Lack of Therapeutic Effect of a Specially Designed Yogurt for the Eradication of <i>Helicobacter pylori</i> Infection
Bibliographic record
Abstract
BACKGROUND: Current antibiotic treatment for Helicobacter pylori infection is often associated with frequent adverse effects and resistance to antibiotics. Alternative treatment methods to control H. pylori infection are needed. Some specific strains of lactic acid bacteria (probiotics) in dairy products are known to inhibit the growth of H. pylori in vitro. A clinical trial was conducted to see the efficacy of a specially designed yogurt product containing specific probiotics on the eradication of H. pylori. METHOD: The yogurt was prepared using three Lactobacillus spp. (L. acidophilus and L. casei) and one commercial starter culture (L. acidophilus, L. bulgaricus and Streptococcus thermophilus). All these cultures were previously evaluated, and found to have strong in vitro inhibitory effects on the growth of H. pylori. Twenty-seven asymptomatic women positive for H. pylori on gastric biopsy and 13C urea breath test were recruited, and administered 175 ml of the yogurt three times a day for 30 days. The 13C urea breath test was administered again, one month after stopping the yogurt treatment to detect the presence of H. pylori. RESULTS: In 26 of 27 subjects, the urea breath test values remained positive, indicating that the consumption of the yogurt had no effect on the eradication of H. pylori. CONCLUSION: Although the designed fermented milk containing lactobacilli is very effective in the inhibition of H. pylori growth in vitro, eradication of this infection in humans is difficult to achieve by consuming this product.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.002 | 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".