Evidence map›Paper›PMID 29916924›Full record

ReviewCurrent opinion in clinical nutrition and metabolic care2018

How to best assess abdominal obesity.

Hongjuan Fang, Elizabeth Berg, Xiaoguang Cheng, Wei Shen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in clinical nutrition and metabolic care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 6 pooled it
–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

157 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  5. Waist circumference, waist-hip ratio, body fat rate, total body fat mass and risk of low back pain: a systematic review and meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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97 more citing papers are in PubMed but not listed here.

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

4 authors.

Hongjuan FangDepartment of Endocrinology, Capital Medical University, Beijing Tiantan Hospital, Beijing, China.
Elizabeth BergDivision of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University, New York, New York, USA.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Wei ShenDivision of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University, New York, New York, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Imaging evidence: Is there competition between marrow fat and bone?R21DK082937 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI SHEN, WEI · 2009 to 2010
$446k
Central Obesity and Health Risk: Optimal MRI Measurement & Location in ChildrenR21DK073720 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI SHEN, WEI · 2006 to 2010
$399k
Contribution of Organ Size to Adaptive Thermogenesis during Caloric RestrictionR01AG045761 · NIA · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI SHEN, WEI · 2013 to 2014
$367k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001873NIA NIH HHS R01 AG045761NIDDK NIH HHS P30 DK026687NIDDK NIH HHS R21 DK073720NIDDK NIH HHS R21 DK082937
6 · The paper itself

Abstract

purpose of reviewAbdominal obesity, especially the increase of visceral adipose tissue (VAT), is closely associated with increased mortality related to cardiovascular disease, diabetes, and fatty liver disease. This review provides an overview of the recent advances for abdominal obesity measurement. RECENT

findingsCompared to simple waist circumference, emerging three-dimensional (3D) body-scanning techniques also measure abdominal volume and shape. Abdominal dimension measures have been implemented in bioelectrical impedance analysis to improve accuracy when estimating VAT. Geometrical models have been applied in ultrasound to convert depth measurement into VAT area. Only computed tomography (CT) and MRI can provide direct measures of VAT. Recent advances in imaging allow for evaluating functional aspects of abdominal fat such as brown adipose tissue and fatty acid composition. SUMMARY: Waist circumference is a simple, inexpensive method to measure abdominal obesity. CT and MRI are reference methods for measuring VAT. Further studies are needed to establish the accuracy for dual-energy X-ray absorptiometry in estimating longitudinal changes of VAT. Further studies are needed to establish whether bioelectrical impedance analysis, ultrasound, or 3D body scanning is consistently superior to waist circumference in estimating VAT in different populations.

Indexed as

Absorptiometry, PhotonBody Mass IndexCardiovascular DiseasesDiabetes Mellitus, Type 2Electric ImpedanceHumansIntra-Abdominal FatMagnetic Resonance ImagingObesity, AbdominalTomography, X-Ray ComputedUltrasonographyWaist Circumference

Identifiers

PMID29916924
PMCPMC6299450

What OpenQuestion holds

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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.