Bismuth-Based Triple Therapy with Bismuth Subcitrate, Metronidazole and Tetracycline in the Eradication of<i>Helicobacter pylori</i>: A Randomised, Placebo Controlled, Double-Blind Study
Bibliographic record
Abstract
OBJECTIVE: To determine the rate of Helicobacter pylori eradication following bismuth-based triple therapy with colloidal bismuth subcitrate, tetracycline hydrochloride and metronidazole. PATIENTS AND METHODS: One hundred and eleven patients were randomly assigned, in a two to one ratio, to colloidal bismuth subcitrate 120 mg qid plus metronidazole 250 mg qid plus tetracycline 500 mg qid (Gastrostat), or matching placebo tablets and capsules for 14 days. Presence or absence of H pylori was documented by histology at entry and at least 28 days after treatment. Patients had dyspeptic symptoms with or without a history of peptic ulcer. Patients with any previous attempt(s) at eradication of H pylori, who used bismuth, antibiotics, H2 receptor antagonists or proton pump inhibitors in the previous four weeks were excluded. RESULTS: Fifty-three of 59 (90%) patients on bismuth-based treatment and only one of 35 (3%) on placebo achieved eradication by per protocol analysis. Fifty-three of 65 (82%) patients on bismuth-based treatment achieved eradication, while only two of 34 (5%) achieved eradication on placebo by intention to treat analysis. Eradication rates for bismuth-based treatment across sites ranged from 83% to 100%. Only two patients in the bismuth-based treatment group (4%) and one in the placebo group (3%) discontinued treatment because of adverse events. CONCLUSIONS: Colloidal bismuth subcitrate plus metronidazole plus tetracycline, given in the doses studied for 14 days, is safe and highly effective against H pylori infection and would be appropriate as a first-line therapy for eradication.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".