Responsiveness of Endoscopic Indices of Disease Activity for Crohn’s Disease
Bibliographic record
Abstract
OBJECTIVES: The Crohn's Disease Endoscopic Index of Severity (CDEIS) and the Simple Endoscopic Score for Crohn's Disease (SES-CD) are commonly used to assess Crohn's disease (CD) activity; however neither instrument is fully validated. We evaluated the responsiveness to change of the SES-CD and CDEIS using data from a trial of adalimumab, a drug therapy of known efficacy. METHODS: Paired video recordings (N=112) of colonoscopies (baseline and week 8-12) obtained from patients with CD who participated in a trial of adalimumab therapy were reviewed in random order, in duplicate, by four central readers (56 pairs of videos by 2 groups of readers). Responsiveness of the SES-CD and the CDEIS was evaluated by comparing correlations between the observed and pre-specified predictions of change scores for these endoscopic indices with a global endoscopic evaluation of severity (GELS), a patient reported outcome (PRO2), and the Crohn's disease activity index (CDAI), and by calculation of the standardized effect size, and Guyatt's Responsiveness statistic (GRS) using 2 definitions of change; (1) treatment assignment and (2) an absolute change in total PRO2 of 50. The potential application of effect size estimates was demonstrated by calculating hypothetical sample sizes for comparing two independent groups. The impact of removing stenosis as an index item and adjusting for the number of segments observed was also assessed. RESULTS: Changes in both endoscopic instruments and the GELS were highly correlated. The SES-CD displayed numerically higher effect sizes for both definitions of change. The standardized effect size and GRS estimates (95% confidence interval) for the SES-CD based on treatment assignment were 0.84 (0.53, 1.15) and 0.79 (0.48, 1.09). Corresponding values for the CDEIS were 0.72 (0.42, 1.02) and 0.75 (0.45, 1.06). The standardized effect size and GRS estimates for the SES-CD based on an absolute change in total PRO2 of 50 points or greater were 0.76 (0.49, 1.02) and 0.93 (0.64, 1.21). Corresponding values for CDEIS were 0.70 (0.44, 0.97), 0.83 (0.55, 1.10). Removal of stenosis as an index item and adjusting for observed segments did not improve responsiveness estimates. CONCLUSIONS: Although both the SES-CD and CDEIS are valid measures of endoscopic disease activity that are moderately responsive to changes in endoscopic disease activity, the SES-CD displayed numerically greater responsiveness in this data set.
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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 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".