.4%), were similar between 1L and 2L patients (Table 1). Results were similar when data were stratified by UC and CD (Table 1), albeit sample sizes were small. CONCLUSION: Cumulative rates of Tx persistence, clinical response and clinical remission were comparable between 1L anti-TNF patients and those who switched to a 2L anti-TNF following the discontinuation of 1L VDZ. Results suggest that 1L VDZ may not impact the effectiveness of subsequent anti-TNF Tx in real-world clinical practice. As 2L sample size was limited, these hypothesis-generating data warrant further study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".