Effects of probiotic therapy on portal pressure in patients with cirrhosis: a pilot study
Bibliographic record
Abstract
BACKGROUND: Recent literature has supported the role of bacterial translocation as a mediator of splanchnic vasodilatation and portal hypertension. The objective of this study was to determine whether the probiotic VSL#3 would reduce portal pressure in patients with cirrhosis. METHODS: Eight patients with compensated or very early decompensated cirrhosis and hepatic venous pressure gradient (HVPG) >10 mmHg, received 2 months of VSL#3 (3600 billion bacteria daily). The HVPG, intestinal permeability, endotoxin, tumour necrosis factor (TNF)-alpha, interleukin (IL)-6, IL-8, renin and aldosterone were measured at baseline and study end. RESULTS: There was no change in the HVPG or intestinal permeability from baseline to study end but there was a trend to reduction in plasma endotoxin (P=0.09), a mild but significant increase in serum TNF-alpha (P=0.02) and a significant reduction in plasma aldosterone (P=0.03). CONCLUSIONS: Within the limitations of small sample size, there does not appear to be a benefit of probiotic therapy for portal pressure reduction in patients with compensated or early decompensated cirrhosis. The reductions in endotoxin and aldosterone suggest possible beneficial effects of probiotics for this patient population. The clinical significance of the small but unexpected increase in TNF-alpha is unclear. Future studies are planned in patients with decompensated cirrhosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".