Omega-3 Long-Chain Polyunsaturated Fatty Acids for Extremely Preterm Infants: A Systematic Review
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Omega-3 long chain polyunsaturated fatty acid (LCPUFA) exposure can be associated with reduced neonatal morbidities. We systematically review the evidence for the benefits of omega-3 LCPUFAs for reducing neonatal morbidities in extremely preterm infants. METHODS: Data sources were PubMed, Embase, Center for Reviews and Dissemination, and the Cochrane Register of Controlled Trials. Original studies were selected that included infants born at <29 weeks' gestation, those published until May 2013, and those that evaluated the relationship between omega-3 LCPUFA supplementation and major adverse neonatal outcomes. Data were extracted on study design and outcome. Effect estimates were pooled. RESULTS: Of the 1876 studies identified, 18 randomized controlled trials (RCTs) and 6 observational studies met the defined criteria. No RCT specifically targeted a population of extremely preterm infants. Based on RCTs, omega-3 LCPUFA was not associated with a decreased risk of bronchopulmonary dysplasia in infants overall (pooled risk ratio [RR] 0.97, 95% confidence interval [CI] 0.82-1.13], 12 studies, n = 2809 infants); however, when considering RCTs that include only infants born at ≤32 weeks' gestation, a trend toward a reduction in the risk of bronchopulmonary dysplasia (pooled RR 0.88, 95% CI 0.74-1.05, 7 studies, n = 1156 infants) and a reduction in the risk of necrotizing enterocolitis (pooled RR 0.50, 95% CI 0.23-1.10, 5 studies, n = 900 infants) was observed with LCPUFA. CONCLUSIONS: Large-scale interventional studies are required to determine the clinical benefits of omega-3 LCPUFA, specifically in extremely preterm infants, during the neonatal period.
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How this classification was reachedexpand
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".