Proportion of inflammatory bowel diseases patients with suboptimal disease control in daily clinical practice—Real‐world evidence from the inflammatory bowel diseases‐podcast study
Bibliographic record
Abstract
BACKGROUND: Crohn's disease and ulcerative colitis (UC) are inflammatory bowel diseases (IBD) characterized by a progressive nature of the disease resulting in subsequent intestinal damage, limited efficacy of current treatments and suboptimal disease management and a significant burden for patients. OBJECTIVES: The IBD-PODCAST study aims to estimate the proportion of Crohn's disease and UC patients with suboptimal disease control (SDC) in a real-world setting. METHODS: A non-interventional and cross-sectional study was conducted across 103 sites in 10 countries (Austria, Belgium, Canada, Germany, Greece, Italy, Portugal, Spain, Turkey, and UK). Criteria for SDC were based on STRIDE-II criteria and adapted by an expert panel. RESULTS: 2185 patients (Crohn's disease: n = 1,108, UC: n = 1077) with a mean (SD) age of 44.0 (14.8) years and mean (SD) disease duration of 12.4 (9.2) years were included (52.2% male). Ileal involvement was present in 39.1% of Crohn's disease patients, 35.3% of UC patients had extensive colitis. 77.3% of Crohn's disease and 65.3% of UC patients were on targeted immunomodulators and, according to STRIDE-II-based treatment phases, 85.6% of Crohn's disease and 85.4% of UC patients were assigned to the long-term treatment phase. SDC was detected in 52.2% of Crohn's disease and 44.3% of UC patients predominantly due to impaired quality of life (QoL), clinically significant extraintestinal manifestations, steroid overuse, signs of active inflammation in UC and Crohn's disease, and active fistulas in Crohn's disease. More than one criterion was seen in 37% of patients with SDC. Opportunities for on-label treatment optimization were observed in 49% of Crohn's disease and 61% of UC patients on advanced therapy. CONCLUSION: The high percentage of SDC in this global, real-world cohort suggests a large disease burden and high unmet medical need in IBD patients. Future analysis should focus on monitoring and responding to SDC in this cohort and on patients' QoL.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".