Evidence map›Paper›PMID 36249437›Full record

ArticleJournal of cardiovascular echography

Subclinical Impairment of Left Ventricular Function assessed by Speckle Tracking in Type 2 Diabetic Obese and Non-Obese Patients: Case Control Study.

Hala Gouda Abomandour, Ahmed Mahmoud Elnagar, Mohamed Wafaie Aboleineen, Islam Elsayed Shehata

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In one paragraph

Article in Journal of cardiovascular echography. 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
0.7field-weighted citation impact, top 30% 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.

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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

4 authors at 2 institutions in 1 country.

Hala Gouda AbomandourDepartment of Cardiology, Faculty of Medicine, Zagazig University, Zagazig, Cairo, Egypt.
Ahmed Mahmoud ElnagarDepartment of Cardiology, Ahmed Maher Teaching Hospital, Cairo, Egypt.
Mohamed Wafaie AboleineenDepartment of Cardiology, Faculty of Medicine, Zagazig University, Zagazig, Cairo, Egypt.
Islam Elsayed ShehataDepartment of Cardiology, Faculty of Medicine, Zagazig University, Zagazig, Cairo, Egypt.
Zagazig University · EGResearch Institute of Ophthalmology · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Type 2 diabetes mellitus (DM) and obesity are an independent risk factor for cardiovascular diseases, so early prediction of LV dysfunction carries better prognosis. So our aim was to assess the subclinical LV dysfunction in type 2 diabetic obese and non-obese patients using two-dimensional speckle tracking echocardiography (2DSTE). Materials and Methods: We studied 93 patients, including two groups of 31 each with type 2 diabetes mellitus (T2DM), divided by body mass index (BMI), and 31 non-diabetic non-obese controls. All these subjects underwent two-dimensional Echo (2DE) imaging with analysis of conventional parameters of systolic and diastolic function, as well as speckle tracking echocardiography s (STE) analysis of LV global and regional longitudinal strain. Results: We reported significant inter-group differences in parameters of diastolic function, but no significant differences in ejection fraction or fractional shortening. Nevertheless, we found significant differences in strain, which we interpreted as evidence of subclinical systolic dysfunction. Conclusion: 2DSTE is better than basic echocardiographic measurements in assessment of subclinical LV dysfunction in type 2 diabetic obese and non-obese patients which can be used to predict cardiomyopathic changes in the earlier course of type 2 DM and start earlier treatment with better prognosis.

Indexed as

Diabetes mellitusechocardiographyleft ventriclespeckle trackingstrain

Identifiers

PMID36249437
PMCPMC9558637
OpenAlexW4291964251

What OpenQuestion holds

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Registered trials

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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.