Maternal high-dose docosahexaenoic acid supplementation and neurodevelopment at 5 Years of preterm children
Bibliographic record
Abstract
BACKGROUND & AIMS: Docosahexaenoic acid (DHA) is the most abundant omega-3 fatty acid in the brain and is accumulated by the fetal brain during the last trimester of pregnancy. Our objective was to determine whether high-dose DHA supplementation during the neonatal period, vs. placebo, improves behavioral functioning at 5 years in children born very preterm. METHODS: This is a follow-up at 5 years corrected age of a subset of children who participated in a multicenter randomized controlled trial. The participants received a high-dose DHA supplementation, or a placebo, through maternal breastmilk until 36 weeks' postmenstrual age. Primary outcome was child behavioral functioning, assessed by the Total Difficulties Score from the Strengths and Difficulties Questionnaire (SDQ). Secondary outcomes included behavioral scores from the SDQ, executive functions assessment and global developmental performance. Neurodevelopmental outcomes were assessed through interviews with parents. Mean differences between DHA and placebo groups were estimated using mixed linear models. Subgroup analyses were conducted for sex and gestational age (GA) at birth. RESULTS: Among 177 eligible children, 132 (74.6 %) completed neurodevelopmental assessment at 5 years (DHA, N = 64, placebo, N = 68). Total Difficulties Score did not differ between the DHA and placebo groups (mean differences, -0.9 [95 % confidence interval, -2.7 to 0.8], P = 0.30), nor any of the secondary outcomes. There was no significant interaction between treatment groups and sex, nor GA, for the primary outcome. However, significant interactions between treatment groups and sex or GA were found for some secondary outcomes. CONCLUSIONS: In very preterm infants, high-dose DHA supplementation did not improve behavioral functioning at 5 years. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT02371460, https://clinicaltrials.gov/study/NCT02371460.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".