Randomized open‐label trial of two weekly oral vitamin D3 supplementation regimens during the third trimester of pregnancy in Bangladeshi women: effects on maternal vitamin D status and safety
Bibliographic record
Abstract
To study the potential maternal-infant benefits of improving antenatal vitamin D status in South Asia, safe high-dose vitamin D3 supplementation regimens need to be established. Pregnant women at 27–30 weeks gestation in Dhaka (N=28) were randomized to 70,000 IU initial dose + 35,000 IU/week vitamin D3 (A) or 14,000 IU/week vitamin D3 (B), until delivery. Baseline serum 25-hydroxyvitamin D ([25(OH)D]) were similar in groups A (35 nmol/L) and B (31 nmol/L, P=0.34). Group A had a more robust [25(OH)D] response than B, demonstrated by several outcomes: 1) final mean [25(OH)D] was higher in A (98 nmol/L) vs. B (76 nmol/, P=0.04); 2) the modeled mean rise above baseline [25(OH)D] at steady-state was 16 nmol/L (95% CI, 5 – 26) higher in A vs. B; and, 3) the area under the Δ [25(OH)D]-time curve was larger in A vs. B (P=0.028). Importantly, 90% of women in group A attained [25(OH)D]>80 nmol/L at 10weeks vs. 56% in group B. Mean albumin-adjusted serum calcium ([Ca]) and urinary calcium-creatinine ratio (ca:cr) increased slightly after supplement initiation and then stabilized in group A; but mean [Ca] and ca:cr in groups A and B were within normal ranges and did not significantly differ between the groups in follow-up. There were no supplement-related serious adverse events. In this preliminary study in Bangladesh, 70,000 IU initial + 35,000 IU/week vitamin D3 in the 3rd trimester optimized vitamin D status and was non-hypercalcemic. Grant Funding Source: Center for Global Health, Johns Hopkins University; Department of International Health, Johns Hopkins Bloomberg School of Public Health
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".