Evidence map›Paper›PMID 42823543›Full record

SynthesisJournal of cardiovascular translational research2026

Diagnostic Accuracy of Circulating MicroRNAs for Coronary Artery Disease: An Updated Systematic Review and Meta-analysis.

Shankar Biswas, Yashasvi Srivastava, Ayman Hamadttu

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Journal of cardiovascular translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shankar BiswasDepartment of Internal Medicine, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine. Sb740927@gmail.com.ORCID http://orcid.org/0009-0005-2421-3953
Yashasvi SrivastavaDepartment of Internal Medicine, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Ayman HamadttuSudan University of Science and Technology, Khartoum, Sudan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating microRNAs (miRNAs) are promising non-invasive biomarkers for coronary artery disease (CAD). We conducted an updated meta-analysis evaluating their diagnostic accuracy through December 2025. PubMed, Embase, and Scopus were searched for diagnostic accuracy studies of circulating miRNAs in angiography-confirmed CAD. Accuracy was pooled using a bivariate random-effects model yielding sensitivity, specificity, and SROC-AUC. Twenty-four studies (64 comparisons, 3,879 participants) were included. Pooled sensitivity was 0.777 (95% CI: 0.737-0.816), specificity 0.832 (95% CI: 0.801-0.862), and AUC 0.872. Multi-miRNA panels outperformed single miRNAs (AUC 0.901 vs. 0.868). Substantial heterogeneity was present (Sensitivity; I²=92.1%; τ²=0.738); however, τ² remained substantial (sens:0.738, tfpr:0.434), indicating persistent heterogeneity; Holling-adjusted I² (5.1-7.7%) reflects sensitivity to study precision, not resolved heterogeneity. Meta-regression identified panel-based assay type and plasma sample source as modifiable drivers. Circulating miRNAs show moderate-to-good diagnostic accuracy for CAD as investigational complementary biomarkers. Prospective validation with standardized protocols is required before clinical deployment. PROSPERO Registration ID: CRD420261279673. Not Applicable (As this is a Systematic Review and Meta-analysis and not a Clinical Trial).

Indexed as

Circulating MicroRNACoronary Artery DiseaseBiomarkersFemaleHumansMalePredictive Value of TestsPrognosisReproducibility of ResultsBiomarkersCirculating MicroRNABiomarkerCoronary artery diseaseDiagnostic accuracymicroRNASensitivitySpecificitySystematic review

Identifiers

PMID42823543

What OpenQuestion holds

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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.