Evidence map›Paper›PMID 37755663›Full record

ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2023

Anthropometric Measures of Adiposity as Markers of Kidney Dysfunction: A Cross-Sectional Study.

Sara Vela-Bernal, Rita Facchetti, Raffaella Dell'Oro, Fosca Quarti-Trevano, Empar Lurbe, Giuseppe Mancia, Guido Grassi

Open access · hybridAbstract read
In one paragraph

Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 2 countries.

Sara Vela-BernalCardiometabolic Risk and Diabetes Research Group, INCLIVA Biomedical Research Institute, Valencia, Spain.
Rita FacchettiClinica Medica, Department of Medicine, University Milano-Bicocca, Via Pergolesi 33, 20052, Monza, Italy.
Raffaella Dell'OroClinica Medica, Department of Medicine, University Milano-Bicocca, Via Pergolesi 33, 20052, Monza, Italy.
Fosca Quarti-TrevanoClinica Medica, Department of Medicine, University Milano-Bicocca, Via Pergolesi 33, 20052, Monza, Italy.
Empar LurbeCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Giuseppe ManciaClinica Medica, Department of Medicine, University Milano-Bicocca, Via Pergolesi 33, 20052, Monza, Italy.
Guido GrassiClinica Medica, Department of Medicine, University Milano-Bicocca, Via Pergolesi 33, 20052, Monza, Italy. guido.grassi@unimib.it.ORCID http://orcid.org/0000-0003-1922-6547
University of Milano-Bicocca · ITHospital Clínico Universitario de Valencia · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was designed to provide information on the ability of several different anthropometric markers to reflect the renal impairment associated with body weight increase and to predict the development of renal alterations linked to overweight and obesity. In 574 subjects representative of the general population of the Pressioni Arteriose Monitorate e Loro Associazioni (PAMELA) study, with an age range between 57 and 73 years, we investigated the association between different anthropometric markers of body fat, as alternative to body mass index, and renal failure, to obtain information useful for determining their potential predictive value. Renal dysfunction was significantly associated with almost all anthropometric markers of adiposity related to body weight and body shape. After adjustment for confounders, such as age, sex, office blood pressure, serum glucose, antihypertensive drugs and smoking habit, association remained significant only for waist-to-hip ratio (WHR), lipid accumulation product (LAP) and visceral adiposity index (VAI). These 3 markers also displayed at the receiver operating curves (ROC) analysis the best ability to detect subjects with or without kidney dysfunction. The results of the present study provide evidence that WHR, LAP and VAI represent the best markers of renal dysfunction associated with visceral body fat accumulation.

Indexed as

AdiposityRenal InsufficiencyAgedBiomarkersBody Mass IndexBody WeightCross-Sectional StudiesHumansKidneyMiddle AgedObesityObesity, AbdominalWaist CircumferenceBiomarkersEpidemiological studyObesity markersRenal dysfunctionWaist-to-hip ratio

Identifiers

PMID37755663
PMCPMC10600305
OpenAlexW4387077454

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.