A64 VALIDATION OF THE MODIFIED MULTIPLIER OF SES-CD (MM-SES-CD) TO PREDICT ENDOSCOPIC REMISSION IN CROHN’S DISEASE: A POST HOC ANALYSIS OF THE SEAVUE TRIAL
Bibliographic record
Abstract
Abstract Background The modified multiplier of the SES-CD (MM-SES-CD) has been shown to have prognostic value for predicting endoscopic healing (EH) in patients with Crohn’s disease. Aims The purpose of this analysis was to validate baseline categories of endoscopic disease severity using the MM-SES-CD and determine their prognostic value for predicting one-year EH. Methods Participants in the SEAVUE trial (n = 386) were categorized based on baseline endoscopic disease severity using MM-SES-CD cut-offs into mild (≥22.5 to < 31), moderate (≥ 31 to < 45) and severe (≥45) disease. The primary outcome was achievement of endoscopic healing (EH) based on MM-SES-CD score (< 22.5) at one year. Secondary outcomes included achieving clinical remission based on patient-reported outcomes and normalization of fecal calprotectin in patients with raised baseline levels at one year. Results MM-SES-CD < 22.5 at one year was achieved in 62.0% of patients with baseline mild endoscopic disease, 48.6% with moderate disease and 33.8% with severe disease (p <0.001). Similarly, a trend was observed for patient-reported outcome (PRO-2) clinical remission, which was achieved in 78.9% of patients with baseline mild endoscopic disease, 72.9% of those with moderate and 66.2% of those with severe disease (p=0.09). Likelihood of fecal calprotectin (FCP) normalization was significantly associated with baseline endoscopic disease severity (p=0.008). Conclusions Baseline MM-SES-CD-based cutoffs for endoscopic disease severity demonstrate prognostic value for achieving one-year EH, PRO2 remission, and FCP normalization. These findings suggest that the MM-SES-CD can be used both to measure baseline endoscopic disease severity and predicts post-maintenance outcomes in patients with CD. Figure 1: Percentage of patients in MM-SES-CD remission (<22.5) at week 52 stratified by baseline MM-SES-CD categories (Mild ≥ 22.5 to < 31, moderate ≥ 31 to < 45, severe ≥ 45) Funding Agencies:
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".