Oral Ondansetron Administration to Dehydrated Children in Pakistan: A Randomized Clinical Trial
Bibliographic record
Abstract
BACKGROUND: Ondansetron is an effective antiemetic employed to prevent vomiting in children with gastroenteritis in high-income countries; data from low- and middle-income countries are sparse. METHODS: We conducted a randomized, double-blind, placebo-controlled superiority trial in 2 pediatric emergency departments in Pakistan. Dehydrated children aged 6 to 60 months with ≥1 diarrheal (ie, loose or liquid) stool and ≥1 vomiting episode within the preceding 4 hours were eligible to participate. Participants received a single weight-based dose of oral ondansetron (8–15 kg: 2 mg; >15 kg: 4 mg) or identical placebo. The primary outcome was intravenous administration of ≥20 mL/kg over 4 hours of an isotonic fluid within 72 hours of random assignment. RESULTS: All 918 (100%) randomly assigned children completed follow-up. Intravenous rehydration was administered to 14.7% (68 of 462) and 19.5% (89 of 456) of those administered ondansetron and placebo, respectively (difference: −4.8%; 95% confidence interval [CI], −9.7% to 0.0%). In multivariable logistic regression analysis adjusted for other antiemetic agents, antibiotics, zinc, and the number of vomiting episodes in the preceding 24 hours, children administered ondansetron had lower odds of the primary outcome (odds ratio: 0.70; 95% CI, 0.49 to 1.00). Fewer children in the ondansetron, relative to the placebo group vomited during the observation period (difference: −12.9%; 95% CI, −18.0% to −7.8%). The median number of vomiting episodes (P < .001) was lower in the ondansetron group. CONCLUSIONS: Among children with gastroenteritis-associated vomiting and dehydration, oral ondansetron administration reduced vomiting and intravenous rehydration use. Ondansetron use may be considered to promote oral rehydration therapy success among dehydrated children in low- and middle-income countries.
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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) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".