Enhancing Human Milk Production With Domperidone in Mothers of Preterm Infants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Mothers of preterm infants often are at risk of expressing an inadequate amount of milk for their infants and the use of galactogogues is often considered. Domperidone is a widely used galactogogue with little information available to guide clinicians regarding initiation, timing, and duration of treatment. Research aim: The primary objective of this study was to determine whether administration of domperidone within the first 21 days after delivery would lead to a higher proportion of mothers achieving a 50% increase in the volume of milk at the end of 14 days of treatment compared with mothers receiving placebo. METHODS: Eligible mothers were randomized to one of two treatment arms: Group A-domperidone 10 mg orally three times daily for 28 days; or Group B-placebo 10 mg orally three times daily for 14 days followed by domperidone 10 mg orally three times daily for 14 days. RESULTS: A total of 90 mothers of infants ≤ 29 weeks gestation were randomized. Mean milk volumes at entry were similar for both groups. More mothers achieved a 50% increase in milk volume after 14 days in Group A (77.8%) compared with Group B (57.8%), odds ratio = 2.56, 95% confidence interval [1.02, 6.25], p = .04. CONCLUSION: A greater number of mothers experienced a 50% or more increase in human milk volume, but the absolute increase in milk volume was modest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it