Antioxidant Vitamins, Long-Chain Fatty Acids, and Spontaneous Preterm Birth
Bibliographic record
Abstract
BACKGROUND: Neither macro- nor micronutrient supplements have been clearly demonstrated to reduce the risk of preterm birth. However, there has been little attention to carotenoids, tocopherols, and long-chain fatty acids other than n-3 polyunsaturates. METHODS: We conducted a case-control study nested in a large (n = 5337) prospective, multicenter cohort. All cohort women had an interview, examination, and venipuncture at 24-26 weeks' gestation. Frozen plasma samples in spontaneous preterm births (n = 207) and approximately 2-term controls per case (n = 443) were analyzed for carotenoids, retinol, tocopherols, and long-chain fatty acids. Fresh placentas were fixed, stained, and assessed (without knowledge of pregnancy outcome) for histologic evidence of infection or inflammation, decidual vasculopathy, and infarction. RESULTS: High (above the median) plasma concentrations of alpha- and beta-carotene, alpha- and beta-cryptoxanthin, and lycopene were all associated with reductions in risk of spontaneous preterm birth, with evidence of dose-response effects across quartiles. Modest increases in risk were observed with elevated total monounsaturated, total polyunsaturated, and total n-6 polyunsaturated long-chain fatty acids concentrations. Paradoxically, a high gamma-tocopherol concentration was associated with increased preterm birth risk (adjusted odds ratio = 1.8 [95% confidence interval = 1.2-2.6]). Only one of the studied micronutrients (lutein) was independently associated with a reduced risk of decidual vasculopathy (0.5 [0.3-0.9]). CONCLUSIONS: Carotenoids and long-chain fatty acids warrant further investigation in in vitro, animal, and human studies of preterm birth.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".