Evidence map›Paper›PMID 40507711›Full record

ReviewJournal of clinical medicine2025

Now and the Future: Medications Changing the Landscape of Cardiovascular Disease and Heart Failure Management.

Thomas Oswald, Steven Coombs, Susan Ellery, Alexander Liu

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Thomas OswaldSussex Cardiac Centre, Royal Sussex County Hospital, Brighton BN2 5BE, UK.ORCID 0009-0001-6333-058X
Steven CoombsSussex Cardiac Centre, Royal Sussex County Hospital, Brighton BN2 5BE, UK.ORCID 0000-0001-6512-0490
Susan EllerySussex Cardiac Centre, Royal Sussex County Hospital, Brighton BN2 5BE, UK.
Alexander LiuSussex Cardiac Centre, Royal Sussex County Hospital, Brighton BN2 5BE, UK.ORCID 0009-0006-4086-1886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Epidemiological data demonstrate that the overlap between CVD, Type 2 Diabetes (T2DM), chronic kidney disease (CKD) and heart failure (HF) is becoming increasingly apparent, with aging populations making these patient cohorts more difficult to treat. In the last decade, three standout drug classes have emerged with the potential to broaden the treatment options for patients with multi-morbid CVD and heart failure. These are sodium-glucose cotransporter 2 (SGLT2) inhibitors, non-steroidal mineralocorticoid receptor antagonists (MRAs), e.g., Finerenone, and glucagon-like peptide 1 receptor agonists (GLP-1RAs). These medications are now entering UK and European guidelines for the treatment of CVDs including HF whilst crucially providing associated prognostic benefits for patients with T2DM and CKD. The future of these agents for CVD risk stratification may involve primary care at the forefront, alongside tailored, patient-specific medication regimens. This review article aims to discuss these three main drug classes (SGLT2 inhibitors, GLP-1RAs and non-steroidal MRAs) in detail by exploring their current evidence base across heart failure (HF) and CVD management and future clinical implications of their usage as mainstream medical therapies.

Indexed as

cardiovascular diseasesGLP-1 receptor agonistsheart failurenon-steroidal mineralocorticoid receptor antagonistsSGLT2 inhibitors

Identifiers

PMID40507711
PMCPMC12156302

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.