Evidence map›Paper›PMID 24802225›Full record

ArticlePloS one2014

Hypertriglyceridemia influences the degree of postprandial lipemic response in patients with metabolic syndrome and coronary artery disease: from the CORDIOPREV study.

Juan F Alcala-Diaz, Javier Delgado-Lista, Pablo Perez-Martinez, Antonio Garcia-Rios, Carmen Marin, Gracia M Quintana-Navarro, Purificacion Gomez-Luna, Antonio Camargo, Yolanda Almaden, Javier Caballero and 4 more

Abstract readControlled Clinical Trial
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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  10. Who would benefit most from postprandial lipid screening?Clinical nutrition (Edinburgh, Scotland) · 2021
    Article
  11. Review
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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

14 authors.

Juan F Alcala-DiazUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Javier Delgado-ListaUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Pablo Perez-MartinezUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Antonio Garcia-RiosUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Carmen MarinUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Gracia M Quintana-NavarroUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain.
Purificacion Gomez-LunaUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Antonio CamargoUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Yolanda AlmadenUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Javier CaballeroDepartamento de Análisis Clínicos, Hospital Universitario Reina Sofía, Córdoba, Spain.
Francisco J TinahonesHospital Virgen de la Victoria, CIBEROBN, Instituto de Salud Carlos III, Malaga, Spain.
Jose M OrdovasNutrition and Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts, United States of America; Instituto Madrileño de Estudios Avanzados en Alimentación (IMDEA-Alimentacion), Madrid, Spain.
Francisco Perez-JimenezUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Jose Lopez-MirandaUnidad de Lípidos y Arteriosclerosis, Departamento de Medicina, Instituto Maimónides de Investigación Biomédica de Córdoba(IMIBIC)/Hospital Universitario Reina Sofía/Universidad de Córdoba, Córdoba, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether metabolic syndrome traits influence the postprandial lipemia response of coronary patients, and whether this influence depends on the number of MetS criteria. MATERIALS AND

methods1002 coronary artery disease patients from the CORDIOPREV study were submitted to an oral fat load test meal with 0.7 g fat/kg body weight (12% saturated fatty acids, 10% polyunsaturated fatty acids, 43% monounsaturated fatty acids), 10% protein and 25% carbohydrates. Serial blood test analyzing lipid fractions were drawn at 0, 1, 2, 3 and 4 hours during the postprandial state. Total and incremental area under the curves of the different postprandial parameters were calculated following the trapezoid rule to assess the magnitude of change during the postprandial state.

resultsPostprandial lipemia response was directly related to the presence of metabolic syndrome. We found a positive association between the number of metabolic syndrome criteria and the response of postprandial plasma triglycerides (p<0.001), area under the curve of triglycerides (p<0.001) and incremental area under the curve of triglycerides (p<0.001). However, the influence of them on postprandial triglycerides remained statistically significant only in those patients without basal hypertriglyceridemia. Interestingly, in stepwise multiple linear regression analysis with the AUC of triglycerides as the dependent variable, only fasting triglycerides, fasting glucose and waist circumference appeared as significant independent (P<0.05) contributors. The multiple lineal regression (R) was 0.77, and fasting triglycerides showed the greatest effect on AUC of triglycerides with a standardized coefficient of 0.75.

conclusionsFasting triglycerides are the major contributors to the postprandial triglycerides levels. MetS influences the postprandial response of lipids in patients with coronary heart disease, particularly in non-hypertriglyceridemic patients.

Indexed as

Postprandial PeriodAdultAgedCoronary Artery DiseaseFastingFemaleHumansHypertriglyceridemiaMaleMetabolic SyndromeMiddle AgedTriglyceridesTriglycerides

Identifiers

PMID24802225
PMCPMC4011695

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