Maternal vitamin D status in pregnancy and adverse pregnancy outcomes in a group at high risk for pre‐eclampsia
Bibliographic record
Abstract
Please cite this paper as: Shand A, Nassar N, Von Dadelszen P, Innis S, Green T. Maternal vitamin D status in pregnancy and adverse pregnancy outcomes in a group at high risk for pre‐eclampsia. BJOG 2010;117:1593–1598. Objective To determine in a group of pregnant women if vitamin D status, based on serum 25‐hydroxyvitamin D (25OHD) concentration, was associated with a subsequent risk of pre‐eclampsia or adverse pregnancy outcomes. Design Prospective cohort study. Setting Vancouver, British Columbia, Canada (49°N). Population Women attending a specialist antenatal clinic because of clinical or biochemical risk factors for pre‐eclampsia ( n = 221). Methods Serum 25OHD concentration measured between 10 and 20 weeks of gestation. Main outcome measures Pre‐eclampsia and composite adverse pregnancy outcomes. Results Of the women, 78% were vitamin D insufficient (25OHD <75 nmol/l) and 53% were vitamin D deficient (25OHD <50 nmol/l). There was no difference in the rates of pre‐eclampsia, gestational hypertension, preterm birth or composite adverse pregnancy outcomes by 25OHD concentration. Conclusions Vitamin D deficiency and insufficiency were common in a group of women at high risk of pre‐eclampsia; however, it was not associated with subsequent risk of an adverse pregnancy outcome.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".