Evidence map›Paper›PMID 24957486›Full record

ArticleInternational journal of obesity (2005)2015

Is obesity predictive of cardiovascular dysfunction independent of cardiovascular risk factors?

E DeVallance, S B Fournier, D A Donley, D E Bonner, K Lee, J C Frisbee, P D Chantler

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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

11 citing papers in PubMed, 29 citations in OpenAlex.

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  11. Distinct temporal phases of microvascular rarefaction in skeletal muscle of obese Zucker rats.American journal of physiology. Heart and circulatory physiology · 2014
    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 1 institution in 1 country.

E DeVallance1] Division of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA [2] Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, USA.
S B Fournier1] Division of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA [2] Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, USA.
D A DonleyDivision of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA.
D E BonnerDivision of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA.
K LeeDivision of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA.
J C Frisbee1] Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, USA [2] Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, WV, USA.
P D Chantler1] Division of Exercise Physiology, School of Medicine, West Virginia University, Morgantown, WV, USA [2] Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, USA.
West Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Research Training in Cardiovascular and Pulmonary DiseasesT32HL090610 · NHLBI · WEST VIRGINIA UNIVERSITY · PI MUSTAFA, S. JAMAL · 2008 to 2012
$1.5M
NHLBI NIH HHS T32 HL090610NHLBI NIH HHS T32- HL090610NIGMS NIH HHS U54 GM104942NIGMS NIH HHS U54GM104942
6 · The paper itself

Abstract

introductionObesity is thought to exert detrimental effects on the cardiovascular (CV) system. However, this relationship is impacted by the co-occurrence of CV risk factors, type 2 diabetes (T2DM) and overt disease. We examined the relationships between obesity, assessed by body mass index (BMI) and waist circumference (WC), and CV function in 102 subjects without overt CV disease. We hypothesized that obesity would be independently predictive of CV remodeling and functional differences, especially at peak exercise.

methodsBrachial (bSBP) and central (cSBP) systolic pressure, carotid-to-femoral pulse wave velocity (PWVcf) augmentation index (AGI; by SphygmoCor), and carotid remodeling (B-mode ultrasound) were examined at rest. Further, peak exercise cardiac imaging (Doppler ultrasound) was performed to measure the coupling between the heart and arterial system.

resultsIn backward elimination regression models, accounting for CV risk factors, neither BMI nor WC were predictors of carotid thickness or PWVcf; rather age, triglycerides and hypertension were the main determinants. However, BMI and WC predicted carotid cross-sectional area and lumen diameter. When examining the relationship between body size and SBP, BMI (β=0.32) and WC (β=0.25) were predictors of bSBP (P<0.05), whereas, BMI was the only predictor of cSBP (β=0.22, P<0.05) indicating a differential relationship between cSBP, bSBP and body size. Further, BMI (β=-0.26) and WC (β=-0.27) were independent predictors of AGI (P<0.05). As for resting cardiac diastolic function, WC seemed to be a better predictor than BMI. However, both BMI and WC were inversely and independently related to arterial-elastance (net arterial load) and end-systolic elastance (cardiac contractility) at rest and peak exercise.

conclusionThese findings illustrate that obesity, without T2DM and overt CV disease, and after accounting for CV risk factors, is susceptible to pathophysiological adaptations that may predispose individuals to an increased risk of CV events.

Indexed as

AdultBlood PressureCardiovascular DiseasesComorbidityCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic AngiopathiesFemaleHumansHypertensionMaleMiddle AgedObesityPrognosisRisk FactorsTriglyceridesTriglycerides

Identifiers

PMID24957486
PMCPMC4559848
OpenAlexW2080875397

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.