Evidence map›Paper›PMID 31640702›Full record

ArticleCardiovascular diabetology2019

Efficacy of visceral fat estimation by dual bioelectrical impedance analysis in detecting cardiovascular risk factors in patients with type 2 diabetes.

Yoko Omura-Ohata, Cheol Son, Hisashi Makino, Ryo Koezuka, Mayu Tochiya, Tamiko Tamanaha, Ichiro Kishimoto, Kiminori Hosoda

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

49 citing papers in PubMed, 74 citations in OpenAlex.

  1. Impact of a Mediterranean diet on hepatic and metabolic outcomes in non-alcoholic fatty liver disease: The MEDINA randomised controlled trial.Liver international : official journal of the International Association for the Study of the Liver · 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

8 authors at 1 institution in 1 country.

Yoko Omura-OhataDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Cheol SonDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan. son@ncvc.go.jp.ORCID 0000-0002-7916-0546
Hisashi MakinoDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Ryo KoezukaDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Mayu TochiyaDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Tamiko TamanahaDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Ichiro KishimotoDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
Kiminori HosodaDivision of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 kishibeshin-machi, Suita, Osaka, 564-8565, Japan.
National Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral fat area (VFA) is a good surrogate marker of obesity-related disorders, such as hypertension, dyslipidemia and glucose intolerance. Although estimating the VFA by X-ray computed tomography (CT) is the primary index for visceral obesity, it is expensive and requires invasive radiation exposure. Dual bioelectrical impedance analysis (BIA) is a simple and reliable method to estimate VFA; however, the clinical usefulness of dual BIA remains unclear in patients with type 2 diabetes (T2D).

methodsWe estimated the VFAs by dual BIA and CT in 98 patients with T2D and assessed anthropometric parameters, blood test results, and the presence of comorbid hypertension and dyslipidemia. We compared the correlation between the VFAs examined by dual BIA and CT. Furthermore, we performed the receiver operating characteristic (ROC) analyses for the VFAs to detect the presence of comorbid hypertension and/or dyslipidemia with T2D, which are major comorbidities of visceral obesity, and estimated the area under the curve (AUC).

resultsThe measurement error between the VFAs by dual BIA and CT was significantly higher among patients with brain natriuretic peptide (BNP) ≥ 100 pg/mL than those with BNP < 100 pg/mL (39.2% ± 31.1% vs. 24.1% ± 18.6%, P < 0.05). After excluding patients with BNP ≥ 100 pg/mL, the VFA by dual BIA significantly correlated with the VFA by CT (r = 0.917; P < 0.0001). The AUC in the ROC analysis for the VFA by dual BIA to detect the presence of comorbid hypertension and/or dyslipidemia with T2D was almost equivalent to that for the VFA by CT.

conclusionsIn patients with T2D without elevated BNP > 100 pg/mL as indicator for fluid accumulation interfering with BIA, estimation of the VFA by dual BIA significantly correlated with that by CT and also detected comorbid hypertension and/or dyslipidemia with T2D equivalent to those detected by CT. Hence, dual BIA could be an alternative to CT as a standard method for estimating the VFA in patients with diabetes.

Indexed as

AdiposityAgedBiomarkersCardiovascular DiseasesComorbidityDiabetes Mellitus, Type 2DyslipidemiasElectric ImpedanceFemaleHumansHypertensionIntra-Abdominal FatJapanMaleMiddle AgedNatriuretic Peptide, BrainBiomarkersNatriuretic Peptide, BrainCardiovascular risk factorImpedanceType 2 diabetesVisceral fat

Identifiers

PMID31640702
PMCPMC6805489
OpenAlexW2981394956

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.