Definitions of response and remission for the Robarts Histopathology Index
Bibliographic record
Abstract
The Robarts Histopathology Index (RHI) is a recently validated instrument that measures histological disease activity in ulcerative colitis.1 Given the increasing importance and use of histology in UC as a treatment outcome, additional evaluation and clarification of the definitions for histological remission and response using the RHI is needed. During the development of the RHI, we demonstrated that most patients in clinical or endoscopic remission had an RHI≤6. However, an RHI≤6 should not be used to define histological remission as was recently suggested by Magro et al .2 Rather, the minimal criteria for histological remission should be the absence of neutrophils from the mucosa (both lamina propria and epithelium), as neutrophils have long been used to define histologically active disease.3 Furthermore, the presence of mucosal neutrophils in biopsies from patients in clinical remission predicts clinical relapse.4 Using the RHI, an absence of mucosal neutrophils is defined as RHI≤3 with the additional requirement of subscores of 0 for lamina propria neutrophils and 0 for neutrophils in epithelium. Given that basal plasmacytosis has also been suggested as an important histological predictor of adverse outcomes,5 an alternate histological endpoint that requires both the absence of mucosal neutrophils and basal plasmacytosis defined as an RHI≤1 could be attractive. However, this composite definition might be too …
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".