DOP16 Categorizing endoscopic severity of Crohn’s Disease using the Modified Multiplier SES-CD (MM-SES-CD)
Bibliographic record
Abstract
Abstract Background Current endoscopic scoring indices such as the Simple Endoscopic Score for Crohn’s Disease (SES-CD) quantify the degree of mucosal inflammation in Crohn’s disease (CD) but lack prognostic potential. The Modified Multiplier of the Simple Endoscopic Score for Crohn’s Disease (MM-SES-CD) is an internally validated endoscopic scoring tool that quantifies the endoscopic burden of CD and can be accessed online (https://www.mcmasteribd.com/mm-ses-cd).1 This analysis aims to establish thresholds of the MM-SES-CD that classify CD endoscopic burden into inactive or very mild disease, mild, moderate, and severe disease based on the probability of achieving endoscopic remission (ER) on active therapy at one-year. Methods This post-hoc analysis included pooled data from three CD clinical trials (n=350 patients, baseline SES-CD ≥3 with confirmed ulceration). Maximum Youden Index calculations were used to determine thresholds for severity. Chi-square tests of trend were used to compare achievement of ER between severity categories, and Kaplan-Meier survival curve analysis was used to compare time to clinical remission (CR). Results Table 1 demonstrates the baseline characteristics of the 350 participants included in this analysis. MM-SES-CD severity categories were established as inactive or very mild (score <14), mild (score ≥14 to <31), moderate (≥31 to <45), and severe (score ≥45), which were predictive of one-year ER (50%, 30.3%, 21.7%, 8.8% respectively p<0.001) (Table 2). Lower MM-SES-CD scores had numerically higher rates of one-year CR, and time to CR over 52 weeks was superior to those with higher scores (p=0.0492) (Figure 1). MM-SES-CD thresholds for the achievement of ileal ER at one-year among 75 patients with isolated ileal disease were also established as mild (score <14), moderate (score ≥14 to <33), and severe (score ≥33), which were predictive of one-year ER (66.7%, 33.3%, 13.3%, respectively p=0.027) (Table 3). Conclusion We have established numerical cut-offs of the MM-SES-CD that categorize endoscopic disease severity and are prognostic for one-year ER and CR. These cut-offs could help ensure adequate balance between study arms (e.g. in prevalence of mild or moderate endoscopic disease) and identify patients with severe endoscopic disease and low probability of achieving ER. Reference 1. Predicting endoscopic remission in Crohn’s disease by the modified multiplier SES-CD (MM-SES-CD). Gut, 2021: p. gutjnl-2020–323799.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".