Evidence map›Paper›PMID 39632985›Full record

ReviewNature cardiovascular research2024

New and future heart failure drugs.

Leila Haghighat, Colette DeJong, John R Teerlink

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Mechano-energetic uncoupling in heart failure.Nature reviews. Cardiology · 2025
    Review
  6. Article
  7. Article
  8. 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

3 authors.

Leila Haghighat *Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
Colette DeJong *Section of Cardiology, VA Palo Alto Health Care System and School of Medicine, Stanford University, Palo Alto, CA, USA.
John R TeerlinkSection of Cardiology, San Francisco Veterans Affairs Medical Center and School of Medicine, University of California, San Francisco, San Francisco, CA, USA. john.teerlink@ucsf.edu.ORCID http://orcid.org/0000-0001-9527-0852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, our understanding of heart failure pathophysiology has advanced significantly, resulting in the development of new medications such as angiotensin-neprilysin inhibitors, sodium-glucose cotransporter-2 inhibitors and oral soluble guanylate cyclase stimulators. Backed by positive findings from large randomized controlled trials, recommendations for their use were recently included in the 2022 AHA/ACC/HFSA guidelines and 2023 ESC guidelines for management of heart failure. Promising drugs for future heart failure treatment include agents that modulate the neurohormonal system, vasodilators, anti-inflammatory drugs, mitotropes, which improve deranged energy metabolism of the failing heart, and myotropes, which increase cardiac contractility by affecting cardiac sarcomere function. Here, we discuss these new and future heart failure drugs. We explain their mechanisms of action, critically evaluate their performance in clinical trials and summarize the clinical scenarios in which the latest guidelines recommend their use. This Review aims to offer clinicians and researchers a comprehensive overview of novel therapeutic classes in heart failure treatment.

Indexed as

Cardiovascular AgentsHeart FailureAnimalsHumansSodium-Glucose Transporter 2 InhibitorsSoluble Guanylyl CyclaseTreatment OutcomeCardiovascular AgentsSodium-Glucose Transporter 2 InhibitorsSoluble Guanylyl Cyclase

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.