Evidence map›Paper›PMID 42897644›Full record

ArticleBMC medicine2026

Trimester-specific associations of maternal vitamin D metabolic markers with risks of small vulnerable newborns: a prospective birth cohort study.

Shanshan Wang, Yonghua Xiao, Hongjuan Liu, Mingqi Ran, Xinyu Lu, Yundi Mu, Ningning Cui, Jialin Sun, Xudong Wu, Jian Shen and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Shanshan WangDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yonghua XiaoInstitute of Food Safety and Nutrition Hygiene, Wuhan Center for Disease Prevention and Control, Wuhan, China.
Hongjuan LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mingqi RanDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xinyu LuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yundi MuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ningning CuiDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jialin SunDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xudong WuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jian ShenDepartment of Obstetrics and Gynecology, The Central Hospital of Wuhan, 13 Hangkong Road, Wuhan, 430030, China.
Xuefeng YangDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaomin WuInstitute of Food Safety and Nutrition Hygiene, Wuhan Center for Disease Prevention and Control, Wuhan, China. dennis_602@sina.com.
Liping HaoDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. haolp@mails.tjmu.edu.cn.ORCID 0000-0001-8844-0892

Funding

National Nature Science Foundation of China 82173513Natural Science Foundation of Hubei Province 2021CFB526
6 · The paper itself

Abstract

backgroundVitamin D metabolites beyond total 25(OH)D may influence fetal development, yet their trimester-specific associations with small vulnerable newborns (SVN) remain underexplored. This study examined longitudinal associations of multiple vitamin D metabolic markers with SVN-related outcomes and identified key determinants during pregnancy.

methodsIn this prospective cohort of 2,505 mother-infant pairs from China, serum levels of five vitamin D metabolites 25(OH)D

resultsVitamin D deficiency decreased from 42.0% in the first trimester to 13.8% in the third trimester. Season and vitamin D intake were major determinants, with supplementation showing stronger correlations than diet. In early pregnancy, higher levels of 25(OH)D

conclusionsTrimester-specific vitamin D metabolic profiles showed differential associations with neonatal risks, with stronger corrected evidence for adverse associations related to epimerization-derived markers than for early inverse associations of conventional 25(OH)D metabolites. These findings support comprehensive vitamin D metabolic monitoring and further investigation of tailored supplementation strategies to improve maternal-fetal health.

trial registrationChiCTR1800016908.

Indexed as

Infant, Small for Gestational AgePregnancy TrimestersVitamin DAdultBiomarkersBirth CohortChinaFemaleHumansInfant, NewbornPregnancyProspective StudiesVitamin D DeficiencyBiomarkersVitamin DDeterminantsLow birth weightPreterm birthSmall for gestational ageSmall newbornsVitamin D

Identifiers

PMID42897644
PMCPMC13681765

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.