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.
This cross-sectional meta-research analysis of 5,851 hypertension trials on ClinicalTrials.gov reveals that timely results reporting remains uncommon (9.1%), with compliance significantly higher only among studies meeting observable regulatory obligations, particularly those involving US sites.
This systematic review and meta-analysis of three randomized controlled trials demonstrates that adding PCSK9 inhibitors to standard lipid-lowering therapy significantly reduces LDL-C levels in children and adolescents with heterozygous familial hypercholesterolaemia without compromising safety, though further long-term studies are needed to confirm sustained effectiveness and safety.
This population-based cohort study reveals that aggregated ethnic categories mask significant sex-specific disparities in premature coronary artery disease risk across South Asian and Black subgroups in England, with Bangladeshi men facing the highest risk and current screening programs starting too late to effectively target these high-risk groups.
This study demonstrates that DNA methylation risk scores derived from stress-related epigenetic signatures in postmenopausal women serve as novel biomarkers that predict incident coronary heart disease and mediate a significant portion of the stress-disease association, with monocytes identified as a key cellular mechanism.
This Vietnamese multicenter cohort study demonstrates that a lower hemoglobin-to-red cell distribution width ratio (HRR) is an independent, cost-effective predictor of increased three-year major adverse cardiovascular events in post-percutaneous coronary intervention patients, outperforming other inflammatory indices in resource-limited settings.
This study identified four reproducible latent phenotypes of longitudinal electronic health record contact among hypertensive patients, but found that these trajectories were significantly influenced by administrative censoring and showed only weak associations with blood pressure control after adjustment, despite stronger links to treatment documentation.
This systematic review and meta-analysis of 7,119 patients found that while staged percutaneous coronary intervention (PCI) prior to transcatheter aortic valve replacement (TAVR) does not significantly reduce the overall risk of contrast-induced acute kidney injury compared to concomitant PCI, it may offer a protective benefit against severe (stage 3/4) kidney injury.
This UK-based study reveals that South Asian and African/African Caribbean women lack the protective advantage against coronary heart disease seen in European women, a disparity largely driven by a higher burden of cardiometabolic risk factors such as diabetes and hypercholesterolemia.
This cross-sectional study in urban Haiti found that moderate-to-severe depressive symptoms are independently associated with a higher prevalence of cardiovascular disease, with the association appearing stronger in women despite limited statistical evidence for sex-based effect modification.
This study utilized unsupervised machine learning on multimodal data, including AI-assisted cardiac MRI, to identify three distinct prognostic phenotypes in non-ischemic dilated cardiomyopathy patients, revealing unique remodeling trajectories and risk profiles that could facilitate more individualized management.