Evidence map›Paper›PMID 37432258›Full record

ArticleNutrients2023

Relationship between Atherogenic Dyslipidaemia and Lipid Triad and Scales That Assess Insulin Resistance.

Hernán Paublini, Angel Arturo López González, Carla Busquets-Cortés, Pilar Tomas-Gil, Pere Riutord-Sbert, José Ignacio Ramírez-Manent

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Effect ofInternational journal of molecular sciences · 2024
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  10. Comparing Efficacy of Chiglitazar, Pioglitazone, and Semaglutide in Type 2 Diabetes: A Retrospective Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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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

6 authors at 2 institutions in 1 country.

Hernán PaubliniResearch Group Adema Salud IUNICS, 07003 Palma, Spain.
Angel Arturo López GonzálezResearch Group Adema Salud IUNICS, 07003 Palma, Spain.ORCID 0000-0002-7439-8117
Carla Busquets-CortésResearch Group Adema Salud IUNICS, 07003 Palma, Spain.ORCID 0000-0001-9367-2137
Pilar Tomas-GilResearch Group Adema Salud IUNICS, 07003 Palma, Spain.
Pere Riutord-SbertResearch Group Adema Salud IUNICS, 07003 Palma, Spain.ORCID 0000-0003-2135-9699
José Ignacio Ramírez-ManentResearch Group Adema Salud IUNICS, 07003 Palma, Spain.ORCID 0000-0001-6887-4562
Research Institute of Health Sciences · ESHealth Research Institute of the Balearic Islands · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherogenic dyslipidaemia (AD) and lipid triad (LT) are characterised by high triglyceride levels together with low HDL and normal or high LDL cholesterol and are favoured by a persistent state of insulin resistance (IR), which increases the release of free fatty acids from abdominal adipose tissue. This alteration in the lipid profile favours the accelerated development of atherosclerosis, which is the most important cause of morbidity and mortality in all countries in the developed and developing world. One of the elements that plays a major role in the genesis of AD is IR. The aim of this study was to determine the relationship between variables that assess atherogenic risk (AD and LT) and scales that assess the risk of presenting insulin resistance.

methodsA descriptive cross-sectional study of 418,343 workers was conducted to evaluate atherogenic dyslipidaemia and lipid triad; a relationship with three insulin resistance risk scales (Triglycerides/HDL, TyG index, METS-IR) was established. The usefulness of IR risk scales for predicting AD and LT was calculated by applying ROC curves, obtaining the area under the curve (AUC) and cut-off points with their sensitivity, specificity, and Youden index. Multivariate analysis was performed by binary logistic regression.

resultsThe prevalence of high-risk values for insulin resistance with all of the scales is much higher in people with AD and LT compared to those without. The ROC curves present us with an AUC with the three insulin resistance risk scales for the two dyslipidaemias studied with figures ranging between 0.856 and 0.991, which implies that the results are good/very good.

conclusionsA relationship between atherogenic dyslipidaemia and the three insulin resistance risk scales assessed is revealed, with higher IR mean values and prevalence in people with atherogenic dyslipidaemia and lipid triad. The three scales make it possible to adequately classify the presence of AD and LT. The highest AUC is presented by the triglycerides/HDL scale, with a result close to 1. METS-IR is the most recommended formula to estimate insulin resistance.

Indexed as

AtherosclerosisDyslipidemiasHypercholesterolemiaInsulin ResistanceCross-Sectional StudiesFatty Acids, NonesterifiedHumansTriglyceridesFatty Acids, NonesterifiedTriglyceridesatherogenic dyslipidaemiaatherogenic riskinsulin resistancelipid triad

Identifiers

PMID37432258
PMCPMC10180556
OpenAlexW4367317911

What OpenQuestion holds

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LicenceCC BY
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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.