Evidence map›Paper›PMID 40144844›Full record

ArticleJHLT open2025

Brain atrophy in heart failure patients following left ventricular assist device implantation or heart transplantation.

D Alan Herbst, Banafsheh Shakibajahromi, Michael V Genuardi, Amit Iyengar, Dawn Mechanic-Hamilton, H Branch Coslett, Pavan Atluri, Christopher G Favilla

Abstract read
In one paragraph

Article in JHLT open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

8 authors.

D Alan HerbstDivision of Cardiothoracic Surgery, University of Pennsylvania, Philadelphia, PA.
Banafsheh ShakibajahromiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
Michael V GenuardiDivision of Cardiology, University of Pennsylvania, Philadelphia, PA.
Amit IyengarDivision of Cardiothoracic Surgery, University of Pennsylvania, Philadelphia, PA.
Dawn Mechanic-HamiltonDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
H Branch CoslettDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.
Pavan AtluriDivision of Cardiothoracic Surgery, University of Pennsylvania, Philadelphia, PA.
Christopher G FavillaDepartment of Neurology, University of Pennsylvania, Philadelphia, PA.

Funding

Optical Monitoring of Cerebral Hemodynamics during Mechanical ThrombectomyK23NS110993 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI FAVILLA, CHRISTOPHER G. · 2019 to 2023
$1.0M
Development of a Mobile Cognitive App for Detecting and Monitoring Change in Preclinical Alzheimer's DiseaseK23AG065499 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MECHANIC-HAMILTON, DAWN J · 2020 to 2024
$884k
NIA NIH HHS K23 AG065499NINDS NIH HHS K23 NS110993
6 · The paper itself

Abstract

Advanced heart failure is associated with accelerated brain atrophy, largely related to chronic cerebral malperfusion. Both heart transplantation (HT) and left ventricular assist device (LVAD) implantation improve vital organ perfusion, but the comparative effect on brain atrophy remains unclear. Given the MR incompatibility of LVADs, we leveraged serial CT imaging in patients who underwent either HT or LVAD implantation. 58 patients were included in this single-center retrospective cohort (23 LVAD; 35 HT). LVAD patients experienced greater brain atrophy (median: 7.1 mL/year; IQR: 0.9-15.7) than transplant patients (median: 0.4 mL/year; IQR: -6.7-13.9), but this difference was non-significant (

Indexed as

Brain atrophyHeart failureHeart transplantLVAD

Identifiers

PMID40144844
PMCPMC11935457

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.