Evidence map›Paper›PMID 33149882›Full record

ArticleTherapeutic advances in endocrinology and metabolism2020

Relationship of visceral adipose tissue with surrogate insulin resistance and liver markers in individuals with metabolic syndrome chronic complications.

Vanessa Bullón-Vela, Itziar Abete, Josep A Tur, Jadwiga Konieczna, Dora Romaguera, Xavier Pintó, Emili Corbella, Miguel A Martínez-González, Carmen Sayón-Orea, Estefanía Toledo and 11 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Fatty liver index (FLI): more than a marker of hepatic steatosis.Journal of physiology and biochemistry · 2024
    Pooled it
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  15. Lower Visceral Fat Area in Patients with Type 2 Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
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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

21 authors at 4 institutions in 1 country.

Vanessa Bullón-VelaDepartment of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.
Itziar AbeteDepartment of Nutrition, Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain.ORCID https://orcid.org/0000-0001-5218-6941
Josep A TurConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Jadwiga KoniecznaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Dora RomagueraConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Xavier PintóConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Emili CorbellaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Miguel A Martínez-GonzálezConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Carmen Sayón-OreaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Estefanía ToledoConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Dolores CorellaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Manuel Macías-GonzalezConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Francisco J TinahonesConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Montserrat FitóConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Ramon EstruchConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Emilio RosConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Jordi Salas-SalvadóConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Lidia DaimielPrecision Nutrition Programme, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
Catalina M MascaróConsorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III (ISCIII), Madrid, Spain.
Maria Angeles ZuletDepartment of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.
José Alfredo MartínezDepartment of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0002-6475-5387
Instituto de Salud Carlos III · ESMadrid Institute for Advanced Studies · ESUniversidad de Navarra · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral adipose tissue (VAT) has a hazardous influence on systemic inflammation, insulin resistance and an adverse metabolic profile, which increases the risk of developing non-alcoholic fatty liver disease (NAFLD) and chronic complications of diabetes. In our study we aimed to evaluate the association of VAT and the triglyceride glucose (TyG) as a proxy of insulin resistance surrogated with metabolic and liver risk factors among subjects diagnosed with metabolic syndrome (MetS).

methodsA cross-sectional study was performed including 326 participants with MetS (55-75 years) from the PREDIMED-Plus study. Liver-status markers, VAT and TyG were assessed. Participants were stratified by tertiles according to VAT (

resultsSubjects with greater visceral fat depots showed worse lipid profile, higher homeostatic model assessment for insulin resistance (HOMA-IR), TyG, alanine transaminase (ALT), fibroblast growth factor-21 (FGF-21), fatty liver index (FLI) and hepatic steatosis index (HSI) compared with participants in the first tertile. The multi-adjusted linear-regression analyses indicated that individuals in the third tertile of TyG (>9.1-10.7) had a positive association with HOMA-IR [

conclusionsA disrupted VAT enlargement and impairment of TyG are strongly associated with liver status and cardiometabolic risk factors linked with NAFLD in individuals diagnosed with MetS. Moreover, the TyG could be used as a suitable and reliable marker estimator of VAT.

Indexed as

insulin resistancemetabolic syndromenon-alcoholic fatty liver diseasetriglyceride glucose indexvisceral adipose tissue

Identifiers

PMID33149882
PMCPMC7586032
OpenAlexW3093596434

What OpenQuestion holds

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LicenceCC BY-NC
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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.