Evidence mapPaperPMID 40869365Full record

ReviewInternational journal of molecular sciences2025

Biomarkers in Heart Failure: A Review and a Wish.

Laura Asta, Calogera Pisano, Adriana Sbrigata, Giuseppe Maria Raffa, Letizia Scola, Carmela Rita Balistreri

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
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

6 authors.

Laura AstaDepartment of Neuroscience, Imaging and Clinical Sciences, Cardiac Surgery Department, University "G. d'Annunzio" Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-5929-3299
Calogera PisanoCardiac Surgery Unit, Department of Precision Medicine in Medical Surgical and Critical Area (Me.Pre.C.C.), University of Palermo, 90134 Palermo, Italy.
Adriana SbrigataCardiac Surgery Unit, Department of Precision Medicine in Medical Surgical and Critical Area (Me.Pre.C.C.), University of Palermo, 90134 Palermo, Italy.
Giuseppe Maria RaffaCardiac Surgery Unit, Department of Precision Medicine in Medical Surgical and Critical Area (Me.Pre.C.C.), University of Palermo, 90134 Palermo, Italy.ORCID 0000-0001-7141-2561
Letizia ScolaCellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Corso Tukory, 211, 90134 Palermo, Italy.
Carmela Rita BalistreriCellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Corso Tukory, 211, 90134 Palermo, Italy.ORCID 0000-0002-5393-1007

Funding

ASSOCIATE-Artificial intelligence powered support system for ascending aorta aneurysm B53D23006200006-2022L7KK7L_002.
6 · The paper itself

Abstract

Natriuretic peptides (NPs) have significantly improved the assessment and management of patients with heart failure (HF), but they present several limitations. It is now clear that no single biomarker can adequately guide the diagnosis, prognosis, and outcomes of HF. Therefore, the use of multiple biomarkers, correlated with HF pathophysiology, may improve HF management. An exponential number of emerging biomarkers have been reported in the literature, and when combined, they demonstrate greater clinical relevance than when used alone. They are also increasingly used as targets in the development of innovative treatments, such as targeted and personalized therapies. Their identification and clinical relevance could also be facilitated by the application of artificial intelligence models and the use of multi-omics approaches. This article presents a detailed overview of emerging biomarkers, potential targets, and innovative therapies, illustrating their advantages and limitations, as well as possible solutions to overcome them, and highlighting their strong, promising potential. This could enable the prediction of the spread of this disease in the general population, enabling early diagnosis and limiting complications and mortality. The path to achieving this goal is arduous, but it is achievable. This will require further efforts by researchers and clinicians with diverse multidisciplinary expertise.

Indexed as

BiomarkersHeart FailureHumansNatriuretic PeptidesPrognosisBiomarkersNatriuretic Peptidesartificial intelligencebenefitsbiomarkersheart failurelimitationsmulti-biomarker panelsmulti-omicssolutionstargeted therapies

Identifiers

PMID40869365
PMCPMC12387009

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.