A Review of the Modified Multiplier of Simple Endoscopic Score for Crohn's Disease and How to Use It in Clinical Trials and Practice
Bibliographic record
Abstract
Endoscopic evaluation is valuable in the diagnosis, assessment, and management of Crohn's disease (CD). The Simple Endoscopic Score for CD (SES-CD) was created using a uniform, linear scoring scale of 0-3 for each of its 4 parameters at 5 anatomic locations and was designed to accurately indicate disease severity rather than predicting disease progression. There is evidence to suggest that all disease segments and parameters of the SES-CD do not have equal prognostic value for likelihood of achieving endoscopic remission. The Modified Multiplier SES-CD, developed by multivariable logistic regression modeling, weighs the individual parameters of the SES-CD including disease distribution based on their prognostic values for achieving endoscopic remission. The objective of this qualitative review is to provide guidance to clinicians and clinical trialists for how to use and interpret the Modified Multiplier SES-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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".