Evidence map›Paper›PMID 39153147›Full record

ReviewJournal of nephrology2024

Biomarkers in cardiorenal syndrome, a potential use in precision medicine.

Eleni Stefanou, Christos Tountas, Emmanouil Ioannidis, Christo Kole

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In one paragraph

Review in Journal of nephrology, 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
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  4. Implementation of post-mortem examinations within a large population-based cohort: results from the Hamburg City Health Study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  5. Review
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  8. 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

4 authors.

Eleni StefanouArtificial Kidney Unit, General Hospital of Messinia, Kalamata, Greece.ORCID 0009-0007-8645-2102
Christos TountasCardiology Department, Sismanogleio General Hospital of Attica, Athens, Greece.
Emmanouil IoannidisCardiology Department, Sismanogleio General Hospital of Attica, Athens, Greece.
Christo KoleCardiology Department, Sismanogleio General Hospital of Attica, Athens, Greece. christo.kole@gmail.com.ORCID 0000-0003-4695-3723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiorenal syndrome refers to the interrelated dysfunction of the heart or kidney resulting in a cascade of feedback mechanisms, hemodynamic, neurohormonal, and immunological and/or biochemical feedback pathways causing damage in the other organ. Cardiorenal syndrome is categorized into five clinical subtypes depending on the perceived primary precipitant of organ injury and is associated with high morbidity and mortality. Therefore, the development of tools for the earliest identification of cardiorenal syndrome in hospitalized patients is of extremely high significance to ameliorate the prognosis and outcome of these patients. There is increasing interest in identifying molecules serving as biomarkers, reflecting hemodynamic changes, heart and kidney damage and/or dysfunction and oxidative stress-induced cell damage or changes in the extracellular matrix of both the heart and kidneys. Biomarkers provide important insights into the pathophysiology of cardiorenal syndrome and are invaluable tools to predict the decrease in renal function during cardiac dysfunction and vice versa. Based on the pathophysiological mechanisms of cardiorenal syndrome, we reviewed and evaluated the available literature on serum and urinary biomarkers as predictors of kidney and/or heart injury. In addition, heart- and kidney-specific biomarkers were also evaluated based on their reference to kidney and cardiac (dys)function respectively, and whether they would provide any prediction and prognostication of cardiorenal syndrome. In this article, we discuss the current knowledge on the pathophysiology of different types of cardiorenal syndrome, examine the clinical utility of candidate biomarkers in the early diagnosis of cardiorenal syndrome, and guide treatment by evaluating the respective roles of the involved pathophysiological pathways.

Indexed as

BiomarkersCardio-Renal SyndromePrecision MedicineHumansKidneyPrognosisBiomarkersAcute decline of cardiac functionAcute kidney injuryBiomarkersCardiorenal syndromeChronic kidney diseaseHeart failureRenocardiac syndrome

Identifiers

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Registered trials

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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.