Effects of high‐dose antenatal 3rd‐trimester vitamin D supplementation (35,000 IU/week) on maternal and newborn vitamin D status: a randomized placebo‐controlled trial in Dhaka, Bangladesh
Bibliographic record
Abstract
Maternal‐infant vitamin D status in South Asia may be suboptimal. Yet, high dose prenatal vitamin D supplementation dose regimens have not been widely studied. In a double‐blinded randomized controlled trial in Dhaka, 160 pregnant women were assigned to vitamin D3 35,000 IU/week (VD) or placebo (P) from 26–29 weeks gestation to delivery. The primary biochemical efficacy outcome was serum 25‐hydroxyvitamin D concentration (25(OH)D) and the primary safety measure was maternal serum calcium. Mean maternal 25(OH)D was similar in the VD and P groups at baseline (45 vs. 44 nmol/L; P=0.66), but significantly differed at delivery (134 vs. 39 nmol/L, P<0.001; N=133). Women were more likely to attain >=50 nmol/L and >=80 nmol/L at delivery with VD (100% & 97%, respectively) vs. P (22% & 5%, respectively). Cord 25(OH)D was significantly higher with VD vs. P (103 vs. 39 nmol/L; P<0.001; N=132), and significantly more newborns had cord 25(OH)D>=50 nmol/L with VD vs. P (95% vs. 19%; P<0.001). VD did not cause documented maternal hypercalcemia or other supplement‐related serious adverse events. In conclusion, prenatal 3rd‐trimester supplementation with 35,000 IU vitamin D3/week prevented perinatal vitamin D insufficiency and was well tolerated. Further trials are needed to determine if increases in 25(OH)D due to high‐dose VD supplementation are safe and lead to maternal‐infant health benefits. Support: Thrasher Research Fund
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".