P170 A NOVEL PATIENT REPORTED QUALITY OF LIFE MEASURE CORRELATES WELL WITH THE SHORT INFLAMMATORY BOWEL DISEASE QUESTIONNAIRE IN A LARGE INTERNET BASED COHORT OF PATIENTS WITH INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
The Short Inflammatory Bowel Disease Questionnaire (SIBDQ), a validated inflammatory bowel disease (IBD) specific measure of health related quality of life (HRQOL), is a proprietary instrument. We aimed to create and evaluate a novel measure of HRQOL among patients with Crohn’s disease (CD) or ulcerative colitis (UC) utilizing widely available patient reported outcomes (PROs). Utilizing longitudinal data collected in the Crohn’s and Colitis Foundation of America (CCFA) Partners internet cohort, we analyzed baseline and follow-up responses including the SIBDQ (licensed from McMaster University, Hamilton, Ontario), questions selected from several Patient-Reported Outcomes Measurement Information System domains, and other PROs, including disease activity assessments. The population was separated into training and test sets. Potential questions were compared to the 4 SIBDQ domains and the composite SIBDQ score using Wilcoxon Rank Sum and Pearson correlation analysis. Responsiveness of the measure to changes in disease activity was assessed using Wilcoxon Rank Sum testing. Among 7,670 patients (63% CD, 37% UC), we identified candidate PRO questions based on correlations with each SIBDQ domain, with 5 PRO questions selected (Pearson correlation coefficient r ranging from 0.560–0.738, Table 1). The 5-question measure correlated well with the composite SIBDQ in the training (r=0.883, p<0.001) and test set (r=0.879, p<0.001). The 5-question measure also demonstrated significant responsiveness to changes in disease activity over time, in both CD and UC (Table 2). We created a novel measure of HRQOL that is composed of freely available PROs and demonstrates responsiveness to changes in disease activity among patients with both CD and UC. This potential new measure of HRQOL among patients with IBD decreases patient burden, and may offer substantial benefits as a new assessment tool in research settings and in clinical practice.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".