US Practice Patterns and Impact of Monitoring for Mucosal Inflammation After Biologic Initiation in Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: We assessed practice patterns for monitoring mucosal inflammation after biologic initiation and the association between monitoring approaches and development of disease-related complications for Crohn's disease (CD) and ulcerative colitis (UC). METHODS: This study used a Truven Health MarketScan (2007-2016) query for CD and UC patients initiating biologic therapy. Cumulative 24-month disease-related complications (corticosteroids, change of biologic, hospitalization, surgery) in patients undergoing proactive disease monitoring with lower endoscopy, fecal calprotectin, or cross-sectional radiographic enterography (computed tomography enterography or magnetic resonance enterography) within 6 months of biologic initiation vs no early monitoring after biologic initiation were compared. Cox proportional hazard ratios (HRs with 95% confidence intervals [CIs]) adjusted for propensity score were used. RESULTS: Within the first 24 months after biologic initiation, monitoring (proactive or reactive) was performed in 56.4% of CD patients and 67.8% of UC patients, with considerable geographic variability. Early (within 6 months) proactive monitoring was endoscopy-based (87.9%), performed in 11% of CD (n = 2195/19,899) and 12.8% of UC (n = 925/7247) patients. Compared with no early monitoring, early proactive monitoring was associated with a reduction in disease-related complications for CD (adjusted HR [aHR], 0.90; 95% CI, 0.84-0.96) and UC (aHR, 0.87; 95% CI, 0.78-0.97) and predominately driven by a reduction in corticosteroid use (CD: aHR, 0.83; 95% CI, 0.77-0.90; UC: aHR, 0.77; 95% CI, 0.69-0.87). Results were consistent across multiple sensitivity analyses. CONCLUSIONS: Early proactive monitoring of mucosal inflammation in CD and UC within 6 months of biologic initiation was associated with reduction in disease-related complications over 24 months, primarily related to reduced steroid utilization. Wide variation exists in practice patterns for monitoring of mucosal inflammation after biologic initiation.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".