Fecal Microbiota Transplantation for Severe or Fulminant <i>Clostridioides difficile</i> Infection: Systematic Review and Meta-analysis
Bibliographic record
Abstract
BACKGROUND: infection (SFCDI) is associated with significant morbidity and mortality. Emerging evidence suggests fecal microbiota transplant (FMT) may be a promising therapy for SFCDI. AIM: This systematic review determines the safety and efficacy of FMT in medically refractory SFCDI. METHODS: A systematic search of the literature was conducted using PubMed (1965 to 2020), Web of Science (1900 to 20), EMBASE (1974 to 2020), and Cochrane Review (1945 to 2020). Quality appraisal by NIH Study Quality Assessment tools, and data extraction were performed by two teams of independent researchers. The primary outcome was resolution of SFCDI 4 weeks after the final FMT. Pooled resolution rates were calculated using generalized linear mixed models estimates. RESULTS: Two hundred and forty patients from 10 studies (8 case series, 1 case-control and 1 randomized study) were included with 209 individual patient-level data. FMT resulted in resolution of SFCDI within 4 weeks in 211/240 individuals for a pooled estimate of 88% (95% confidence interval [CI]: 0.83 to 0.91). The mean number of FMT required was 1.6 for severe and 2.0 for fulminant CDI resolution. The pooled proportional estimates for patients requiring CDI-directed antimicrobials after FMT was 50% (95% CI: 0.06 to 0.94) for severe CDI and 67.0% (95% CI: 0.30 to 0.91) for fulminant CDI. Serious adverse event rates were low. CONCLUSION: FMT appears effective in treating SFCDI patients with low adverse events, but requires multiple treatments with a significant proportion of patients requiring additional anti-CDI antibiotics to achieve resolution. The optimal route of FMT delivery remains unknown. The presence of pseudomembranous colitis may guide additional FMT or anti-CDI antibiotic treatment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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".