P-141 Association Between Week 8 Mayo Subscores and Hospitalisation Rates in Adalimumab-treated Patients with Ulcerative Colitis from ULTRA1 and ULTRA2
Bibliographic record
Abstract
To determine the association between week 8 Mayo subscore (MS) values for rectal bleeding (RB), stool frequency (SF), endoscopy, and physicians global assessment (PGA) and hospitalisation incidence rates (IR) for adalimumab (ADA)-treated patients (pts) with moderately to severely active ulcerative colitis (UC) enrolled in ULTRA 11 and ULTRA 2.2 All-cause and UC-related hospitalisations occurring from wks 8 to 52 were examined for 160/80 mg-ADA randomised pts in ULTRA 1 and ULTRA 2. ADA-treated pts received 160/80 mg ADA at weeks 0/2, followed by 40 mg ADA every other week (eow) to week 52. ULTRA 1 had an 8-week double-blind (DB) phase followed by an open-label (OL) phase to week 52, during which pts could move to weekly (ew) ADA for inadequate response. In the 52-week DB trial ULTRA 2, pts with inadequate response could receive OL 40 mg eow beginning at week 12 followed by 40 mg ew. All hospitalisations occurring during DB or OL were analyzed. Hospitalisation IR (the number of pts with hospitalisations over pt-yrs at risk) were calculated for each MS value as assessed at wk 8. Spearman correlation coefficients were calculated between the MS and IR for each category. Pts were censored at first hospitalisation. The table shows IRs for all-cause and UC-related hospitalisations by week 8 MS category. Significant correlations were seen for SF subscores and all-cause hospitalisations and for RB and PGA subscores with UC-related hospitalisations. Week 8 endoscopy subscores were not significantly correlated with hospitalisation IRs (R2 = 0.64, P = 0.20 for each category). The IRs for both categories of hospitalisations were similar for pts with a week 8 endoscopy subscore of 0 or 1. For ADA-treated pts with moderately to severely active UC, SF subscore at week 8 was strongly correlated with all-cause hospitalisation risk, whereas week 8 endoscopy subscore trended to correlate with hospitalisation risk. References: 1. Reinisch W, et al. 2011. Gut;60:780 2. Sandborn WJ, et al. 2012. Gastroenterology;142:257.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".