Effect of 25 weeks probiotic supplementation on immune function of HIV patients
Bibliographic record
Abstract
INTRODUCTION: Studies with a follow-up of < 8 weeks have indicated immune-preserving effects of yogurt probiotic supplementation among HIV patients. To evaluate the impact of 25 weeks use of probiotics, a randomized, double blind, controlled study was undertaken on 65 women who were naïve to anti-retroviral treatment. RESULTS: Ten participants were excluded post-randomization due to non-eligibility. Thirty participants were assigned placebo, of whom 25 completed the study versus 19 of 25 completing the study in the probiotics group (p = 0.5). From baseline to 10 weeks follow-up, the CD4 count declined on average 3 CD4 cells/μl (95% Confidence Interval: -97; 91) with placebo versus an increase of 50 cells/μl (95% CI: -61; 162) with probiotics (p = 0.5). From baseline to 25 weeks, the CD4 count increased with 19 cells/μl (95% CI: -90; 129) in the placebo group versus 46 cells/μl (95% CI: -100; 192) with probiotics (p = 0.8). No differences in immune markers, diarrhea incidence or adverse events were observed. DISCUSSION: Lactobacillus GR-1 and RC-14 may be safely consumed at 2 x 10(9) CFU/day by moderately immune compromised HIV patients but this did not universally preserve immune-function. PATIENTS AND METHODS: Women were randomized to receive oral capsules containing Lactobacillus rhamnosus GR-1 and Lactobacillus reuteri RC-14 (2 x 10(9) colony forming units) or placebo twice daily for 25 weeks. The CD4 count and immune markers (IgG, IgE, IFNγ and IL-10) were measured at baseline and during follow-up, the occurrence of diarrhea was reported daily.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".