Evidence map›Paper›PMID 40519717›Full record

ReviewInternational journal of heart failure2025

How to Enhance Cardiorenal Benefits in Patients With Chronic Heart Failure?

Toshihide Izumida, Koichiro Kinugawa

Abstract readReview
In one paragraph

Review in International journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Toshihide IzumidaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0003-2703-2523
Koichiro KinugawaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0003-0009-8477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic heart failure (CHF) is frequently complicated by chronic kidney disease (CKD), a comorbidity that profoundly influences disease progression, therapeutic decision-making, and clinical outcomes. The management of CHF in patients with advanced CKD presents substantial challenges, often requiring dose adjustments or even discontinuation of standard therapies. Effective therapeutic strategies must prioritize cardiorenal protection during the early stages of disease progression. Recent advancements in pharmacotherapy, including angiotensin receptor-neprilysin inhibitors, sodium-glucose cotransporter 2 inhibitors, non-steroidal mineralocorticoid receptor antagonists, and glucagon-like peptide-1 receptor agonists, have demonstrated remarkable dual cardiorenal protective effects. These therapies not only reduce the risk of de novo heart failure in high-risk populations and improve clinical outcomes in CHF patients, but also slow the progression of renal dysfunction by targeting critical pathophysiological processes, such as glomerular hyperfiltration, inflammation, ischemia, and endothelial dysfunction. Although transient declines in estimated glomerular filtration rate may occur upon initiating these agents, renal function typically stabilizes over time, facilitating sustained clinical benefits, particularly in patients with diabetes mellitus, albuminuric CKD, and CHF. This review focuses on the latest advancements in heart failure pharmacotherapy, emphasizing the cardiorenal protective mechanisms and clinical efficacy of novel therapeutic agents. It underscores the importance of bridging knowledge gaps and personalizing therapy to enhance cardiorenal benefits avoiding adverse effects.

Indexed as

CardiologyCardio-renal syndromeCardiovascular diseasesHeart failureRandomized controlled trial

Identifiers

PMID40519717
PMCPMC12160049

What OpenQuestion holds

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Registered trials

None linked

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.