Omeprazole delays gastric emptying in healthy volunteers: an effect prevented by tegaserod
Bibliographic record
Abstract
BACKGROUND: Proton-pump inhibitors effectively suppress stomach acidity. They are widely used for treating gastro-oesophageal reflux disease and related conditions. While generally safe, omeprazole and other proton-pump inhibitors can delay gastric emptying. AIM: To test the hypothesis that tegaserod can normalize or prevent omeprazole-induced delay in gastric emptying. METHODS: This was a randomized, double-blind, placebo-controlled, parallel group study in 40 healthy male volunteers. After informed consent and screening, qualified volunteers were treated with unblinded omeprazole 20 mg b.d. and either blinded tegaserod 6 mg t.d.s. (active treatment group) or placebo-matching tegaserod t.d.s. (control group) for 14 days. Gastric emptying was assessed before and after treatment, using a scintigraphy method. RESULTS: Omeprazole monotherapy significantly delayed gastric emptying expressed by duration of lag-phase (P < 0.007), time to gastric half-emptying (P < 0.003), and gastric retention of the meal at 60 (P < 0.002) and 120 min (P < 0.04) after its ingestion. Tegaserod taken together with omeprazole effectively prevented development of the above effects. Combined treatment was safe and well tolerated. CONCLUSION: Concomitant administration of tegaserod 6 mg t.d.s. prevented development of the delayed gastric emptying induced by omeprazole monotherapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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".