Evidence mapPaperPMID 38430976Full record

ArticleMagnetic resonance imaging2024

Volumetric brain MRI signatures of heart failure with preserved ejection fraction in the setting of dementia.

Camilo Bermudez, Cailey I Kerley, Karthik Ramadass, Eric H Farber-Eger, Ya-Chen Lin, Hakmook Kang, Warren D Taylor, Quinn S Wells, Bennett A Landman

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
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

9 authors at 2 institutions in 1 country.

Camilo BermudezDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Cailey I KerleyDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Karthik RamadassDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Eric H Farber-EgerDepartment of Cardiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Ya-Chen LinDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Hakmook KangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Warren D TaylorDepartment of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA.
Quinn S WellsDepartment of Cardiology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Bennett A LandmanDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: bennett.landman@vanderbilt.edu.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Genomic and Phenomic Architecture of Heart FailureR01HL140074 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WELLS, QUINN STANTON · 2018 to 2022
$2.0M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
NCATS NIH HHS UL1 TR000445NCRR NIH HHS UL1 RR024975NHLBI NIH HHS R01 HL140074NIBIB NIH HHS R01 EB017230NIBIB NIH HHS T32 EB021937NICHD NIH HHS U54 HD083211NIGMS NIH HHS T32 GM007347NIMH NIH HHS K24 MH110598
6 · The paper itself

Abstract

Heart failure with preserved ejection fraction (HFpEF) is an important, emerging risk factor for dementia, but it is not clear whether HFpEF contributes to a specific pattern of neuroanatomical changes in dementia. A major challenge to studying this is the relative paucity of datasets of patients with dementia, with/without HFpEF, and relevant neuroimaging. We sought to demonstrate the feasibility of using modern data mining tools to create and analyze clinical imaging datasets and identify the neuroanatomical signature of HFpEF-associated dementia. We leveraged the bioinformatics tools at Vanderbilt University Medical Center to identify patients with a diagnosis of dementia with and without comorbid HFpEF using the electronic health record. We identified high resolution, clinically-acquired neuroimaging data on 30 dementia patients with HFpEF (age 76.9 ± 8.12 years, 61% female) as well as 301 age- and sex-matched patients with dementia but without HFpEF to serve as comparators (age 76.2 ± 8.52 years, 60% female). We used automated image processing pipelines to parcellate the brain into 132 structures and quantify their volume. We found six regions with significant atrophy associated with HFpEF: accumbens area, amygdala, posterior insula, anterior orbital gyrus, angular gyrus, and cerebellar white matter. There were no regions with atrophy inversely associated with HFpEF. Patients with dementia and HFpEF have a distinct neuroimaging signature compared to patients with dementia only. Five of the six regions identified in are in the temporo-parietal region of the brain. Future studies should investigate mechanisms of injury associated with cerebrovascular disease leading to subsequent brain atrophy.

Indexed as

DementiaHeart FailureAgedAged, 80 and overAtrophyBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingStroke VolumeVentricular Function, LeftClinical imagingData miningDementiaElectronic health recordHeart failureMagnetic resonance imaging

Identifiers

PMID38430976
PMCPMC11969415
OpenAlexW4392303383

What Socratic 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 Socratic graph.