A Global, Prospective, Observational Study Measuring Disease Burden and Suffering in Patients With Ulcerative Colitis, Using the Pictorial Representation of Illness and Self-measure Tool
Bibliographic record
Abstract
BACKGROUND: The understanding the Impact of ulcerative COlitis aNd Its assoCiated disease burden on patients study [ICONIC] was a 2-year, global, prospective, observational study evaluating the cumulative burden of ulcerative colitis [UC] using the Pictorial Representation of Illness and Self-Measure [PRISM] tool that is validated to measure suffering, but not previously used in UC. METHODS: ICONIC enrolled unselected outpatient clinic attenders with recent-onset UC. Patient- and physician-reported outcomes including PRISM, the Short Inflammatory Bowel Disease Questionnaire [SIBDQ], the Patient Health Questionnaire [PHQ-9], and the Simple Clinical Colitis Activity Indexes [patient: P-SCCAI; physician: SCCAI] were collected at baseline and follow-up visits every 6 months. Correlations between these measures were assessed using Spearman's rank correlation coefficient. RESULTS: Overall, 1804 evaluable patients had ≥1 follow-up visit. Over 24 months, mean [SD] disease severity measured by P-SCCAI/SCCAI reduced significantly from 4.2 [3.6]/3.0 [3.0] to 2.4 [2.7]/1.3 [2.1] [p<0.0001]. Patient-/physician-assessed suffering, quantified by PRISM, reduced significantly over 24 months [p<0.0001]. SCCAI/P-SCCAI, and patient-/physician-assessed PRISM, showed strong pairwise correlations [rho ≥0.60, p<0.0001], although physicians consistently underestimated these disease severity and suffering measures compared with patients. Patient-assessed PRISM moderately correlated with other outcome measures, including SIBDQ, PHQ-9, P-SCCAI, and SCCAI (rho = ≤-0.38 [negative correlations] or ≥0.50 [positive correlations], p<0.0001). CONCLUSION: Over 2 years, disease burden and suffering, quantified by PRISM, improved in patients with relatively early UC. Physicians underestimated burden and suffering compared with patients. PRISM correlated with other measures of illness perception in patients with UC, supporting its use as an endpoint reflecting patient suffering.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".