Evidence map›Paper›PMID 31741231›Full record

ReviewCurrent heart failure reports2019

Cardiac Biomarkers in Advanced Heart Failure: How Can They Impact Our Pre-transplant or Pre-LVAD Decision-making.

Imo Ebong, Sula Mazimba, Khadijah Breathett

Open access · greenAbstract readReview
In one paragraph

Review in Current heart failure reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

3 authors at 3 institutions in 1 country.

Imo EbongDepartment of Medicine, Division of Cardiovascular Medicine, University of California, Davis, CA, USA.
Sula MazimbaDepartment of Medicine, Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA.
Khadijah BreathettDepartment of Medicine, Division of Cardiovascular Medicine, Sarver Heart Center, University of Arizona, 1501 North Campbell Avenue, PO Box 245046, Tucson, AZ, 85724, USA. kbreathett@shc.arizona.edu.
University of Arizona · USUniversity of California, Davis · USUniversity of Virginia · US

Funding

Addressing Individual Provider Bias and Group Decision-Making in Selection of Advanced Heart Failure Therapies in Racial/Ethnic MinoritiesK01HL142848 · NHLBI · UNIVERSITY OF ARIZONA · PI BREATHETT, KHADIJAH · 2018 to 2021
$858k
NHLBI NIH HHS K01 HL142848NHLBI NIH HHS L30 HL148881
6 · The paper itself

Abstract

purpose of reviewDecision-making in advanced heart failure (HF) is a complex process that involves careful consideration of competing tradeoffs of risks and benefits in regard to heart transplantation (HT) or left ventricular assist device (LVAD) placement. The purpose of this review is to discuss how biomarkers may affect decision-making for HT or LVAD implantation. RECENT

findingsN-Terminal probrain natriuretic peptide, soluble suppression of tumorigenicity-2, galectin-3, copeptin, and troponin T levels are associated with HF survival and can help identify the appropriate timing for advanced HF therapies. Patients at risk of right ventricular failure after LVAD implantation can be identified with preimplant biomarkers of extracellular matrix turnover, neurohormonal activation, and inflammation. There is limited data on the adoption of biomarker measurement for decision-making in the allocation of advanced HF therapies. Nonetheless, biomarkers can improve risk stratification and prognostication thereby optimizing patient selection for HT and LVAD implantation.

Indexed as

Heart-Assist DevicesHeart TransplantationBiomarkersClinical Decision-MakingHeart FailureHumansPatient SelectionPrognosisRisk AssessmentTreatment OutcomeBiomarkersDecision-makingHeart failureHeart transplantVentricular assist device

Identifiers

PMID31741231
PMCPMC6935320
OpenAlexW2988830985

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.