SynthesisFrontiers in medicine2026
Predictive accuracy of left atrial strain parameters for risk of atrial fibrillation recurrence: a systematic review and meta-analysis.
Synthesis in Frontiers in 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 strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Clinical evidence, in recent years, has increased regarding the application of left atrial strain parameters for the prediction of atrial fibrillation (AF) recurrence. This study endeavors to assess the predictive power of these parameters for AF recurrence. Methods: We systematically searched Cochrane Library, Embase, PubMed, and Web of Science from inception to October 20, 2025, for cohort studies investigating the association between AF recurrence and various left atrial strain parameters, including peak atrial longitudinal strain (PALS, P-wave-triggered), left atrial reservoir strain (LASr, R-wave-triggered), left atrial conduit strain (LAScd), and left atrial contraction strain (LASct). A random-effects model was used to pool risk ratios (RRs) and predictive performance metrics. Sensitivity analysis, publication bias assessment, and subgroup analysis were performed. Results: Totally 25 studies covering 3,649 patients were included. The meta-analysis indicated that PALS and LASr measured before treatment were effective predictors for AF recurrence. Analyzed as categorical variables, both a higher PALS (RR = 0.08, 95% CI: 0.04-0.16) and a higher LASr (RR = 0.91, 95% CI: 0.86-0.96) were linked to a significantly lower risk of AF relapse. Treated as continuous variables, a 1-unit increase in PALS (RR = 0.88, 95% CI: 0.85-0.91) or LASr (RR = 0.93, 95% CI: 0.88-0.99) was associated with a pronounced lower risk of AF recurrence. The pooled AUC values for PALS and LASr were 0.75 and 0.78, respectively. The predictive power of other parameters was limited or unclear: LASct and LAScd measured before treatment, as well as LASr measured after treatment (either as a categorical variable or a continuous variable), failed to show significant predictive power (all Conclusion: This study suggests that lower PALS and LASr values are associated with a higher risk of AF recurrence. In addition, PALS and LASr shows relatively favorable predictive performance for AF recurrence. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251182805, identifier: CRD420251182805.
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