Meta‐analysis: targeting the intestinal microbiota in prophylaxis for post‐operative Crohn’s disease
Bibliographic record
Abstract
BACKGROUND: Enteric bacteria play an important early role in the pathogenesis of Crohn's disease. AIM: To perform a meta-analysis of trials testing antibiotics or probiotics for prevention of post-operative recurrence of Crohn's disease. METHODS: Review of all randomized controlled trials comparing antibiotics or probiotics with placebo in prevention of endoscopic or clinical recurrence of Crohn's disease after surgical resection. Fixed-effect meta-analysis was performed with dichotomous data summarized using relative risk with 95% confidence intervals, where appropriate. RESULTS: Seven studies were identified as suitable for inclusion (two comparing antibiotics with placebo, five comparing probiotics with placebo). The use of nitroimidazole antibiotics (metronidazole, ornidazole) reduced the risk of clinical (RR 0.23; 95% CI 0.09-0.57, NNT = 4) and endoscopic (RR 0.44; 95% CI 0.26-0.74, NNT = 4) recurrence relative to placebo. However, these agents were associated with higher risk of adverse events (RR 2.39, 95% CI 1.5-3.7) and patient withdrawal. Probiotic administration was not associated with any significant difference in risk of recurrence compared with placebo. CONCLUSIONS: Nitroimidazole antibiotics are effective in the prevention of post-operative Crohn's disease recurrence, but their side-effects limit acceptability. Probiotics have failed to show efficacy for post-operative prophylaxis, but may merit further study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.045 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".