Evidence map›Paper›PMID 34257493›Full record

ArticleActa Cardiologica Sinica2021

The Relationship between Insulin Resistance and Spatial QRS-T Angle in American Adults.

Mohammed F Faramawi, Leanna Delhey, Saly Abouelenein, Lana M Brown, Robert Delongchamp

Open access · greenAbstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2021. 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
0.2field-weighted citation impact, top 48% 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, 1 citations in OpenAlex.

  1. 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 2 countries.

Mohammed F FaramawiDepartment of Epidemiology, College of Public Health.
Leanna DelheyDepartment of Epidemiology, College of Public Health.
Saly AboueleneinDepartment of Epidemiology, College of Public Health.
Lana M BrownCentral Arkansas Veterans Healthcare System, VISN 16, Little Rock Geriatric Research Education and Clinical Center (GRECC), North Little Rock.
Robert DelongchampDepartment of Epidemiology, College of Public Health.
Faculty of Public Health · GBUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance can impair the electrical conductivity of the heart. Spatial QRS-T axis reflects ventricular depolarization and repolarization. The relationship between insulin resistance and spatial QRS-T angle has not been examined in the general population.

objectiveWe examined the relationship between insulin resistance and spatial QRS-T angle in an American population-based sample.

methodsWe used data collected from the National Health and Nutrition Examination Survey III (NHANES III), and a directed acyclic graph to select confounders. We fitted logistic regression models and adjusted for the effect of the confounders. We stratified all analyses by gender.

resultsThe odds ratios (OR) of the abnormal QRS-T angle and their 95% confidence intervals (CI) for females and males were 1.08 (1.03-1.16) and 1.03 (0.96-1.11), respectively. A 5-unit increase in insulin resistance in females increased the odds of an abnormal QRS-T angle by 47% (OR = 1.47, 95% CI, 1.10-2.10); in males, a 5-unit increase in insulin resistance increased the OR by 17% (OR = 1.17, 95% CI, 0.82-1.70).

conclusionsSpatial QRS-T angle may be associated with insulin resistance, especially in women. The individuals with a higher insulin resistance value had higher odds for major adverse cardiovascular events. Nevertheless, the results of this study should be verified in prospective studies.

Indexed as

ElectrocardiographyInsulin resistanceSpatial-QRS-T angleSurvey

Identifiers

PMID34257493
PMCPMC8261696
OpenAlexW3179739967

What OpenQuestion 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 OpenQuestion graph.