📄 Category

cardiovascular medicine

131 papers

Cardiovascular medicine focuses on the heart and blood vessels, exploring how to prevent, diagnose, and treat conditions that affect our circulation. This vital field ranges from understanding high blood pressure and heart failure to investigating the latest breakthroughs in surgical techniques and lifestyle interventions. Because these discoveries directly impact public health, staying informed about emerging research is more important than ever for both specialists and curious readers.

At Gist.Science, we process every new preprint in this category as it appears on medRxiv, ensuring you have immediate access to the latest findings before they undergo formal peer review. For each study, we provide both a plain-language explanation to clarify the core concepts and a detailed technical summary for those seeking deeper scientific context. Below are the latest papers in cardiovascular medicine, organized to help you navigate the most recent developments shaping the future of heart health.

📄 cardiovascular medicine

Glucagon-Like Peptide-1 Receptor Agonists Across the Heart Failure Spectrum: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis of 14 trials involving 18,558 patients indicates that while GLP-1 receptor agonists significantly improve quality of life, functional capacity, and all-cause mortality in heart failure patients (particularly those with HFpEF and obesity), they did not significantly reduce the composite of cardiovascular death and heart failure hospitalization, with mortality benefits appearing driven by cardiovascular outcomes trial subgroups rather than dedicated heart failure trials.

Ferreira, V. M., Muller, V. A.2026-03-24
📄 cardiovascular medicine

Effects of Genetically-Proxied Antihypertensive Drug Targets on Preeclampsia and Birth Weight

This drug-target Mendelian randomization study suggests that while genetically proxied inhibition of calcium channel blockers may reduce preeclampsia risk without harming fetal growth, beta-blocker inhibition is unlikely to prevent preeclampsia and is associated with reduced birth weight primarily through direct fetal mechanisms, supporting the prioritization of calcium channel blockers for preeclampsia prevention trials.

Ardissino, M., Morley, A. P., Richards, E. M. F., Zollner, J., Truong, B., Williamson, C., Honigberg, M. C., Ware, J., N (…)2026-03-23
📄 cardiovascular medicine

Sodium-Glucose Cotransporter 2 Inhibitors in Heart Failure with Preserved Ejection Fraction: A Systematic Review and Meta-Analysis with Trial Sequential Analysis

This systematic review and meta-analysis of 59 randomized controlled trials demonstrates that SGLT2 inhibitors significantly reduce all-cause mortality and heart failure hospitalizations across the full spectrum of heart failure, supporting their role as a foundational therapy despite an increased risk of genital infections.

Ferreira, V. M., Muller, V. A.2026-03-18
📄 cardiovascular medicine

CARDIAC-FM: A Multimodal Foundation Model for Cardiovascular Risk Prediction Using ECG and Cardiac MRI

CARDIAC-FM is a multimodal foundation model trained on paired ECG and cardiac MRI data from the UK Biobank that achieves superior, generalizable cardiovascular risk prediction across diverse cohorts by learning joint representations, while remaining deployable in clinical settings using only ECG and standard risk scores.

Li, F., Li, S., Qian, Y., Chen, B., Brody, J. A., Yogeswaran, V., Wiggins, K. L., Sitlani, C. M., Bis, J. C., Shojaie, A (…)2026-03-18
📄 cardiovascular medicine

Aficamten in Patients With Obstructive Hypertrophic Cardiomyopathy: An Integrated Safety Analysis

This integrated safety analysis of nearly 700 patient-years across four clinical trials demonstrates that aficamten is well tolerated with a favorable safety profile in patients with obstructive hypertrophic cardiomyopathy, showing low rates of clinically relevant systolic dysfunction and atrial fibrillation comparable to placebo or metoprolol.

Masri, A., Maron, M. S., Barriales-Villa, R., Cooper, R. M., Elliott, P. M., Fifer, M. A., Garcia-Pavia, P., Owens, A. T (…)2026-03-12
📄 cardiovascular medicine

An Updated Evidence Assessment of the Genetic Causes of Dilated Cardiomyopathy

The ClinGen Dilated Cardiomyopathy Gene Curation Expert Panel's 2024-2025 reassessment significantly expanded the known genetic architecture of DCM by classifying 35 gene-disease relationships as high evidence, including 11 newly identified autosomal recessive genes, thereby providing an updated, evidence-based framework to guide clinical genetic testing and care.

Jordan, E., Grover, P., Parker, P. K., Cowan, J. R., Asatryan, B., Ai, T., Berthold, A., Bronicki, L., Brown, E., Celegh (…)2026-03-10
📄 cardiovascular medicine

Cross-cohort insights into the association of handgrip strength transitions and burdens with cardiovascular disease risk

This multi-cohort study demonstrates that longitudinal transitions and cumulative burdens of handgrip strength are stronger predictors of incident cardiovascular disease risk than single baseline measurements, particularly in East Asian populations, highlighting the clinical value of monitoring dynamic changes in muscle strength for CVD prevention.

Lin, H., zeng, p.2026-03-09
📄 cardiovascular medicine

Risk-benefit profile of edoxaban and warfarin in patients with atrial fibrillation: a comprehensive systematic review and meta-analysis of randomized trials

This systematic review and meta-analysis of five randomized trials indicates that while edoxaban generally offers superior efficacy in reducing stroke and major adverse cardiovascular events compared to warfarin, warfarin remains a critical alternative for specific high-risk subgroups, including patients with prior myocardial infarction, high CHA2DS2-VASc scores, and certain heart failure profiles.

Sohail, M. A., Moghis, A., Imran, M. W., Khalid, M., Nawaz, S. S., Akram, M. H., Khan, A. A.2026-03-07
📄 cardiovascular medicine

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data

This paper introduces DIA-PINN, a physics-informed neural network framework that accurately and robustly estimates global intrinsic diastolic properties of the left ventricle from instantaneous pressure-volume data, outperforming traditional optimization methods by providing reliable, initialization-insensitive estimates of stiffness, relaxation, and elastic recoil.

Fernandez Topham, J., Guerrero Hurtado, M., del Alamo, J. C., Bermejo, J., Martinez Legazpi, P.2026-03-06