Evidence map›Paper›PMID 28785588›Full record

ReviewBioMed research international2017

Potential Biological Markers of Atrial Fibrillation: A Chance to Prevent Cryptogenic Stroke.

István Szegedi, László Szapáry, Péter Csécsei, Zoltán Csanádi, László Csiba

Abstract readReview
In one paragraph

Review in BioMed research international, 2017. 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
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Galectin-3 in Atrial Fibrillation: Mechanisms and Therapeutic Implications.International journal of molecular sciences · 2018
    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.

István SzegediDepartment of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary.
László SzapáryDepartment of Neurology, Clinical Centre, University of Pécs, Pécs, Hungary.
Péter CsécseiDepartment of Neurology, Clinical Centre, University of Pécs, Pécs, Hungary.
Zoltán CsanádiDepartment of Cardiology, Clinical Centre, University of Debrecen, Debrecen, Hungary.
László CsibaDepartment of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary.ORCID 0000-0003-3273-8555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke affects millions of people all over the world, causing death and disability. The most frequent type of this disease is ischemic stroke, which can be caused by different factors. In approximately 25 percent of cases, no obvious cause can be found. Recent observations have shown that paroxysmal atrial fibrillation could be responsible for a significant number of cryptogenic stroke events. Short- or long-lasting ECG monitoring could help with the diagnosis of transient arrhythmias. Unfortunately, these techniques either are expensive or require good patient compliance. An alternative option is the identification of biological markers that are specific for atrial fibrillation and can be used to predict arrhythmia. In this review, we give a summary of the recent advances in the research of arrhythmia markers. Based on their structure and function, we differentiated four groups of biomarkers: markers of inflammation, markers of fibrosis, markers with hormonal activity, and other markers. In spite of intensive researches, the optimal biological marker is still not available, but there are some promising markers, like NT-proBNP/BNP.

Indexed as

AnimalsAtrial FibrillationBiomarkersHormonesHumansInflammationStrokeBiomarkersHormones

Identifiers

PMID28785588
PMCPMC5530434

What OpenQuestion holds

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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.