Evidence map›Paper›PMID 33456139›Full record

ArticleProceedings (Baylor University. Medical Center)2020

Atherogenic index of plasma as a marker of cardiovascular risk factors in Mexicans aged 18 to 22 years.

Ashuin Kammar-García, Patricia López-Moreno, María Elena Hernández-Hernández, Angélica María Ortíz-Bueno, María de Lurdez Consuelo Martínez-Montaño

Open access · greenAbstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ashuin Kammar-GarcíaDepartment of Biochemistry, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
Patricia López-MorenoDepartment of Biochemistry, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
María Elena Hernández-HernándezDepartment of Biochemistry, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
Angélica María Ortíz-BuenoDepartment of Biochemistry, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
María de Lurdez Consuelo Martínez-MontañoDepartment of Biochemistry, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
Benemérita Universidad Autónoma de Puebla · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this cross-sectional study was to evaluate the use and application of the atherogenic index of plasma (AIP) in the prediction of cardiovascular risk factors including mixed hyperlipidemia, hypertension, hyperuricemia, and metabolic syndrome in a population of young Mexican adults. Values were obtained for metabolic parameters, such as glucose, triglycerides, cholesterol (total, high-density, low-density, and very low density), systolic and diastolic blood pressure, and uric acid. Through univariate and multivariate analysis, parametric comparisons were applied and receiver operating characteristic curves were plotted. Logistic regression analysis was used to assess the risk of hyperuricemia, hypertension, mixed hyperlipidemia, and metabolic syndrome from a high AIP. Metabolic parameters and AIP had a significant correlation, with higher rates observed with increased AIP. As a set, metabolic parameters increased with an AIP >0.21 (λ Wilks = 0.58, F(14,344) = 7.7,

Indexed as

Atherogenic index of plasmacardiovascular risk factorsyoung adults

Identifiers

PMID33456139
PMCPMC7785179
OpenAlexW3081004509

What OpenQuestion holds

Textmetadata
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.