When the Liver Echoes to the Heart: Assessing Subclinical Cardiac Dysfunction in NAFLD Using Speckle Tracking Echocardiography—A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.024 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".