Effects of Metoclopramide on Feeding Intolerance among Preterm Neonates; A Randomized Controlled Trial.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the efficacy and safety of metoclopramide in the treatment of feeding intolerance in preterm neonates less than 36 weeks of gestational age. METHODS: A randomized, controlled, masked cross-over study. A block of 4 randomizations was used. The "drug group" received intravenous metoclopramide before feeding and placebo group received placebo at the same time. The time to full enteral feeding and suspected adverse effects of metoclopramide, length of hospital stay or incidence of NEC or septicemia were the main outcome measures. FINDINGS: Mean (standard deviation) of weight and Apgar score among metoclopramide and placebo groups were 1638.3±321 gr, 8.9±1.4 and 1593.3±318.8 gr, 8.8±1.3 respectively. Times to full feeding were significantly shorter in the metoclopramide group than in the control group (12.9±5.6 vs 17.0±6.3; P<0.0001) and also the numbers of withheld feedings were significantly lower (P<0.0001). According to the regression analysis, lower weight and placebo group were significantly related to increasing of lavage frequency, number of vomits, start time of feeding, number of feeding cessations and decreased feeding completion time (P<0.0001).No adverse effects of this treatment modality were observed in the two groups. CONCLUSION: Intravenous metoclopramide may be considered as an attempt in facilitating and treatment of feeding intolerance in preterm neonates.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".