Effect of Vitamin D Supplementation on Unexplained Recurrent Spontaneous Abortion: A Double-Blind Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Recurrent spontaneous abortion is a serious problem in pregnancy, which affects between 2 and 5% of women of reproductive age. This study was designed to examine the effect of vitamin D supplementation on the occurrence of unexplained recurrent spontaneous abortion (URSA). METHODS: A double-blind randomized and controlled clinical trial was performed on 80 patients with URSA. They were treated with vaginal progesterone (400 IU/day) after confirmation of pregnancy and received vitamin D and placebo in two intervention (n=40) and control groups (n=40), respectively. The incidence of abortion and the serum levels of IL-23 were examined within 20 weeks of gestation. RESULTS: The levels of vitamin D3 prior to the start of the study were equal to 11.65±3.76 ng/ml and 11.53±2.39 ng/ml (p=0.86) in the intervention and control groups, respectively, which were decreased to 13.21±3.47 ng/ml and 11.08±2.76 ng/ml (p=0.004) at the end of the study, when the mean serum levels of IL-23 were equal to 18.4±3.78 pg/ml and 23.16±4.74 pg/ml in the two groups (p <0.004). The frequency of abortion in the control and intervention groups was equal to 5 (12.8%) and 13 (34.2%), respectively (p=0.03, OR=3.53, 95% CI= 1.12-11.2). CONCLUSIONS: Vitamin D3 leads to decreased serum levels of IL-23 and incidence of abortion among women with URSA.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".