Evidence map›Paper›PMID 25984353›Full record

ArticleBMC obesity2014

Higher BMI is associated with reduced brain volume in heart failure.

Michael L Alosco, Adam M Brickman, Mary Beth Spitznagel, Atul Narkhede, Erica Y Griffith, Naftali Raz, Ronald Cohen, Lawrence H Sweet, Lisa H Colbert, Richard Josephson and 3 more

Open access · hybridAbstract read
In one paragraph

Article in BMC obesity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Distribution of cardiac output to the brain across the adult lifespan.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017
    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

13 authors at 9 institutions in 1 country.

Michael L AloscoDepartment of Psychology, Kent State University, Kent, OH, USA.
Adam M BrickmanTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Mary Beth SpitznagelDepartment of Psychology, Kent State University, Kent, OH, USA ; Department of Psychiatry, Summa Health System, Akron City Hospital, Akron, OH, USA.
Atul NarkhedeTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Erica Y GriffithTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Naftali RazInstitute of Gerontology, Wayne State University, Detroit, MI, USA.
Ronald CohenDepartments of Neurology Psychiatry and the Institute on Aging, Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL 32611, USA.
Lawrence H SweetDepartment of Psychology, University of Georgia, Athens, GA, USA.
Lisa H ColbertDepartment of Kinesiology, University of Wisconsin, Madison, WI, USA.
Richard JosephsonDepartment of Medicine, University Hospitals Case Medical Center, Cleveland, OH, USA ; Harrington Heart & Vascular Institute, Cleveland, OH, USA ; Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Joel HughesDepartment of Psychology, Kent State University, Kent, OH, USA ; Department of Psychiatry, Summa Health System, Akron City Hospital, Akron, OH, USA.
Jim RosneckDepartment of Psychiatry, Summa Health System, Akron City Hospital, Akron, OH, USA.
John GunstadDepartment of Psychology, Kent State University, Kent, OH, USA ; Department of Psychiatry, Summa Health System, Akron City Hospital, Akron, OH, USA.
Columbia University · USSumma Akron City Hospital · USInstitute on Aging · USKent State University · USSumma Health System · USUniversity of Georgia · USUniversity of Wisconsin–Madison · USUniversity School · USWayne State University · US

Funding

Neural Correlates and Modifiers of Cognitive AgingR37AG011230 · NIA · WAYNE STATE UNIVERSITY · PI RAZ, NAFTALI · 2005 to 2014
$5.2M
WISE II - Obesity and Type-2 Diabetes: Bariatric Surgery Effects on Brain FunctionR01DK099334 · NIDDK · UNIVERSITY OF FLORIDA · PI RONALD A COHEN, Eric Porges · 2014 to 2026
$4.6M
Cognitive Benefits of Cardiac Rehabilitation in Heart FailureR01HL089311 · NHLBI · KENT STATE UNIVERSITY · PI GUNSTAD, JOHN J. · 2008 to 2012
$2.6M
White matter hyperintensities in Aging and DementiaR01AG034189 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRICKMAN, ADAM M · 2010 to 2014
$2.0M
Cognitive Effects of Bariatric SurgeryR01DK075119 · NIDDK · KENT STATE UNIVERSITY · PI GUNSTAD, JOHN J. · 2006 to 2009
$1.5M
Extended Effects of Bariatric Surgery on Cognitive FunctionR56DK075119 · NIDDK · KENT STATE UNIVERSITY · PI GUNSTAD, JOHN J. · 2010 to 2010
$296k
NHLBI NIH HHS R01 HL089311NIA NIH HHS R01 AG034189NIA NIH HHS R37 AG011230NIDDK NIH HHS R01 DK075119NIDDK NIH HHS R01 DK099334NIDDK NIH HHS R56 DK075119
6 · The paper itself

Abstract

backgroundHeart failure (HF) patients are at risk for structural brain changes due to cerebral hypoperfusion. Past work shows obesity is linked with reduced cerebral blood flow and associated with brain atrophy in healthy individuals, although its effects on the brain in HF are unclear. This study examined the association among body mass index (BMI), cerebral perfusion, and brain volume in HF patients.

resultsEighty HF patients underwent transcranial Doppler sonography to quantify cerebral blood flow velocity of the middle cerebral artery (CBF-V of the MCA) and brain magnetic resonance imaging (MRI) to quantify total brain, total and subcortical gray matter, white matter volume, and white matter hyperintensities. Body mass index (BMI) operationalized weight status. Nearly 45% of HF patients exhibited a BMI consistent with obesity. Regression analyses adjusting for medical variables, demographic characteristics, and CBF-V of the MCA, showed increased BMI was associated with reduced white matter volume (

conclusionsOur findings suggest increased BMI negatively affects brain volume in HF, and higher BMI interacts with cerebral perfusion to impact gray matter volume. The mechanisms for these findings remain unclear and likely involve multiple physiological processes. Prospective studies are needed to elucidate the exact pattern and rates of brain changes in obese HF persons.

Indexed as

Brain volumeCerebral blood flowHeart failureNeuroimagingObesity

Identifiers

PMID25984353
PMCPMC4431695
OpenAlexW1973487183

What OpenQuestion holds

Textmetadata
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.