Evidence map›Paper›PMID 25239434›Full record

ReviewCurrent heart failure reports2014

Novel renal biomarkers to assess cardiorenal syndrome.

Meredith A Brisco, Jeffrey M Testani

Open access · greenAbstract readReview
In one paragraph

Review in Current heart failure reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Right Heart Function in Cardiorenal Syndrome.Current heart failure reports · 2022
    Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. New Insight in Cardiorenal Syndrome: From Biomarkers to Therapy.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Biomarkers in Cardiorenal Syndromes.BioMed research international · 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

2 authors at 2 institutions in 1 country.

Meredith A BriscoDivision of Cardiology, Advanced Heart Failure and Cardiac Transplantation, Medical University of South Carolina, 25 Courtenay Drive, ART 7061, MSC 592, Charleston, SC, 29425-5920, USA, brisco@musc.edu.
Jeffrey M Testani
Medical University of South Carolina · USYale University · US

Funding

Cardio-renal phenotype and prognosis in chronic heart failureK23HL114868 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2012 to 2017
$845k
NHLBI NIH HHS K23 HL114868NHLBI NIH HHS L30 HL115790
6 · The paper itself

Abstract

Renal dysfunction (RD) in heart failure portends adverse outcomes and often limits aggressive medical and decongestive therapies. Despite the high prevalence in this population, not all forms of RD are prognostically or mechanistically equivalent: RD can result from irreversible nephron loss secondary to diabetic or hypertensive kidney disease or it can develop secondary to heart failure (HF) itself, i.e., the cardiorenal syndrome. Furthermore, filtration is only one aspect of renal performance such that significant renal impairment secondary to cardiorenal syndrome can exist despite a normal glomerular filtration rate. Renal biomarkers have the potential to inform some of the intricacies involved in accurately assessing cardiorenal interactions. This article discusses novel biomarkers for cardiorenal syndrome and their utility in the prognosis, diagnosis, and targeted treatment of heart failure-induced RD.

Indexed as

BiomarkersCardio-Renal SyndromeHumansKidney Function TestsPrognosisRisk FactorsBiomarkers

Identifiers

PMID25239434
PMCPMC4224613
OpenAlexW1993689270

What OpenQuestion holds

Textmetadata
LicenceTDM
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.