Evidence map›Paper›PMID 31409878›Full record

ArticleScientific reports2019

Novel and traditional lipid profiles in Metabolic Syndrome reveal a high atherogenicity.

Sílvia Paredes, Liliana Fonseca, Laura Ribeiro, Helena Ramos, José Carlos Oliveira, Isabel Palma

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

  1. Pooled it
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  6. Article
  7. Article
  8. Article
  9. Advances in the Regulation of Lipid Metabolism by Non-Coding RNAs.Animals : an open access journal from MDPI · 2025
    Review
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  11. Article
  12. Article
  13. Article
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  15. Article
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  18. Plasma Corin: A New Biochemical Marker for Polycystic Ovary Syndrome.Reproductive sciences (Thousand Oaks, Calif.) · 2024
    Article
  19. Article
  20. 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

6 authors.

Sílvia ParedesSílvia Cristina de Sousa Paredes. Endocrinology Department, Hospital de Braga, Sete Fontes, São Victor, 4710-243, Braga, Portugal. silvia.sparedes@gmail.com.
Liliana FonsecaLiliana Cecília Martins da Fonseca. Endocrinology Department, Centro Hospitalar e Universitário do Porto, Largo Professor Abel Salazar, 4099-001, Porto, Portugal.
Laura RibeiroLaura Virgínia Pereira Teixeira Ribeiro. Department of Public Health and Forensic Sciences, and Medical Education, Medical Education Unit, Faculty of Medicine of the University of Porto, 4200-319, Porto, Portugal.
Helena RamosMaria Helena da Silva Ramos. Endocrinology Department, Centro Hospitalar e Universitário do Porto, Largo Professor Abel Salazar, 4099-001, Porto, Portugal.
José Carlos OliveiraJosé Carlos Azevedo Oliveira. Clinical Chemistry Department, Centro Hospitalar e Universitário do Porto, Largo Professor Abel Salazar, 4099-001, Porto, Portugal.
Isabel PalmaIsabel Maria Gonçalves Mangas Neto da Palma. Endocrinology Department, Centro Hospitalar e Universitário do Porto, Largo Professor Abel Salazar, 4099-001, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-density-lipoprotein cholesterol (LDL-c) guides lipid-lowering therapy, although other lipid parameters could better reflect cardiovascular disease (CVD) risk. Discordance between these parameters and LDL-c has not been evaluated in metabolic syndrome (MetS) patients. We characterized a comprehensive lipid profile in 177 MetS patients. The 2016 ESC/EAS Guidelines for the Management of Dyslipidemias were used to define LDL-c targets. The atherogenic lipoprotein profile was compared in patients with LDL-c within and above the target. Only 34.4% (61) of patients had mean LDL-c levels within the guidelines and patients with LDL-c above target presented significantly elevated levels of Apolipoprotein B (ApoB), non-high-density lipoprotein cholesterol (non-HDL-c) and oxidized LDL-c. In patients with LDL-c within target, 25%, 31% and 49% presented levels above the recommended range for ApoB, non-HDL-c and oxidized LDL-c, respectively. Patients presented a strong association of LDL-c and non-HDL-c (r = 0.796), ApoB (r = 0.749) and oxidized LDL-c (r = 0.452). Similarly, non-HDL-c was strongly correlated with ApoB (r = 0.857) and oxidized-LDL-c (r = 0.555). The logistic regression model evidenced higher triglycerides and HDL-c and lower ApoB as predictors of having LDL-c within target. Reliance solely on LDL-c could result in missed opportunities for CVD risk reduction. ApoB, oxidized LDL-c, and particularly non-HDL-c, could be valuable parameters to estimate the CVD risk of MetS patients and have the potential to be targeted therapeutically.

Indexed as

AdultAgedApolipoproteins BAtherosclerosisBlood PressureCholesterol, LDLFemaleHumansLipid MetabolismLipidsLipoproteins, LDLMaleMetabolic SyndromeMiddle AgedTriglyceridesApolipoproteins BCholesterol, LDLLipidsLipoproteins, LDLoxidized low density lipoproteinTriglycerides

Identifiers

PMID31409878
PMCPMC6692317

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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.