Evidence map›Paper›PMID 37275636›Full record

ArticleFrontiers in nutrition2023

Increased selenium and decreased iron levels in relation to risk of coronary artery disease in patients with diabetes.

Mengyun Tian, Teng Hu, Jiajun Ying, Hanbin Cui, Ning Huangfu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. 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
0.5field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
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 at 2 institutions in 1 country.

Mengyun TianDepartment of Cardiology, The First Affiliated Hospital of Ningbo University, School of Medicine, Ningbo University, Ningbo, China.
Teng HuDepartment of Cardiology, The First Affiliated Hospital of Ningbo University, School of Medicine, Ningbo University, Ningbo, China.
Jiajun YingDepartment of Cardiology, Ningbo First Hospital, Ningbo, China.
Hanbin CuiDepartment of Cardiology, The First Affiliated Hospital of Ningbo University, School of Medicine, Ningbo University, Ningbo, China.
Ning HuangfuDepartment of Cardiology, The First Affiliated Hospital of Ningbo University, School of Medicine, Ningbo University, Ningbo, China.
Ningbo University · CNNingbo First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies have reported inconsistent associations between micronutrient levels and the risk of coronary artery disease (CAD) in diabetic patients. We aim to explore the causal association between genetically predicted concentrations of micronutrients (phosphorus, magnesium, selenium, iron, zinc, and copper) and CAD in patients with diabetes. Methods: Single nucleotide polymorphisms (SNPs) connected to serum micronutrient levels were extracted from the corresponding published genome-wide association studies (GWASs). Summary-level statistics for CAD in diabetic patients were obtained from a GWAS of 15,666 patients with diabetes. The primary analysis was carried out with the inverse variance weighted approach, and sensitivity analyses using other statistical methods were further employed to assess the robustness of the results. Results: Genetically predicted selenium level was causally associated with a higher risk of CAD in diabetic patients (odds ratio [OR]: 1.25; 95% confidence interval [CI]: 1.10-1.42; Conclusion: We provide consistent evidence for the causal effect of increased selenium and decreased iron levels on CAD in patients with diabetes, highlighting the necessity of micronutrient monitoring and application in these patients.

Indexed as

causal associationcoronary artery diseasediabetesironmicronutrientselenium

Identifiers

PMID37275636
PMCPMC10233138
OpenAlexW4377108051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.