Evidence map›Paper›PMID 23709316›Full record

ReviewHeart failure reviews2014

Clinical use of novel biomarkers in heart failure: towards personalized medicine.

Daniela Schmitter, Gadi Cotter, Adriaan A Voors

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. New Biomarkers for Cardiovascular Disease.Texas Heart Institute journal · 2023
    Review
  8. Article
  9. Review
  10. Obesity, Galectin-3, and Incident Heart Failure: The ARIC Study.Journal of the American Heart Association · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Cardiac molecular imaging to track left ventricular remodeling in heart failure.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Review
  18. Article
  19. Article
  20. 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

3 authors.

Daniela SchmitterMomentum Research, Inc., Hagmattstrasse 17, 4123, Allschwil, Switzerland.
Gadi Cotter
Adriaan A Voors

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers play an important role in heart failure. They provide us information about the mechanisms involved in specific types of heart failure and can identify patients at higher risk. Although the majority of biomarker studies in heart failure focus on their prognostic value, the clinical applicability of prognostication in heart failure needs to be established. However, biomarkers can be used for many other purposes. For example, they can help us with the diagnosis of heart failure, and they can be used to select our therapy, leading to personalized tailored therapy. Finally, when biomarkers are causally involved in the disease process, they can even become targets for therapy. The present paper reviews the established and potential value of the novel heart failure biomarkers, mid-regional atrial natriuretic peptide, soluble ST2, growth differentiation factor 15, galectin-3, renal tubular damage markers, and microRNAs. Their potential clinical value will be discussed and compared with the reference markers, the natriuretic peptides.

Indexed as

Heart FailureBiomarkersForecastingGalectin 3HumansInterleukin-1 Receptor-Like 1 ProteinMicroRNAsPatient SelectionPrecision MedicinePredictive Value of TestsPrognosisReceptors, Cell SurfaceBiomarkersGalectin 3IL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinMicroRNAsReceptors, Cell Surface

Identifiers

What OpenQuestion holds

Textmetadata
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.