Operating Properties of Disease Activity Indices in Pediatric Inflammatory Bowel Disease: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Accurate, reliable, and responsive disease activity indices are important to streamline drug approval and treatment modalities for pediatric inflammatory bowel disease (pIBD). We aimed to identify all scoring indices used in pIBD randomized controlled trials (RCTs) and to evaluate their operating properties. METHODS: MEDLINE, EMBASE, and CENTRAL were searched on December 6, 2022, to identify studies evaluating clinical, endoscopic, imaging, or patient-reported outcome measures (PROMs) in pIBD including Crohn's disease (CD) and ulcerative colitis (UC). Validity, reliability, responsiveness, and feasibility were summarized. RESULTS: Seventy RCTs evaluating pIBD indices were identified. Forty-one studies reported on the operating properties of 14 eligible indices (n = 9 CD, n = 5 UC). The Pediatric Crohn's Disease Activity Index (PCDAI) varied widely in terms of validity and reliability and was less feasible overall. In contrast, the Mucosal Inflammation Noninvasive Index, which includes fecal calprotectin, had better operating properties than the PCDAI. The Simplified Endoscopic Mucosal Assessment of Crohn's Disease appears more feasible and had similar operating properties than the longer Simple Endoscopic Score for Crohn's Disease. The Pediatric Ulcerative Colitis Activity Index was feasible, valid, and reliable, but responsiveness needs to be evaluated further. The Endoscopic Mayo score and the Ulcerative Colitis Endoscopic Index of Severity were reliable, but validity and responsiveness need to be evaluated further. Imaging and PROMs/quality of life indices need further evaluation. CONCLUSIONS: The operating properties of pIBD clinical trial end points varied widely. These results highlight the need for further validation and development of novel indices.
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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 | 0.020 | 0.082 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".