Evidence map›Paper›PMID 37974290›Full record

ArticleBMC research notes2023

CHMMOTv1 - cardiac and hepatic multi-echo (T2

Iraj Abedi, Maryam Zamanian, Hamidreza Bolhasani, Milad Jalilian

Abstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Iraj AbediDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam ZamanianDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamidreza BolhasaniDepartment of Computer Engineering, Islamic Azad University Science and Research Branch, Tehran, Iran.
Milad JalilianDepartment of Neuroscience, Neuroimaging and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. mjalilian@razi.tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRegarding deep learning networks in medical sciences for improving diagnosis and treatment purposes and the existence of minimal resources for them, we decided to provide a set of magnetic resonance images of the cardiac and hepatic organs. DATABASE DESCRIPTION: The dataset included 124 patients (67 women and 57 men) with thalassemia (THM), the age range of (5-52) years. Patients were divided into two groups: with follow-up (1-5 times) at time intervals of about (5-6) months and without follow-up. T2* and, R2* values, the results of the Cardiac and Hepatic overload report (normal, mild, moderate, severe), and laboratory tests including Ferritin, Bilirubin (D, and T), AST, ALT, and ALP levels were provided as an Excel file. Also, the details of the patients' Echocardiogram data have been made available. This dataset CHMMOTv1) has been published in Mendeley Dataverse and also is accessible through the web at: http://databiox.com .

Indexed as

beta-ThalassemiaIron OverloadThalassemiaAdolescentAdultChildChild, PreschoolFemaleHeartHumansLiverMagnetic Resonance ImagingMaleMiddle AgedMyocardiumYoung AdultCardiac MRIDatasetHepatic systemIron overloadT2* magnetic resonance imagingThalassemia

Identifiers

PMID37974290
PMCPMC10655257

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.