Evidence map›Paper›PMID 29483547›Full record

ArticleScientific reports2018

Influent factors of gestational vitamin D deficiency and its relation to an increased risk of preterm delivery in Chinese population.

Yuan-Hua Chen, Lin Fu, Jia-Hu Hao, Hua Wang, Cheng Zhang, Fang-Biao Tao, De-Xiang Xu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

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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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Yuan-Hua ChenSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
Lin FuSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
Jia-Hu HaoSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
Hua WangSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
Cheng ZhangSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
Fang-Biao TaoSchool of Public Health, Anhui Medical University, Hefei, 230032, China.
De-Xiang XuSchool of Public Health, Anhui Medical University, Hefei, 230032, China. xudex@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational vitamin D deficiency (VDD) has been linked with adverse pregnant outcomes. To investigate influent factors of gestational VDD and its relation to the incidence of preterm delivery, total 3598 eligible mother-and-singleton-offspring pairs were recruited. For serum 25(OH)D concentration, 941 pregnant women were sufficient, 1260 insufficient, and 1397 deficient. Further analysis showed that VDD was more prevalent in winter than in other seasons. Underweight but not overweight was a risk factor for gestational VDD. Multivitamin use reduced risk of gestational VDD. Interestingly, 8.23% delivered preterm infants among subjects with VDD (adjusted RR: 4.02; 95% CI: 2.33, 6.92) and 3.81% among subjects with gestational vitamin D insufficiency (VDI) (adjusted RR: 2.07; 95% CI: 1.16, 3.71). Moreover, 2.59% delivered early preterm infants among subjects with VDD (adjusted RR: 2.97; 95% CI: 1.41, 6.24) and 0.49% among subjects with VDI (adjusted RR: 0.54; 95% CI: 0.19, 1.51). The incidence of late preterm delivery was 5.64% among subjects with VDD (adjusted RR: 3.90; 95% CI: 2.26, 6.72) and 3.32% among subjects with VDI (adjusted RR: 2.09; 95% CI: 1.17, 3.74). In conclusion, pre-pregnancy BMI, seasonality and multivitamin use are influent factors of gestational vitamin D status. Gestational VDD is associated with an increased risk of preterm delivery in Chinese population.

Indexed as

Asian PeopleCohort StudiesFemaleHumansInfant, PrematurePregnancyPregnancy ComplicationsPremature BirthProspective StudiesRisk FactorsVitamin DVitamin D DeficiencyVitamin D

Identifiers

PMID29483547
PMCPMC5827025

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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.