Evidence map›Paper›PMID 29644220›Full record

ArticleFrontiers in cardiovascular medicine2018

Can Blood Biomarkers Help Predicting Outcome in Transcatheter Aortic Valve Implantation?

Cécile Oury, Alain Nchimi, Patrizio Lancellotti, Jutta Bergler-Klein

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Fibrin clot strength is associated with increased risk of major adverse cardiac events after TAVR.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  4. Review
  5. Article
  6. Negative Impact ofJACC. Basic to translational science · 2023
    Article
  7. Risk stratification using growth differentiation factor 15 in patients undergoing transcatheter aortic valve implantation.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2023
    Article
  8. Aortic Stenosis Phenotypes and Precision Transcatheter Aortic Valve Implantation.Journal of cardiovascular development and disease · 2023
    Review
  9. Circulating Monocyte Subsets and Transcatheter Aortic Valve Replacement.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Article
  12. 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

4 authors.

Cécile OuryDepartment of Cardiology, Heart Valve Clinic, University of Liège Hospital, GIGA Cardiovascular Sciences, CHU Sart Tilman, Liège, Belgium.
Alain NchimiDepartment of Cardiology, Heart Valve Clinic, University of Liège Hospital, GIGA Cardiovascular Sciences, CHU Sart Tilman, Liège, Belgium.
Patrizio LancellottiDepartment of Cardiology, Heart Valve Clinic, University of Liège Hospital, GIGA Cardiovascular Sciences, CHU Sart Tilman, Liège, Belgium.
Jutta Bergler-KleinDepartment of Cardiology, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcatheter aortic valve implantation (TAVI) has become the method of choice for patients with severe aortic valve stenosis, who are ineligible or at high risk for surgery. In this high risk patient population, early and late mortality and rehospitalization rates after TAVI are still relatively high. In spite of recent improvements in procedural TAVI, and establishment of risk models for poor outcome, determining individual risk remains challenging. In this context, current data from several small studies strongly suggest that blood biomarkers of myocardial injury, cardiac mechanical stretch, inflammation, and hemostasis imbalance might play an important role by providing informations on patient risk at baseline, and postprocedural progression of patient clinical conditions from days up to years post-TAVI. Although the role of biomarkers for predicting survival post-TAVI remains to be validated in large randomized studies, implementing biomarkers in clinical practice might improve risk stratification, thereby further reducing TAVI-associated morbidity and mortality.

Indexed as

blood biomarkersinflammationmyocardial stressplateletTAVIthrombocytopenia

Identifiers

PMID29644220
PMCPMC5882866

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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.