The effect of vitamin D supplementation during pregnancy and lactation on maternal & infant 25‐hydroxyvitamin D (25OHD) concentration
Bibliographic record
Abstract
Attaining adequate vitamin D status during pregnancy and lactation is important for maternal and infant health. Our objective was to determine the effect of three dose regimens of vitamin D on maternal and infant 25‐hydroxyvitamin D concentrations. 163 healthy pregnant women between 13–22 wks gestation were recruited from Vancouver, Canada and randomized to one of three doses of supplemental vitamin D3 (400 IU/d, 1000 IU/d or 2000 IU/d) to take until 8 wks postpartum. Maternal blood was collected at baseline, 36 wks gestation, and maternal and infant blood were collected 8 wks postpartum. Mean 25OHD was 68 nmol/L at baseline and 17% of participants had a 25OHD < 50 nmol/L. At 36 wks gestation, maternal serum 25OHD [mean (95%CI)] concentrations, after adjusting for baseline 25OHD, were significantly higher in the women who received 2000 IU/d [79 (75,84) nmol/L] and 1000 IU/d [78 (74, 82)] than the 400 IU/d [69 (65, 74)]. At 8 wks postpartum, maternal serum 25OHD concentrations were highest in the 2000 IU/d [88 (83, 92)] followed by the 1000 IU/d [80 (75, 84)] and the 400 IU/d [71 (67, 76)] group. Likewise, serum 25OHD concentrations were highest in infants at 8 wks whose mothers received 2000 IU/d 75 (66, 84)] followed by the 1000 IU/d [54 (45, 62)] and the 400 IU/d (44 (35, 52)]. Generally, vitamin D supplementation increased maternal and infant 25OHD concentrations in a dose response manner. (Canadian Institutes of Health Research)
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".