Evidence mapPaperPMID 38999727Full record

ArticleNutrients2024

Association between Vitamin D Deficiency and Prediabetes Phenotypes: A Population-Based Study in Henan, China.

Guojie Wang, Shixian Feng, Jiying Xu, Xiaolin Wei, Guojun Yang

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Guojie WangPublic Health School, Henan Medical College, Zhengzhou 451191, China.
Shixian FengInstitute for Chronic Disease Control, Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China.
Jiying XuAnti-TB Institute, Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China.
Xiaolin WeiDalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada.ORCID 0000-0002-3076-2650
Guojun YangPublic Health School, Henan Medical College, Zhengzhou 451191, China.

Funding

Joint Construction Project of Henan Provincial Medical Science and Technology Tackling Plan, Henan Provincial Health Commission, and Henan Provincial High-level Talents Overseas Training Project, Henan Provincial Science and Technology Department. LHGJ20190721
6 · The paper itself

Abstract

The evidence remains inconsistent regarding whether vitamin D deficiency (VDD) increases the risk of prediabetes. This study aimed to examine whether there is sex-specific association between VDD and impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) in Henan. The data were sourced from the survey of chronic diseases and nutrition in Henan. Multinomial logistic regression models based on complex sampling design and weight were developed to estimate the odds ratio (OR) and confidence interval (95%CI) for measuring the association between VDD and IFG/IGT. The prevalence rate of IGT in men was 20.1% in the VDD group, significantly higher than that in the non-VDD group (10.5%), but no significant difference was observed in women between the VDD and non-VDD groups; there were no significant differences in IFG prevalence between the VDD and non-VDD groups in either men or women. It was found that the association between VDD and IGT was statistically significant in men. The adjusted OR (95%CI) of VDD was 1.99 (1.24-3.19) for IGT in men and 14.84 (4.14-53.20) for IGT in men having a family history of DM. Thus, men with VDD were more likely to live with IGT than those without VDD, especially for men having a family history of diabetes.

Indexed as

Glucose IntolerancePhenotypePrediabetic StateVitamin D DeficiencyAdultAgedBlood GlucoseChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioPrevalenceBlood Glucoseimpaired fasting glucoseimpaired glucose tolerancerisk factorvitamin D

Identifiers

PMID38999727
PMCPMC11243366

What Socratic holds

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Registered trials

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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 Socratic graph.