Evolving Treatment Algorithms in Crohn's Disease
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: Crohn's disease (CD) is a chronic, disabling and destructive condition. Half of patients will develop some bowel damage (stricture, fistula and/or abscess). Current therapeutic strategies failed to alter its natural history. OBJECTIVE: We explore in a review article the evolution of CD treatment over a quarter of a century from a linear sequence of treatment intensification to a complex algorithm focused on individualized patient care by looking beyond symptoms. Specifically we focus on evolving concepts in assessing disease severity, selecting rigorous treatment end-targets, initiating an effective therapeutic therapy, and managing secondary loss of response. RESULTS: A tight monitoring of objective signs of inflammation and a treat-to-target approach are probably the only way to change patients' life and disease course. We now seek to optimize our therapeutic tools according to patient profile, disease phenotype and the unique pharmacodynamics that ensues. CONCLUSION: Standardizing the clinical practice of gastroenteroogists with the most current treatment algorithm may minimize disease related complications while favouring patient's quality of life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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