Evidence map›Paper›PMID 28493232›Full record

ReviewClinical and translational medicine2017

Anthracycline induced cardiotoxicity: biomarkers and "Omics" technology in the era of patient specific care.

Shayan Moazeni, Martin Cadeiras, Eric H Yang, Mario C Deng, Kim-Lien Nguyen

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Cardiovascular Concerns in BRCA1 and BRCA2 Mutation Carriers.Current treatment options in cardiovascular medicine · 2018
    Review
  15. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health.Experimental biology and medicine (Maywood, N.J.) · 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

5 authors at 2 institutions in 1 country.

Shayan MoazeniDivision of Cardiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Martin CadeirasDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90024, USA.
Eric H YangDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90024, USA.
Mario C DengDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, 11301 Wilshire Blvd, MC 111E, Los Angeles, CA, 90024, USA.
Kim-Lien NguyenDivision of Cardiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. klnguyen@ucla.edu.
University of California, Los Angeles · USVA Greater Los Angeles Healthcare System · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

Anthracyclines are highly effective against a variety of malignancies. However, their dose-dependent cardiotoxic effects can potentially limit their use. In the past decade, serum biomarkers have been used to diagnose, monitor, predict, and prognosticate disease. Biomarkers such as cardiac troponin and natriuretic peptides have some predictive value, but still lack reliability in this patient population. Novel biomarkers such as galectin-3, soluble ST-2 proteins, myeloperoxidase, and fibrocytes are being explored as potential biomarkers to reliably predict the onset of cardiotoxicity. Leveraging multiomics technology to map highly sensitive biomarkers in an integrated approach through pattern deconvolution may better define those at highest risk of developing cardiotoxicity and further the goal of precision medicine. In this work, we aim to provide a brief overview of traditional serum biomarkers, summarize current investigations on novel circulating biomarkers, and discuss a systems-based approach to anthracycline-induced cardiotoxicity through "omics" technology.

Indexed as

AnthracyclineBiomarkersCardiomyopathyCardiotoxicityHeart failureOmics

Identifiers

PMID28493232
PMCPMC5425361
OpenAlexW2612164817

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.