Evidence map›Paper›PMID 24811003›Full record

ArticleTranslational research : the journal of laboratory and clinical medicine2014

Adiposity distribution influences circulating adiponectin levels.

Mitchell Guenther, Roland James, Jacqueline Marks, Shi Zhao, Aniko Szabo, Srividya Kidambi

Open access · greenAbstract read
In one paragraph

Article in Translational research : the journal of laboratory and clinical medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Mitchell GuentherDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
Roland JamesDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
Jacqueline MarksDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
Shi ZhaoInstitute of Health and Society, Medical College of Wisconsin, Milwaukee, Wisconsin.
Aniko SzaboInstitute of Health and Society, Medical College of Wisconsin, Milwaukee, Wisconsin.
Srividya KidambiDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin. Electronic address: skidambi@mcw.edu.
Medical College of Wisconsin · US

Funding

Clincal and Translational Science AwardUL1TR000055 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI SHAKER, REZA NONE · 2012 to 2015
$11.3M
Candidate Genes Affecting Adolescent Metabolic SyndromeR01DK071895 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI SILVERSTEIN, ROY L · 2007 to 2011
$3.0M
Positional Candidate Genes Affecting Metabolic SyndromeR01DK065598 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI KISSEBAH, AHMED HAMED · 2003 to 2007
$2.7M
NCATS NIH HHS 8UL1TR000055NCATS NIH HHS UL1 TR000055NIDDK NIH HHS DK071895-03NIDDK NIH HHS DK65598-01NIDDK NIH HHS R01 DK065598NIDDK NIH HHS R01 DK071895
6 · The paper itself

Abstract

Thirty percent of obese individuals are metabolically healthy and were noted to have increased peripheral obesity. Adipose tissue is the primary source of adiponectin, an adipokine with insulin-sensitizing and anti-inflammatory properties. Lower adiponectin levels are observed in individuals with obesity and those at risk for cardiovascular disease. Conversely, higher levels are noted in some obese individuals who are metabolically healthy. Our objective was to determine whether abdominal adiposity distribution, rather than body mass index (BMI) status, influences plasma adiponectin level. A total of 424 subjects (female, 255) of Northern European ancestry were recruited from "Take Off Pounds Sensibly" weight loss club members. Demographics, anthropometrics, and dual-emission x-ray absorptiometry of the whole body, and computed tomography scan of the abdomen were performed to obtain total body fat content and to quantify subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT), respectively. Laboratory measurements included fasting plasma glucose, insulin, lipid panel, and adiponectin. Age- and gender-adjusted correlation analyses showed that adiponectin levels were negatively correlated with BMI, waist circumference, triglycerides, total fat mass, and VAT. A positive correlation was noted with high-density lipoprotein cholesterol and fat-free mass (P < 0.05). SAT-to-VAT ratios were also significantly associated with adiponectin (r = 0.13, P = 0.001). Further, the best positive predictors for plasma adiponectin were found to be SAT-to-VAT ratios and gender by regression analyses (P < 0.01). Abdominal adiposity distribution is an important predictor of plasma adiponectin and obese individuals with higher SAT-to-VAT ratios may have higher adiponectin levels.

Indexed as

AdiponectinAdiposityAdultAgingBody Mass IndexFemaleHumansMaleMiddle AgedSex FactorsTriglyceridesAdiponectinTriglycerides

Identifiers

PMID24811003
PMCPMC4595044
OpenAlexW2081752944

What OpenQuestion holds

Textmetadata
LicenceTDM
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.