Predictability of simple endoscopic score for Crohn's disease for postoperative outcomes in Crohn's disease
Bibliographic record
Abstract
BACKGROUND AND AIM: Approximately half of patients with Crohn's disease (CD) who have surgery will experience clinical recurrence within 10 years of their surgery. This study aimed to assess the postoperative outcomes according to disease location and validated the simple endoscopic score for CD (SES-CD) to predict disease-related outcomes. METHODS: We retrospectively assessed medical records of CD patients who underwent ileocolonoscopy within 12 months after surgery at the University of Chicago between 2005 and 2016. We defined patients with postoperative colonic inflammation at the first postoperative ileocolonoscopy or had Montreal classification L2 as colon-dominant disease and patients without colonic involvement or who had L1 as small intestine (SI)-dominant disease. The outcomes included clinical and surgical recurrence. RESULTS: Among 207 CD patients, 51 (24.6%) and 156 (75.4%) patients had colon-dominant and SI-dominant disease, respectively. Patients with colon-dominant disease had a greater risk of postoperative clinical recurrence compared with those with SI-dominant disease (P = 0.018). Colon-dominant disease was a risk of earlier surgical recurrence compared with SI-dominant disease, although there were no significant differences in the recurrence-free survivals. SES-CD > 2 at the first postoperative ileocolonoscopy was a significant risk of clinical recurrence on log-rank test (P < 0.001) and Cox proportional hazards model (hazard ratio = 2.25; 95% confidence interval = 1.14-4.47; P = 0.020). An SES-CD of 1 was an appropriate cut-off to predict the clinical recurrence of SI-dominant disease, but a higher SES-CD cut-off value of 5 was required for colon-dominant disease. CONCLUSIONS: We demonstrated that SES-CD predicts postoperative clinical recurrence of CD, regardless of disease location.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".