Validation of the Modified Multiplier of SES-CD (MM-SES-CD) to Predict Endoscopic Healing in Crohn’s Disease: A Post Hoc Analysis of the SEAVUE Trial
Bibliographic record
Abstract
BACKGROUND: The modified multiplier of the SES-CD (MM-SES-CD) has been shown to predict future endoscopic healing (EH) in patients with Crohn's disease. The purpose of this study was to validate baseline MM-SES-CD categories of severity and determine their prognostic value for predicting 1-year EH. METHODS: Participants in the SEAVUE trial (n = 386) were classified based on baseline endoscopic disease severity using MM-SES-CD cut-offs as mild (≥ 22.5 to < 31), moderate (≥ 31 to < 45), and severe (≥ 45) disease. The primary outcome was achieving 1-year endoscopic healing (EH) as measured by the MM-SES-CD score (< 22.5). Secondary outcomes included clinical and biochemical remission at 1 year based on patient-reported outcomes and fecal calprotectin (FCP)(< 250 mcg/g). RESULTS: MM-SES-CD < 22.5 at 1 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 < .001). A similar trend was observed for patient-reported outcome (PRO-2) clinical remission, which was reached 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). The likelihood of fecal calprotectin (FCP) remission was significantly associated with baseline endoscopic disease severity (P = .008). CONCLUSION: Baseline MM-SES-CD-based cutoffs for endoscopic disease severity show prognostic value for the likelihood of achieving 1-year EH, PRO2 remission, and FCP remission. These findings suggest that the MM-SES-CD can be used both to measure baseline endoscopic disease severity and predict outcomes at 1 year in patients with moderate to severe CD.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| 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".