Evidence map›Paper›PMID 38572151›Full record

ArticleFrontiers in neuroscience2024

Diffusion of brain metabolites highlights altered brain microstructure in type C hepatic encephalopathy: a 9.4 T preliminary study.

Jessie Mosso, Guillaume Briand, Katarzyna Pierzchala, Dunja Simicic, Alejandra Sierra, Ali Abdollahzadeh, Ileana O Jelescu, Cristina Cudalbu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 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

8 authors at 5 institutions in 3 countries.

Jessie Mosso *CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Guillaume Briand *CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Katarzyna PierzchalaCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Dunja SimicicCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Alejandra SierraA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Ali AbdollahzadehCenter for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
Ileana O JelescuDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Cristina CudalbuCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Centre d'Imagerie BioMedicale · CHÉcole Polytechnique Fédérale de Lausanne · CHNew York University · USUniversity Hospital of Lausanne · CHUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Type C hepatic encephalopathy (HE) is a decompensating event of chronic liver disease leading to severe motor and cognitive impairment. The progression of type C HE is associated with changes in brain metabolite concentrations measured by Methods: The bile duct-ligated (BDL) rat model of type C HE was used. Five animals were scanned before surgery and 6- to 7-week post-BDL surgery, with each animal being used as its own control. Results: The characteristic Discussion: dMRS enables non-invasive and longitudinal monitoring of the diffusion behavior of brain metabolites, reflecting in the present study the globally altered brain microstructure in BDL rats, as confirmed

Indexed as

bile duct ligationbrain metabolismdiffusion-weighted magnetic resonance spectroscopyhepatic encephalopathyin vivo magnetic resonance spectroscopyrat brainultra high magnetic field

Identifiers

PMID38572151
PMCPMC10987698
OpenAlexW4393014090

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.