Evidence map›Paper›PMID 36544334›Full record

ReviewAnnals of laboratory medicine2023

Biomarkers in Heart Failure: From Research to Clinical Practice.

Alexander E Berezin, Alexander A Berezin

Open access · diamondAbstract readReview
PubMed Publisher
In one paragraph

Review in Annals of laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
8.5field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  7. [Clinical application value of sST2 in patients with heart failure].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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 at 1 institution in 1 country.

Alexander E BerezinInternal Medicine Department, Zaporozhye Medical Academy of Postgraduate Education, Zaporozhye, Ukraine.ORCID https://orcid.org/0000-0002-0446-3999
Alexander A BerezinInternal Medicine Department, Zaporozhye Medical Academy of Postgraduate Education, Zaporozhye, Ukraine.ORCID https://orcid.org/0000-0002-0660-9082
Zaporizhzhia Medical Academy of Post-Graduate Education Ministry of Health of Ukraine · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this narrative review is to summarize contemporary evidence on the use of circulating cardiac biomarkers of heart failure (HF) and to identify a promising biomarker model for clinical use in personalized point-of-care HF management. We discuss the reported biomarkers of HF classified into clusters, including myocardial stretch and biomechanical stress; cardiac myocyte injury; systemic, adipocyte tissue, and microvascular inflammation; cardiac fibrosis and matrix remodeling; neurohumoral activation and oxidative stress; impaired endothelial function and integrity; and renal and skeletal muscle dysfunction. We focus on the benefits and drawbacks of biomarker-guided assistance in daily clinical management of patients with HF. In addition, we provide clear information on the role of alternative biomarkers and future directions with the aim of improving the predictive ability and reproducibility of multiple biomarker models and advancing genomic, transcriptomic, proteomic, and metabolomic evaluations.

Indexed as

Heart FailureProteomicsBiomarkersHumansKidneyReproducibility of ResultsBiomarkersCardiac BiomarkersHeart failureManagementMultiple Biomarker ModelsPrediction

Identifiers

PMID36544334
OpenAlexW4312115367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.