Integrated analysis of the safety of fecal microbiota, live-jslm in adults with recurrent <i>Clostridioides difficile</i> infection from five prospective clinical trials: an update
Bibliographic record
Abstract
Background: infection (rCDI) in adults following standard-of-care (SOC) antibiotic treatment. Objectives: Provide an updated integrated safety analysis, incorporating final safety data from Punch CD3-OLS. Design: Safety data were combined from five RBL trials: three phase II and two phase III trials. Methods: Adult participants had documented rCDI and completed SOC therapy before receiving one or two doses of RBL or placebo, rectally administered as one treatment course. Treatment-emergent adverse events (TEAEs) were recorded for ⩽6 months. Results: TEAEs were reported in 70.9% (845/1192) of RBL recipients; most TEAEs were mild to moderate and gastrointestinal in nature. Most serious TEAEs were related to preexisting conditions or CDI. There was no clustering of serious TEAEs. Most TEAEs leading to death were related to preexisting conditions. Conclusion: Overall, data demonstrate RBL has a favorable 6-month safety profile. Trial registration: ClinicalTrials.gov: NCT01925417; NCT02299570; NCT02589847; NCT03244644; 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 | 0.028 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".