Evidence map›Paper›PMID 40642673›Full record

ArticleCureus2025

Usefulness of Two-Dimensional Speckle-Tracking Echocardiography in Detecting Subclinical Left Ventricular Systolic Dysfunction in Diabetes Mellitus.

Loay Ahmed Khair, Samah Ali, Murouj Alansari

Abstract read
In one paragraph

Article in Cureus, 2025. 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

3 authors.

Loay Ahmed KhairInternal Medicine/Cardiology, Security Forces Hospital, Makkah, SAU.
Samah AliInternal Medicine/Cardiology, Security Forces Hospital, Makkah, SAU.
Murouj AlansariInternal Medicine/Cardiology, Security Forces Hospital, Makkah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate left ventricular (LV) systolic function in asymptomatic patients with diabetes compared to a normal population using global longitudinal strain (GLS) measured by two-dimensional speckle-tracking echocardiography (2DSTE). Impaired LV systolic function was defined as GLS <-18%. Data were analyzed from two groups: a normal cohort (n=57) and a diabetic cohort (n=50). In the normal group, the mean GLS was -20.1%, with 16% of individuals exhibiting impaired LV systolic function. In contrast, the diabetic group demonstrated a significantly lower mean GLS of -17.3%, with 37% showing impaired function, suggesting subclinical myocardial dysfunction in asymptomatic patients with diabetes. Correlation analysis within the diabetic group revealed a moderate negative correlation between GLS and duration of diabetes (r=-0.42, p<0.05), glycated hemoglobin levels (r=-0.35, p<0.05), and low-density lipoprotein cholesterol levels (r=-0.28, p<0.05), indicating that prolonged disease duration and poorer glycemic control are associated with reduced LV systolic function. Further analysis of the normal group revealed no significant gender differences in GLS (p=0.12 ), but age stratification showed a trend toward declining GLS with advancing age (p=0.04 ). These findings underscore the utility of GLS as an early marker of LV dysfunction in asymptomatic patients with diabetes and highlight the influence of age on cardiac function in healthy individuals. Future studies should focus on larger cohorts to validate these results and explore therapeutic interventions to mitigate subclinical cardiac dysfunction in diabetic populations.

Indexed as

diabetes mellitusdiabetic cardiomyopathyglobal longitudinal strainglycemic controlspeckle tracking echocardiographysubclinical lv dysfunction

Identifiers

PMID40642673
PMCPMC12244792

What Socratic 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 Socratic graph.