Evidence map›Paper›PMID 40430077›Full record

ArticleInternational journal of molecular sciences2025

Hui-Ting Wang, Shyh-Ming Chen, Huang-Chung Chen, Pei-Ting Lin, Yung-Lung Chen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Impact ofJournal of cardiovascular development and disease · 2026
    Review
  2. Review
  3. 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

5 authors.

Hui-Ting WangEmergency Department, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
Shyh-Ming ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.ORCID 0000-0001-5256-7429
Huang-Chung ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.ORCID 0000-0002-4423-9246
Pei-Ting LinDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.ORCID 0000-0002-8474-4976
Yung-Lung ChenSchool of Medicine, College of Medicine, National SunYat-sen University, Kaohsiung 80424, Taiwan.ORCID 0000-0001-7465-0880

Funding

Chang Gung Memorial Hospital NMRPG8H0211 and NMRPG8J0251Ministry of Science and Technology of Taiwan MOST 107-2314-B-182A-151 and MOST 108-2314-B-182A-137)
6 · The paper itself

Abstract

Atrial fibrillation (AF) is a leading cause of stroke, heart failure, and cardiovascular morbidity, yet its pathophysiology remains incompletely understood. Among various molecular regulators, microRNAs (miRNAs) have emerged as promising biomarkers for AF detection and burden monitoring. However, the optimal sample type for miRNA analysis remains unclear, posing a challenge for biomarker standardization. This study aimed to assess whether miRNA expression profiles remain consistent across plasma and blood cells, with a focus on identifying miRNAs with a strong predictive potential for AF burden. This exploratory study recruited patients diagnosed with sick sinus syndrome who had undergone permanent pacemaker implantation. Participants were stratified into three groups based on AF status: no AF (

Indexed as

Atrial FibrillationDown-RegulationMicroRNAsSick Sinus SyndromeAgedBiomarkersFemaleGene Expression ProfilingHumansMaleMiddle AgedBiomarkersMicroRNAsMIRN1 microRNA, humanatrial fibrillationmiR-1-3pmiRNA

Identifiers

PMID40430077
PMCPMC12112321

What OpenQuestion holds

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LicenceCC BY
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.