Evidence map›Paper›PMID 39493512›Full record

ArticleInternational journal of molecular and cellular medicine2024

Circulating miRNA-106b-5p As a Potential Biomarker for Coronary Artery Disease.

Rosita Azar Bahadori, Dina Shabani, Elham Arjmandrad, Mahsa Kazerani, Mina Rohani, Zohreh Ramazani Karim, Masoud Ali-Kheyl, Reza Nosratabadi, Hossein Pourghadamyari, Mohammad Ali Zaemi

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Article in International journal of molecular and cellular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Plasma Expression andBiomolecules · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. 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

10 authors.

Rosita Azar BahadoriDepartment of Molecular Genetics, Parand Branch, Islamic Azad University, Tehran, Iran.
Dina ShabaniCellular and Molecular Biology, Department of Biology. Science Faculty, Science and Art University, Yazd, Iran.
Elham ArjmandradDepartment of Molecular and Cellular Sciences, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Mahsa KazeraniDepartment of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Mina RohaniDepartment of Clinical Biochemistry, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Zohreh Ramazani KarimDepartment of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Masoud Ali-KheylDepartment of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Reza NosratabadiDepartment of Medical Immunology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Hossein PourghadamyariApplied Cellular and Molecular Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Ali ZaemiDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery diseases (CAD) represent a significant global health concern and are recognized as a primary contributor to mortality on a worldwide scale. Early diagnosis of CAD is one of promising goal to manage this disorder. Recent investigations have highlighted the pivotal involvement of microRNAs (miRNAs) in diverse health conditions, notably CAD. The principal objective of this investigation was to identify appropriate miRNAs that could be employed for the early detection of CAD

Indexed as

coronary artery diseaseMicroRNAmiRNA-mRNA intractionqRT-PCR

Identifiers

PMID39493512
PMCPMC11530952

What OpenQuestion holds

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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.