Evidence map›Paper›PMID 31696405›Full record

ReviewJournal of cardiovascular translational research2020

Metabolic Imaging in Cardio-oncology.

Dan Tong, Vlad G Zaha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2020. 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
0.8field-weighted citation impact, top 24% 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, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Cardio-Oncology in 2020: Prime for Translation.Journal of cardiovascular translational research · 2020
    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

2 authors at 2 institutions in 1 country.

Dan TongDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, USA.
Vlad G ZahaDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, USA. vlad.zaha@utsouthwestern.edu.ORCID 0000-0003-4878-891X
Southwestern Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tremendous progress in cancer detection and therapy has improved survival. However, cardiovascular complications are a major source of morbidity in cancer survivors. Cardiotoxicity is currently defined by structural myocardial changes and cardiac injury biomarkers. In many instances, such changes are late and irreversible. Therefore, diagnostic modalities that can identify early alterations in potentially reversible biochemical and molecular signaling processes are of interest. This review is focused on emerging translational metabolic imaging modalities. We present in context relevant mitochondrial biology aspects that ground the development and application of these technologies for detection of cancer therapy-related cardiac dysfunction (CTRCD). The application of these modalities may improve the assessment of cardiovascular risk when anticancer treatments with a defined cardiometabolic toxic mechanism are to be used. Also, they may serve as screening tools for cardiotoxicity when novel lines of cancer therapies are applied.

Indexed as

Cancer SurvivorsCardiologyMedical OncologyMolecular ImagingAnimalsAntineoplastic AgentsApoptosisCardiotoxicityEnergy MetabolismHeart DiseasesHumansMitochondria, HeartMyocytes, CardiacNeoplasmsOxidative StressPredictive Value of TestsAntineoplastic AgentsCancerCardio-toxicityChemotherapyMetabolism

Identifiers

PMID31696405
OpenAlexW2984081284

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.