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Record W4416764344 · doi:10.3390/biomedicines13122908

When the Liver Echoes to the Heart: Assessing Subclinical Cardiac Dysfunction in NAFLD Using Speckle Tracking Echocardiography—A Systematic Review and Meta-Analysis

2025· article· en· W4416764344 on OpenAlexaboutno aff
Malaz Almasri, Rania Abdulredha, Iulia Tecar, Daniel‐Corneliu Leucuta, Stefan‐Lucian Popa, Dan L. Dumitrascu, Abdulrahman Ismaiel

Bibliographic record

VenueBiomedicines · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsEjection fractionSubclinical infectionDiabetes mellitusDiabetic cardiomyopathyFatty liverSpeckle tracking echocardiographySteatosisConcomitant

Abstract

fetched live from OpenAlex

Introduction: Worldwide, non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disorder, strongly associated with increased cardiovascular morbidity and mortality. Although patients have a preserved left ventricular ejection fraction (LVEF), individuals having NAFLD may demonstrate subclinical cardiac dysfunction. Speckle tracking echocardiography (STE) enables a more sensitive evaluation, identifying even subtle alterations of myocardial strain, compared to conventional LVEF measurements. This systematic review and meta-analysis sought to examine the relationship between NAFLD and subclinical left ventricular systolic impairment, utilizing STE-derived strain parameters. Methods: A comprehensive search of the literature was undertaken using PubMed, EMBASE, and Scopus. Observational studies evaluating patients with NAFLD through STE-derived myocardial strain parameters were included. Study quality was appraised using the Newcastle-Ottawa Scale. The primary outcomes were the mean differences (MD) in global longitudinal strain (GLS), global circumferential strain (GCS), global radial strain (GRS), global area strain (GAS), and related strain rate indices between NAFLD spectrum patients and controls. Results: A total of sixteen studies, comprising 8359 participants, were included in the analysis. Compared to controls, patients with NAFLD demonstrated significant reductions in GLS (MD: −2.043; 95% CI: −2.868, −1.218), GAS (MD: −3.706; 95% CI: −4.999, −2.413), and GCS (MD: −1.415; 95% CI: −2.893, 0.064). These reductions were more substantial among individuals with moderate to severe NAFLD and those with concomitant type 2 diabetes mellitus (GLS MD: −4.385; 95% CI: −5.400, −3.369 in diabetic NAFLD vs. diabetic controls). Subgroup analysis further revealed a progressive deterioration in strain parameters from simple steatosis to more severe NAFLD. Notably, LVEF remained preserved in all groups, highlighting the subclinical nature of this dysfunction. Conclusions: This meta-analysis verifies the presence of subclinical left ventricular systolic dysfunction in individuals with NAFLD, which is identifiable by STE despite preserved LVEF. Myocardial strain metrics, particularly GLS, serve as sensitive early markers of myocardial impairment. Routine application of STE in the clinical assessment of NAFLD may support earlier cardiovascular risk detection and timely intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.347
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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