Evidence map›Paper›PMID 31968341›Full record

ArticleObesity facts2020

Are Obesity Indices Useful for Detecting Subclinical Atheromatosis in a Middle-Aged Population?

Enric Sánchez, Marta Sánchez, Àngels Betriu, Ferran Rius, Gerard Torres, Francesc Purroy, Reinald Pamplona, Marta Ortega, Carolina López-Cano, Marta Hernández and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity facts, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. 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

15 authors at 3 institutions in 1 country.

Enric SánchezEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Marta SánchezEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Àngels BetriuUnit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R), University Hospital Arnau de Vilanova, Vascular and Renal Translational Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Ferran RiusEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Gerard TorresRespiratory Department, University Hospital Arnau de Vilanova-Santa María, Translational Research in Respiratory Medicine, IRBLleida, University of Lleida, Lleida, Spain.
Francesc PurroyStroke Unit, University Hospital Arnau de Vilanova. Clinical Neurosciences Group, IRBLleida, University of Lleida, Lleida, Spain.
Reinald PamplonaExperimental Medicine Department, IRBLleida, University of Lleida, Lleida, Spain.
Marta OrtegaInstitut Català de la Salut, Unitat de Suport a la Recerca Lleida, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Lleida, Spain.
Carolina López-CanoEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Marta HernándezEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Marta BuenoEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Elvira FernándezUnit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R), University Hospital Arnau de Vilanova, Vascular and Renal Translational Research Group, IRBLleida, University of Lleida, Lleida, Spain.
Javier SalvadorDepartment of Endocrinology and Nutrition, Clínica Universidad de Navarra, Pamplona, Spain.
Albert LecubeEndocrinology and Nutrition Department, University Hospital Arnau de Vilanova, Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, Lleida, Spain, alecube@gmail.com.
ILERVAS project collaborators
Universitat de Lleida · ESInstituto de Salud Carlos III · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is a close relationship between excess adiposity and cardiovascular disease. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. Here, our objective was to assess the usefulness of these anthropometric indices to detect subclinical atheromatous disease.

methodsA cross-sectional study with 6,809 middle-aged subjects (mean age, 57 [53-63] years) with low to moderate cardiovascular risk from the ILERVAS project. Measures of total body fat (BMI, Clínica Universidad de Navarra - Body Adiposity Estimator [CUN-BAE], and Deurenberg's formula) and central adiposity (waist and neck circumferences, conicity index, waist-to-height ratio, Bonora's equation, the A body adiposity index, and body roundness index) were performed in all participants. Bilateral carotid and femoral ultrasound vascular studies allowed the identification of subjects with plaque. -Results: All measured indices were significantly higher in males with subclinical carotid or femoral plaques (p ≤ 0.021 for all). Also, a positive and significant correlation between all indices and the number of affected territories was found (p ≤ 0.013 for all). From the ROC analysis, all measurements identified patients with asymptomatic atheromatosis but none of them helped make clinical decisions. Regarding females, the results were less conclusive.

conclusionObesity indices are related to subclinical atheromatosis, especially in men, in a large cohort of middle-aged subjects. However, the indices could not detect the presence of arterial plaque, so, when used in isolation, are unlikely to be decisive.

Indexed as

Health Status IndicatorsAdiposityAgedAsymptomatic DiseasesAtherosclerosisBody Mass IndexCardiovascular DiseasesCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityPrognosisRisk FactorsAdipose tissueExcess body weightObesity indicesSubclinical atheromatosis

Identifiers

PMID31968341
PMCPMC7098313
OpenAlexW3002999396

What Socratic holds

Textmetadata
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 Socratic graph.