ReviewCardiovascular research2024
Cardiorenal interactions in heart failure: insights from recent therapeutic advances.
Review in Cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Kidney Disease and Heart Failure: Recent Advances and Current Challenges: Conclusions From a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.JACC. Heart failure · 2026Guideline
- Decoding cardiorenal crosstalk: Intercellular communication mechanisms and therapeutic insights in cardiorenal syndrome.iScience · 2026Review
- The role of ventricular remodeling in the early decompensation of cardiorenal syndrome: Insight from studies with Ren-2 transgenic hypertensive rats subjected to volume overload induced using aorto-caval fistula.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Real-World Use of ARNI Within GDMT in HFrEF Patients with and Without Atrial Fibrillation: A Retrospective Analysis of Cardiac and Renal Functions and Clinical Outcomes.Journal of cardiovascular development and disease · 2025Article
- Renal-Cardiac Crosstalk in the Pathogenesis and Progression of Heart Failure.Circulation research · 2025Review
- How to Enhance Cardiorenal Benefits in Patients With Chronic Heart Failure?International journal of heart failure · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart failure is a syndrome that may develop when cardiovascular disease progresses or is insufficiently treated and associated with a poor quality of life, high mortality rates, and increased healthcare expenditures. Prevention and treatment of heart failure are therefore of utmost importance. New therapies in patients with cardiovascular disease have recently been shown to be effective in the prevention and sometimes treatment of heart failure, and additional research is underway. Specifically, in high-risk patients with either (a combination of) diabetes, chronic kidney disease, and/or heart failure, three specific drug classes [sodium-glucose co-transporter 2 inhibitors (SGLT2i), glucagon-like peptide 1 receptor agonists (GLP-1-RAs), and non-steroidal mineralocorticoid receptor antagonists (MRAs)] have taken centre stage in therapeutic approach for these high cardiovascular risk patients. The commonality of these drugs is the finding that they improve cardiovascular and renal endpoints across the cardiorenal continuum and SGTL2i have already proved effective in all subtypes of heart failure, while we await data on non-steroidal MRA therapy in heart failure. The story may be different for GLP-1-RA in patients with established heart failure, but these drugs are effective in reducing cardiovascular events in patients with diabetes. Taken together, these new therapies advance the treatment and improve the associated outcomes of patients with cardiorenal disease and diabetes, with similar characteristics and effectiveness in different conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.