Vitamin D during pregnancy and neurodevelopment of the child: systematic review.
Bibliographic record
Abstract
Antecedentes: El déficit de vitamina D durante el embarazo tiene un impacto negativo en la salud materno-infantil. Objetivo: Evaluar el efecto del estado de vitamina D durante el embarazo sobre el neurodesarrollo del niño. Selección de estudios: Se realizó una búsqueda de la literatura científica publicada en PubMed/MEDLINE, Scopus y Cochrane hasta enero del 2018. Se seleccionaron los estudios que relacionaban el estado de la vitamina D durante el embarazo con algún dominio del neurodesarrollo del niño (mental, motor, lenguaje, cociente intelectual y comportamiento). La calidad de los estudios incluidos se evaluó a través de la escala Newcastle-Ottawa. Resultados: De los 164 estudios encontrados en la búsqueda, once estudios cumplieron los criterios y fueron considerados diez de alta calidad metodológica y uno de moderada. La revisión sistemática mostró que niveles prenatales de vitamina D <50 nmol/L se asocian frecuentemente a un peor desarrollo mental, motor y del lenguaje de sus hijos en comparación con las madres con concentraciones ≥50 nmol/L. Conclusión: Aunque existe poca evidencia científica que corrobore la relación entre la deficiencia de vitamina D prenatal y su impacto en el neurodesarrollo de los hijos, los datos actuales sugieren un perjuicio sobre el desarrollo mental, motor y del lenguaje del niño. Background: A deficiency of vitamin D during pregnancy has a negative impact on the health of the mother and the child. Objective: To evaluate the effect of vitamin D status during pregnancy on the neurodevelopment of children. Selection of studies: We explored studies that linked the maternal status of vitamin D with neurodevelopment in the infant. The selected studies were identified through a systematic review of the scientific literature published in PubMed/MEDLINE, Scopus and Cochrane until January 2018. The quality of the included studies was carried out through the Newcastle-Ottawa scale. Results: 164 studies were identified and reviewed for selection. At the end of this review, 11 studies were included, all of high methodological quality. This systematic review shows that prenatal vitamin D levels <50 nmol/L are associated with worse mental, motor and language development of their children compared with pregnant women with good vitamin D status. Conclusion: There is still little scientific evidence to corroborate the relationship between prenatal vitamin D deficiency and its impact on the neurodevelopment of children, although current data suggest a detrimental effect on the child's mental, motor and language development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".