Evidence map›Paper›PMID 32309585›Full record

ArticleDiscoveries (Craiova, Romania)2016

Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction.

Adelina Curaj, Lucian Pop-Fele, Marko Jovanovic, Stephan Michael Jonas, Julia Moellmann, Doina Ghertescu, Ovidiu Constantin Novac, Mihaela Rusu, Elisa A Liehn

Open access · hybridAbstract read
In one paragraph

Article in Discoveries (Craiova, Romania), 2016. 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
0.4field-weighted citation impact, top 29% 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, 5 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 2 countries.

Adelina CurajInstitute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University, Germany.
Lucian Pop-FeleInstitute for Molecular Cardiovascular Research, University Hospital, RWTH Aachen, Germany.
Marko JovanovicDepartment of Medical Informatics, RWTH Aachen, Germany.
Stephan Michael JonasDepartment of Medical Informatics, RWTH Aachen, Germany.
Julia MoellmannDepartment of Cardiology and Pulmonology, Medical Faculty, RWTH Aachen University, Germany.
Doina GhertescuCardiology Department, University of Medicine and Pharmacy, Targu Mures, Romania.
Ovidiu Constantin NovacFaculty of Electrical Engineering and Information Technology, University of Oradea, Oradea, Romania.
Mihaela RusuInstitute for Molecular Cardiovascular Research, University Hospital, RWTH Aachen, Germany.
Elisa A LiehnInstitute for Molecular Cardiovascular Research, University Hospital, RWTH Aachen, Germany.
RWTH Aachen University · DEUniversity of Oradea · ROUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction represents the most investigated pathology. Heart tissues are histologically assayed on a routine base in clinical laboratories. However, the lack of a standard operation procedure for e.g. calculating the size of the infarcted area of myocardium, may lead to an increased errors' interval, with little correlation between results of a same tissue and/or with other pathophysiological parameters. This creates a clear barrier for further development of novel therapeutic strategies. In the present study, we present the robust applicability of a novel methodology such as: advanced modular automated calculation of (i) the size of infarcted heart of mice, (ii) the net collagen content present in the scar, and (iii) the interstitial fibrosis in remote, which are simultaneously performed. The new approach of defining the infarct size, one of the important predictor of every cardiac therapeutic intervention, will create a positive impact in the research accuracy. Additionally, it will be expected that the readily assembled reports of simultaneously computed parameters and its user-friendly operation allow an efficient and effective estimation of measurements.

Indexed as

3D reconstructionAdvanced modular automated calculationinfarction size estimationmyocardial infarction

Identifiers

PMID32309585
PMCPMC6941562
OpenAlexW2527784570

What OpenQuestion holds

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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.