Evidence map›Paper›PMID 38676836›Full record

ReviewCurrent treatment options in oncology2024

Precision Cardio-oncology: Update on Omics-Based Diagnostic Methods.

Ziyu Kuang, Miao Kong, Ningzhe Yan, Xinyi Ma, Min Wu, Jie Li

Open access · hybridAbstract readReview
In one paragraph

Review in Current treatment options in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Ziyu Kuang *Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Miao Kong *Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ningzhe Yan *Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xinyi MaOncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Min WuCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. wumin@gamyy.cn.
Jie LiOncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. qfm2020jieli@yeah.net.
Guang’anmen Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing University of Chinese Medicine · CN

Funding

National Natural Science Foundation of China 82074402
6 · The paper itself

Abstract

opinion statementCardio-oncology is an emerging interdisciplinary field dedicated to the early detection and treatment of adverse cardiovascular events associated with anticancer treatment, and current clinical management of anticancer-treatment-related cardiovascular toxicity (CTR-CVT) remains limited by a lack of detailed phenotypic data. However, the promise of diagnosing CTR-CVT using deep phenotyping has emerged with the development of precision medicine, particularly the use of omics-based methodologies to discover sensitive biomarkers of the disease. In the future, combining information produced by a variety of omics methodologies could expand the clinical practice of cardio-oncology. In this review, we demonstrate how omics approaches can improve our comprehension of CTR-CVT deep phenotyping, discuss the positive and negative aspects of available omics approaches for CTR-CVT diagnosis, and outline how to integrate multiple sets of omics data into individualized monitoring and treatment. This will offer a reliable technical route for lowering cardiovascular morbidity and mortality in cancer patients and survivors.

Indexed as

CardiotoxicityCardiovascular DiseasesGenomicsNeoplasmsPrecision MedicineAntineoplastic AgentsBiomarkersCardio-OncologyDisease ManagementDisease SusceptibilityHumansMedical OncologyMetabolomicsProteomicsAntineoplastic AgentsBiomarkersCardio-oncologyCardiotoxicityOmicsPrecision medicine

Identifiers

PMID38676836
PMCPMC11082000
OpenAlexW4395694830

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.