Evidence map›Paper›PMID 39684400›Full record

ArticleInternational journal of molecular sciences2024

The Genetic Variants Influencing Hypertension Prevalence Based on the Risk of Insulin Resistance as Assessed Using the Metabolic Score for Insulin Resistance (METS-IR).

Bo-Kyung Shine, Ja-Eun Choi, Young-Jin Park, Kyung-Won Hong

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Bo-Kyung ShineDepartment of Family Medicine, Medical Center, Dong-A University, Busan 49201, Republic of Korea.ORCID 0000-0002-9160-2781
Ja-Eun ChoiInstitute of Advanced Technology, Theragen Health Co., Ltd., Seongnam 13493, Republic of Korea.
Young-Jin ParkDepartment of Family Medicine, Medical Center, Dong-A University, Busan 49201, Republic of Korea.ORCID 0000-0002-5341-0930
Kyung-Won HongInstitute of Advanced Technology, Theragen Health Co., Ltd., Seongnam 13493, Republic of Korea.ORCID 0000-0002-3137-4609

Funding

Dong-A University Research Fund 2024 Not Provided
6 · The paper itself

Abstract

Insulin resistance is a major indicator of cardiovascular diseases, including hypertension. The Metabolic Score for Insulin Resistance (METS-IR) offers a simplified and cost-effective way to evaluate insulin resistance. This study aimed to identify genetic variants associated with the prevalence of hypertension stratified by METS-IR score levels. Data from the Korean Genome and Epidemiology Study (KoGES) were analyzed. The METS-IR was calculated using the following formula: ln [(2 × fasting blood glucose (FBG) + triglycerides (TG)) × body mass index (BMI)]/ ln [high-density lipoprotein cholesterol (HDL-C)]. The participants were divided into tertiles 1 (T1) and 3 (T3) based on their METS-IR scores. Genome-wide association studies (GWAS) were performed for hypertensive cases and non-hypertensive controls within these tertile groups using logistic regression adjusted for age, sex, and lifestyle factors. Among the METS-IR tertile groups, 3517 of the 19,774 participants (17.8%) at T1 had hypertension, whereas 8653 of the 20,374 participants (42.5%) at T3 had hypertension. A total of 113 single-nucleotide polymorphisms (SNPs) reached the GWAS significance threshold (

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyHypertensionInsulin ResistancePolymorphism, Single NucleotideAdultAgedBlood GlucoseBody Mass IndexFemaleHumansMaleMetabolic SyndromeMiddle AgedPrevalenceRepublic of KoreaBlood GlucoseGWAShypertensionKoGESMETS-IRSNP

Identifiers

PMID39684400
PMCPMC11640995

What Socratic 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 Socratic graph.