ReviewFrontiers in cardiovascular medicine2026
Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis.
Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Left atrial myopathy predicts cardiovascular outcome in hypertension and diabetes.The international journal of cardiovascular imaging · 2026Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Early identification of new-onset atrial fibrillation (NOAF) is crucial for preventing related complications. Left atrial strain parameters (LASPs), evaluated by speckle tracking echocardiography, are considered promising markers reflecting atrial cardiomyopathy and functional abnormalities. Therefore, this study aimed to quantitatively evaluate the predictive value of LASPs for NOAF through a systematic review and meta-analysis. Methods: The Cochrane Library, Embase, PubMed, and Web of Science were retrieved up to July 30, 2025, for cohort, case-control, and cross-sectional investigations evaluating the correlation of peak atrial longitudinal strain (PALS), left atrial reservoir strain (LASr), left atrial conduit strain (LAScd), left atrial systolic strain (LASct), and peak atrial contraction strain (PACS) with the risk of NOAF. Random-effects models were employed to pool risk ratios (RR) and diagnostic performance metrics. Sensitivity analyses and Egger's test were applied to verify the stability of prognostic outcomes and publication bias, respectively. Subgroup and meta-regression analyses were conducted for multiple confounders. A summary receiver operating characteristic (SROC) curve was plotted, and the area under the curve (AUC) was computed. Results: Thirty-nine studies involving 20,681 subjects were incorporated. Meta-analyses revealed that low levels of PALS [RR (95% CI): 3.95 (1.57-9.92)], LASr [3.73 (2.34-5.96)], LAScd [2.26 (1.22-4.19)], and LASct [6.54 (2.25-19.0)] as dichotomous variables were associated with a higher risk of NOAF. As continuous variables, a one-unit decrease in PALS, PACS, LASr, LAScd, and LASct was independently associated with an elevated risk of NOAF (all Conclusion: LASPs exhibit significant diagnostic value for NOAF. They can be utilized in clinical practice to evaluate and predict the risk of NOAF. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251044556.
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