Certolizumab pegol, a monthly subcutaneously administered Fc-free anti-TNFα, improves health-related quality of life in patients with moderate to severe Crohn’s disease
Bibliographic record
Abstract
BACKGROUND AND AIMS: Certolizumab pegol, a polyethylene glycolated Fc-free Fab' was efficacious and well tolerated in patients with moderate-to-severe Crohn's disease in a previously reported randomized, placebo-controlled study. In this paper, we report the effect of certolizumab pegol on health-related quality of life (HRQoL). MATERIALS AND METHODS: Patients with moderate-to-severe active Crohn's disease (n = 292) received subcutaneous certolizumab pegol 100, 200, or 400 mg or placebo at weeks 0, 4, and 8. A post hoc analysis of the intent-to-treat population (290 patients with HRQoL data) assessed HRQoL by evaluating patients' responses to the self-administered inflammatory bowel disease questionnaire (IBDQ) at baseline and weeks 2, 4, 6, 8, 10, and 12. RESULTS: Patients receiving certolizumab pegol 400 mg at weeks 0, 4, and 8 demonstrated, via their IBDQ total score, significantly (P <or= 0.05) greater improvement in HRQoL from baseline to week 12 and at all other time points compared with placebo. Moreover, HRQoL improved over time in all certolizumab pegol groups, irrespective of baseline C-reactive protein levels. Emotional well-being (IBDQ Emotional Function domain) improved throughout the study for patients receiving certolizumab pegol 400 mg. This improvement was significantly (P <or= 0.05) greater than for patients receiving placebo at all time points. In addition, systemic symptoms (IBDQ Systemic Symptoms domain) improved significantly more in patients receiving certolizumab pegol 400 mg than in those receiving placebo at weeks 4, 8, 10, and 12 (P
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".