Evidence map›Paper›PMID 37249834›Full record

ReviewCurrent oncology reports2023

Cardiotoxicities of Non-Chemotherapeutic Metastatic Breast Cancer Treatments.

Marwa Soltani, Lara J Sokoloff, Michael G Fradley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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.

Marwa SoltaniDivision of Cardiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Lara J SokoloffDivision of Cardiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Michael G FradleyDivision of Cardiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA. michael.fradley@pennmedicine.upenn.edu.ORCID 0000-0001-8352-8975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAlthough mortality rates have declined significantly in recent years, breast cancer remains the second most common cause of cancer death in women, with rates significantly higher among women with metastatic disease. New therapeutic agents have improved the prognosis of patients with metastatic breast cancer but raise concerns around the risk of cardiovascular disease. This review aims to discuss the oncologic treatment of the different subtypes of breast cancer along with the cardiac complications associated with each therapy. RECENT

findingsThis article emphasizes human epidermal growth factor receptor targeted therapies with a focus on incidence of cardiotoxicity, reversibility, long-term outcomes, and management in high-risk patients. This review will address the use of cardiac biomarkers to monitor for toxicity, as well as the utility of cardiac imaging, including global longitudinal strain as a prognostic factor. We will also include recent findings on tyrosine kinase inhibitors, cyclin dependent kinase 4/6, and immune checkpoint inhibitors. Cardiotoxicity may lead to premature discontinuation of novel cancer therapies; optimizing cardiovascular risk factors and close monitoring for cardiotoxicity allow patients to maximize their oncologic and cardiovascular outcomes.

Indexed as

Breast NeoplasmsCardiovascular DiseasesHeart DiseasesCardiotoxicityFemaleHeartHumansCardio-oncologyCardiotoxicityHormone receptor-positiveHuman epidermal growth factor 2-positiveMetastatic breast cancerTargeted therapiesTriple negative disease

Identifiers

What OpenQuestion holds

Textmetadata
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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.