The Influence of Prenatal Vitamin D Supplementation on Dental Caries in Infants.
Bibliographic record
Abstract
OBJECTIVES: Early childhood caries (ECC) originates prenatally. This study investigated whether a relation exists between levels of vitamin D in the umbilical cord and caries in offspring. METHODS: A prospective cohort of expectant mothers was selected from a high-risk urban population receiving prenatal care in Winnipeg, Canada. Participants self-selected into 1 of 2 groups. The intervention group received 2 oral prenatal doses of 50 000 international units (IU) of vitamin D in addition to routine prenatal care. The control group received routine prenatal care. A prenatal questionnaire was completed at the first visit. Umbilical cord blood was analyzed for 25 hydroxyvitamin D (25(OH)D). At the time of their infant's first birthday, participants returned for a follow-up questionnaire and a dental examination of the infant. A p value ≤ 0.05 was significant. RESULTS: In all, 283 women were recruited (mean age 23.4 ± 5.6 years), 141 in the intervention group and 142 in the control group. The mean cord 25(OH)D level was 49.6 ± 24.3 nmol/L and did not differ between the groups. For the follow-up visit, 175 women returned. Overall, 26.3% of infants had ECC, and the mean decayed tooth (dt) score was 0.94 ± 2.16 teeth (range 0-16). There was no significant difference in prevalence of ECC between the intervention and control groups (p = 0.21). Poisson regression determined an inverse relation between 25(OH)D levels and dt scores (p = 0.001). Socioeconomic factor index (SEFI), age and enamel hypoplasia, but not vitamin D supplementation were significantly and independently associated with dt. Multiple logistic regression models also revealed that higher SEFI score, age and enamel hypoplasia were associated with ECC. CONCLUSION: No relation was found between the 2 groups and prevalence of ECC. However, significance was seen in an inverse relation between 25(OH)D levels and the number of decayed primary teeth. Further studies with higher levels of vitamin D supplementation are needed.
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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 | 0.002 |
| 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 | 0.000 | 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".