Vitamin D deficiency during pregnancy and its consequences
Bibliographic record
Abstract
The vitamin D deficiency pandemic sweeping the planet has hit pregnant women prominently. Studies show that the total level of insufficiency, deficiency and severe deficiency of vitamin D in the largest Asian countries reaches 97 %, in Europe and North America it ranges from 70 to 82 %, in the most problematic regions of Russia it reaches 98 %. Due to the high prevalence of vitamin D deficiency among pregnant women, the insufficient level of understanding in the Russian society of the importance of this problem, as well as the variety of recommendations, up to diametrically opposed ones, a study was made to estimate the effect of vitamin D deficiency on pregnancy outcomes in Europe, the USA and Canada. The analysis of domestic and foreign literature on the problem of the effect of vitamin D levels in blood serum on pregnancy outcomes, as well as the conducted statistical studies, allow to conclude that the level of vitamin D in maternal blood serum has a serious impact on pregnancy outcomes. Low vitamin D levels are associated with increased maternal and perinatal mortality, as well as stillbirths. One of the main causes of maternal and perinatal deaths and stillbirths is preeclampsia, which is significantly more common in pregnant women suffering from vitamin D deficiency. Currently, the use of vitamin D supplements has become widespread in international practice in order to reduce the incidence and severity of preeclampsia and improving pregnancy outcomes. The currently existing official domestic and international regulations that do not recommend vitamin D intake during pregnancy require critical discussion and revision.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".