Applicability of endoscopic indices in the determination of disease activity in patients with ulcerative colitis
Bibliographic record
Abstract
OBJECTIVE: The combination of clinical remission and mucosal healing represents a major goal of different treatment strategies for ulcerative colitis (UC). This study aimed to assess which of the endoscopic indices used to evaluate mucosal changes in UC are correlated with clinical indices currently used to determine disease activity, as well as which of the endoscopic indices are correlated with the Geboes Index used for histological evaluation. It also aimed to find correlations between the currently used clinical activity indices and the histological Geboes Index. METHODS: A group of 49 patients with a confirmed diagnosis of UC and a group of 52 individuals without a diagnosis of gastrointestinal disease, who constituted the control group, were investigated. All patients were evaluated by colonoscopy, and the severity of mucosal changes was scored in terms of nine different endoscopic indices commonly used in both pharmacological trials and clinical practice. Evaluation was also carried out using clinical and histological indices. Endoscopic indices used for UC were then correlated with different clinical and histological indices to find the strongest correlations. RESULTS AND CONCLUSION: A high correlation was demonstrated between three of the 11 evaluated clinical indices - Improvement Based on Individual Symptom Scores, Ulcerative Colitis Disease Activity Index, and Schroeder Index - and all nine endoscopic indices - Ulcerative Colitis Endoscopic Index of Severity, Baron Score, Schroeder Index, Feagan Index, Powell-Tuck Index, Rachmilewitz Index, Sutherland Index, Lofberg Index, and Lemman Index. Improvement Based on Individual Symptom Scores was the index with the highest correlation with all the endoscopic indices used for UC. The above indices are recommended for clinical evaluation of UC activity. The Ulcerative Colitis Endoscopic Index of Severity was moderately correlated with a histological index, and it is therefore recommended for routine endoscopic mucosal evaluation in patients with UC.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".