Mode of delivery and maternal vitamin D deficiency: an optimized intelligent Bayesian network algorithm analysis of a stratified randomized controlled field trial.

What Was Tested

The paper reports a study of Vitamin D, K2, Magnesium and Zinc, published as a randomized controlled trial.

This study aimed to elucidate the algorithm of various influential factors relating to the association between 25-hydroxyvitamin D (25(OH)D) concentration at delivery and mode of delivery.

The investigation constituted a secondary analysis using data collected as part of the Khuzestan Vitamin D Deficiency Screening Program in Pregnancy, which is a stratified randomized vitamin D supplementation-controlled trial comprising 1649 eligible pregnant women.

Who Took Part

The abstract describes 1649 women taking part.

PubMed tags the participants as women only.

How the Study Was Run

The researchers set it up as a randomized study.

Because people in this Vitamin D, K2, Magnesium and Zinc study were split into groups at random, differences between the groups are less likely to reflect who happened to join each one.

What Was Measured

The investigation constituted a secondary analysis using data collected as part of the Khuzestan Vitamin D Deficiency Screening Program in Pregnancy, which is a stratified randomized vitamin D supplementation-controlled trial comprising 1649 eligible pregnant women.

PubMed files the paper under topics including Pre-Eclampsia, Premature Birth, Bayes Theorem, Cesarean Section, Pregnancy Complications, Vitamin D Deficiency and Vitamin D.

What This Means in Plain Language

The paper is a randomized study of Vitamin D, K2, Magnesium and Zinc in 1649 women.

With several hundred people or more, it is a fairly large study for this kind of research.

The publication is from 2023 (Scientific reports), a journal based in England.

More context: the Vitamin D, K2, Magnesium and Zinc compound page, all human trials.