Evidence map›Paper›PMID 38126570›Full record

ArticleArquivos brasileiros de cardiologia2023

Use of Atherogenic Indices as Assessment Methods of Clinical Atherosclerotic Diseases.

Yuri Barbosa Araújo, Ana Beatriz Rocha Almeida, Márcio Fellipe Menezes Viana, Rafael Alexandre Meneguz-Moreno

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. From Atheroma to Atherogenic Index, Secular Evidence.Arquivos brasileiros de cardiologia · 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

4 authors at 1 institution in 1 country.

Yuri Barbosa AraújoUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE - Brasil.ORCID 0000-0002-1724-3637
Ana Beatriz Rocha AlmeidaUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE - Brasil.ORCID 0009-0000-0077-7790
Márcio Fellipe Menezes VianaUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE - Brasil.ORCID 0009-0005-1663-9591
Rafael Alexandre Meneguz-MorenoUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE - Brasil.ORCID 0000-0001-8274-1547
Universidade Federal de Sergipe · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral illustration : Use of Atherogenic Indices as Assessment Methods of Clinical Atherosclerotic Diseases.

backgroundThe search for clinically useful methods to assess atherosclerotic diseases (ASCVD) with good accuracy, low cost, non-invasiveness, and easy handling has been stimulated for years. Thus, the atherogenic indices evaluated in this study may fit this growing demand.

objectivesTo assess the potential of atherogenic indices to evaluate patients with clinical atherosclerosis.

methodsSingle-center cross-sectional study, through which the Castelli I and II indices, the atherogenic index of plasma (AIP), the lipoprotein combine index, and the variation in the peripheral perfusion index between 90 and 120 seconds after an endothelium-dependent (ΔPI90-120) vasodilator stimulus were evaluated in the prediction of atherosclerosis. Statistical significance was set at p < 0.05.

resultsThe sample consisted of 298 individuals with an average age of 63.0±16.1 years, of which 57.4% were women. Paired comparisons of the ROC curve analysis of the indices that reached the area under the curve (AUC) > 0.6 show that ΔPI90-120 and AIP were superior to other indices, and no differences were observed between them (difference between AUC = 0.056; 95%CI -0.003-0.115). Furthermore, both the ΔPI90-120 [odds ratio (OR) 9.58; 95%CI 4.71-19.46)] and AIP (OR 5.35; 95%CI 2.30-12.45) were independent predictors of clinical atherosclerosis.

conclusionsThe AIP and ΔPI90-120 represented better accuracy in discriminating clinical ASCVD. Moreover, they were independent predictors of clinical ASCVD, evidencing a promising possibility for developing preventive and control strategies for cardiovascular diseases. Therefore, they are markers for multicenter studies from the point of view of practicality, low cost, and external validity.

Indexed as

AtherosclerosisCardiovascular DiseasesAgedCross-Sectional StudiesFemaleHumansLipoproteinsMaleMiddle AgedOdds RatioLipoproteins

Identifiers

PMID38126570
PMCPMC10789372
OpenAlexW4389955893

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.