Evidence map›Paper›PMID 38084311›Full record

ReviewPharmacogenomics and personalized medicine2023

A Review on Probable Causes of Cardiotoxicity Caused by Common Cancer Drugs and the Role of Traditional Chinese Medicine in Prevention and Treatment.

Miao Zhou, Wenyan Wang, Jiahao Weng, Zhikun Lai

Abstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Miao Zhou *Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Wenyan Wang *Department of Endocrinology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Jiahao WengDepartment of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Zhikun LaiDepartment of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a widespread disease in our nation, characterized by a high occurrence rate. The use of tumor medications has been linked to an increased chance of cardiovascular complications, including a notable occurrence of heart toxicity. This has caused significant concern among healthcare professionals. This article provides a comprehensive compilation of drugs recognized for their potential to cause heart toxicity. Furthermore, extensive research has been conducted to investigate and categorize the effects of heart toxicity, with the purpose of promoting awareness, facilitating early intervention, and ultimately reducing the occurrence of heart toxicity. At the same time, there is an anticipation that Traditional Chinese Medicine (TCM) can capitalize on its unique attributes to address such ailments. To establish its effectiveness, it is crucial to carry out extensive clinical trials or retrospective analyses. The purpose of this article is to summarize the possible mechanisms of cardiac toxicity caused by commonly used chemotherapy drugs and summarize the possible mechanisms of adverse cardiac toxicity, laying the groundwork for subsequent research.

Indexed as

cardiotoxicitychemotherapeutic drugsmechanismsTCM intervention

Identifiers

PMID38084311
PMCPMC10710781

What OpenQuestion holds

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LicenceCC BY-NC
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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.