Prospective assessment of the effect on quality of life of anti‐tumour necrosis factor therapy for perineal Crohn’s fistulas
Bibliographic record
Abstract
BACKGROUND: Anti-tumour necrosis factor (TNF) therapy effectively treats Crohn's perineal fistulas (CPF); the effect on health-related quality of life (HRQoL) remains unknown. AIMS: To evaluate the effect of anti-TNF therapy on the HRQoL of patients with CPF in daily clinical practice. METHODS: Prospective evaluation of clinical and magnetic resonance imaging (MRI) responses, disease activity (Perianal Disease Activity Index - PDAI), and HRQoL assessment [Inflammatory Bowel Disease Questionnaire (IBDQ)] in patients receiving anti-TNF therapy for CPF treated up to 12 months. RESULTS: In all, 26 patients with CPF were treated (mean age 39 years; 19 infliximab, 7 adalimumab). At baseline, 85% patients had impaired IBDQ scores (mean 137; 'normal' >170). At 12 months, mean increases in IBDQ score for infliximab and adalimumab treated patients were 40 and 41 points respectively (P < 0.05). There were significant improvements in all IBDQ subscores (bowel, emotional, systemic, social) at 12 months (all P < or = 0.003). Fourteen patients (74%) on infliximab and six on adalimumab (86%) achieved IBDQ score > or =170. Mean increase in IBDQ score was 50, 34 and 16 points in patients with clinical fistula closure (P < 0.001), clinical response (P = 0.002) and no response (n = 1) respectively. IBDQ score increased for patients with MRI healing (P < 0.001) and MRI improvement (P = 0.016), but not for those with no MRI change (n = 2). IBDQ correlated significantly with PDAI at baseline and at 12 months. CONCLUSION: Anti-TNF therapy improves HRQoL in patients with CPF at 12 months and this improvement is most pronounced in patients with clinical and MRI healing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".