Evidence map›Paper›PMID 37760890›Full record

ArticleBiomedicines2023

Novel Noninvasive Paraclinical Study Method for Investigation of Liver Diseases.

Nina Gyorfi, Adrian Robert Gal, Andras Fincsur, Karoly Kalmar-Nagy, Kitti Mintal, Edina Hormay, Attila Miseta, Tamas Tornoczky, Anita Katalin Nemeth, Peter Bogner and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2023. 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
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

20 authors at 2 institutions in 1 country.

Nina GyorfiMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Adrian Robert GalMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Andras FincsurDepartment of Pathology, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Karoly Kalmar-NagyDepartment of Surgery, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Kitti MintalMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Edina HormayMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Attila MisetaDepartment of Laboratory Medicine, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Tamas TornoczkyDepartment of Pathology, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Anita Katalin NemethDepartment of Medical Imaging, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Peter BognerDepartment of Medical Imaging, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Tamas KissDepartment of Pharmacology and Pharmacotherapy, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Zsuzsanna HelyesDepartment of Pharmacology and Pharmacotherapy, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Zoltan SariMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Mihaly KlincsikMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Vladimir TadicSymbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 6, H-7624 Pecs, Hungary.ORCID 0000-0002-8796-6822
Laszlo LenardMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Andras VereczkeiDepartment of Surgery, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary.
Zoltan KaradiMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
Zoltan VizvariMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.ORCID 0000-0003-0313-9959
Attila TothMedical and Engineering Multidisciplinary Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag Str. 20, H-7624 Pecs, Hungary.
University of Pecs · HUObuda University · HU

Funding

University of Pecs 009_2023_PTE_RK/27University of Pecs 011_2023_PTE_RK/4
6 · The paper itself

Abstract

Based on a prior university patent, the authors developed a novel type of bioimpedance-based test method to noninvasively detect nonalcoholic fatty liver disease (NAFLD). The development of a new potential NAFLD diagnostic procedure may help to understand the underlying mechanisms between NAFLD and severe liver diseases with a painless and easy-to-use paraclinical examination method, including the additional function to detect even the earlier stages of liver disease. The aim of this study is to present new results and the experiences gathered in relation to NAFLD progress during animal model and human clinical trials.

Indexed as

bioelectrical impedance spectroscopyclinical studyhepatic steatosislow-frequency measurementNAFLDnoninvasive measurementvalidationWistar

Identifiers

PMID37760890
PMCPMC10525796
OpenAlexW4386417795

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.