Evidence map›Paper›PMID 32093244›Full record

ReviewJournal of clinical medicine2020

Classic and Novel Biomarkers as Potential Predictors of Ventricular Arrhythmias and Sudden Cardiac Death.

Zornitsa Shomanova, Bernhard Ohnewein, Christiane Schernthaner, Killian Höfer, Christian A Pogoda, Gerrit Frommeyer, Bernhard Wernly, Mathias C Brandt, Anna-Maria Dieplinger, Holger Reinecke and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Review
  18. 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

14 authors at 2 institutions in 2 countries.

Zornitsa ShomanovaDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
Bernhard OhneweinClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Christiane SchernthanerClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Killian HöferClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Christian A PogodaDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
Gerrit FrommeyerDepartment of Cardiology II, Electrophysiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, A1, D-48149 Muenster, Germany.
Bernhard WernlyClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Mathias C BrandtClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Anna-Maria DieplingerInstitute for Nursing and Practice, Paracelsus Medical University, Muellner Strubergasse 21, 5020 Salzburg, Austria.
Holger ReineckeDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
Uta C HoppeClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Bernhard StrohmerClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Rudin PistulliDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
Lukas J MotlochClinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
Paracelsus Medical University · ATUniversity Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden cardiac death (SCD), most often induced by ventricular arrhythmias, is one of the main reasons for cardiovascular-related mortality. While coronary artery disease remains the leading cause of SCD, other pathologies like cardiomyopathies and, especially in the younger population, genetic disorders, are linked to arrhythmia-related mortality. Despite many efforts to enhance the efficiency of risk-stratification strategies, effective tools for risk assessment are still missing. Biomarkers have a major impact on clinical practice in various cardiac pathologies. While classic biomarkers like brain natriuretic peptide (BNP) and troponins are integrated into daily clinical practice, inflammatory biomarkers may also be helpful for risk assessment. Indeed, several trials investigated their application for the prediction of arrhythmic events indicating promising results. Furthermore, in recent years, active research efforts have brought forward an increasingly large number of "novel and alternative" candidate markers of various pathophysiological origins. Investigations of these promising biological compounds have revealed encouraging results when evaluating the prediction of arrhythmic events. To elucidate this issue, we review current literature dealing with this topic. We highlight the potential of "classic" but also "novel" biomarkers as promising tools for arrhythmia prediction, which in the future might be integrated into clinical practice.

Indexed as

biomarkerscardiac biomarkersheart failuresudden cardiac deathventricular arrhythmiaventricular tachycardia

Identifiers

PMID32093244
PMCPMC7074455
OpenAlexW3006780378

What OpenQuestion holds

Textmetadata
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.