Evidence map›Paper›PMID 36161443›Full record

SynthesisEuropean journal of heart failure2022

Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta-analysis.

Reza Parvan, Milad Hosseinpour, Yousef Moradi, Yvan Devaux, Alessandro Cataliotti, Gustavo J J da Silva

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Biomarkers of Cardiovascular Stress: A Historical Review.Journal of cardiovascular development and disease · 2026
    Review
  4. Article
  5. Review
  6. Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. 2024 update in heart failure.ESC heart failure · 2025
    Review
  17. Article
  18. Review
  19. Review
  20. 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

6 authors at 4 institutions in 3 countries.

Reza ParvanInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0002-1973-2813
Milad HosseinpourDepartment of Medical Genetics and Molecular Biology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Yousef MoradiDepartment of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.ORCID 0000-0002-2936-5930
Yvan DevauxCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID 0000-0002-5321-8543
Alessandro CataliottiInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0001-5476-8523
Gustavo J J da SilvaInstitute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0002-1651-7966
Oslo University Hospital · NOIran University of Medical Sciences · IRKurdistan University of Medical Sciences · IRLuxembourg Institute of Health · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimChronic heart failure (CHF) can be classified as heart failure with preserved ejection fraction (HFpEF) or with reduced ejection fraction (HFrEF). Currently, there is an unmet need for a minimally invasive diagnostic tool for different forms of CHF. We aimed to investigate the diagnostic potential of circulating microRNAs (miRNAs) for the detection of different CHF forms via a systematic review and meta-analysis approach. METHODS AND

resultsComprehensive search on Medline, Web of Science, Scopus, and EMBASE identified 45 relevant studies which were used for qualitative assessment. Out of these, 29 studies were used for qualitative and quantitative assessment and allowed to identify a miRNA panel able to detect HFrEF and HFpEF with areas under the curve (AUC) of 0.86 and 0.79, respectively. A panel of eight miRNAs (hsa-miR-18b-3p, hsa-miR-21-5p, hsa-miR-22-3p, hsa-miR-92b-3p, hsa-miR-129-5p, hsa-miR-320a-5p, hsa-miR-423-5p, and hsa-miR-675-5p) detected HFrEF cases with a sensitivity of 0.85, specificity of 0.88 and AUC of 0.91. A panel of seven miRNAs (hsa-miR-19b-3p, hsa-miR-30c-5p, hsa-miR-206, hsa-miR-221-3p, hsa-miR-328-5p, hsa-miR-375-3p, and hsa-miR-424-5p) identified HFpEF cases with a sensitivity of 0.82 and a specificity of 0.61.

conclusionsAlthough conventional biomarkers (N-terminal pro-B-type natriuretic peptide and B-type natriuretic peptide) presented a better performance in detecting CHF patients, the results presented here pointed towards specific miRNA panels with potential additive values to circulating natriuretic peptides in the diagnosis of different classes of CHF. Equally important, miRNAs alone showed a reasonable capacity for 'ruling out' patients with HFrEF or HFpEF. Additional studies with large populations are required to confirm the diagnostic potential of miRNAs for sub-classes of CHF.

Indexed as

Heart FailureMicroRNAsBiomarkersHumansNatriuretic Peptide, BrainStroke VolumeBiomarkersMicroRNAsMirn129 microRNA, humanMIRN206 microRNA, humanMIRN675 microRNA, humanNatriuretic Peptide, BrainBiomarkerChronic heart failureHFpEFMeta-analysismicroRNA

Identifiers

PMID36161443
PMCPMC10092442
OpenAlexW4297198852

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.