Safety and Efficacy of Fecal Microbiota, Live-jslm to Prevent Recurrent Clostridioides difficile Infection in Participants With Irritable Bowel Syndrome
Bibliographic record
Abstract
INTRODUCTION: ) is an FDA-approved, single-dose, microbiota-based product to prevent rCDI in adults following standard-of-care (SOC) antibiotic treatment. This was an exploratory subgroup analysis of PUNCH CD3-OLS, a phase 3, open-label, prospective study conducted in the United States (US) and Canada, to evaluate the safety and efficacy of RBL in participants with documented rCDI and concurrent IBS. METHODS: Participants aged ≥ 18 years with a diagnosis of rCDI and who completed SOC antibiotic treatment were enrolled in this study. The primary endpoint of PUNCH CD3-OLS was the number of participants with RBL- or administration-related treatment-emergent adverse events (TEAEs). Secondary endpoints included treatment success at 8 weeks and sustained clinical response at 6 months. In this subgroup analysis, ongoing IBS was confirmed based on medical record documentation at the time of RBL administration. RESULTS: Among the 697 RBL recipients, 90 had comorbid IBS. After RBL administration, 52 participants with IBS (57.8%) and 278 participants without IBS (45.8%) experienced TEAEs through 8 weeks. Most TEAEs were mild (22.2% with IBS, 20.1% without IBS) or moderate (26.7% with IBS, 18.8% without IBS). Serious TEAEs were reported by 1 participant with IBS (pneumonia reported to be unrelated to RBL) and 26 participants without IBS [most of which were related to preexisting conditions (3.1%)]. Among all participants, 68.9% with IBS and 75.6% without IBS had absence of CDI diarrhea through 8 weeks after RBL administration. Of the participants with treatment success, 82.3% with IBS and 92.2% without IBS had sustained clinical response through 6 months. CONCLUSION: RBL is a safe and efficacious option to prevent CDI recurrence in patients with concurrent IBS. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT03931941.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".