Evidence map›Paper›PMID 40607134›Full record

ArticleJournal of geriatric cardiology : JGC2025

Chinese guideline for the clinical application of noninvasive imaging technology in accessing cancer therapy-related cardiovascular toxicity.

Chinese Anti-Cancer Association Society of Integrative Cardio-oncology, Ultrasound Branch of the Chinese Medical Association, Chinese Society of Echocardiography, Mei Zhang, Dian-Fu Li, Jun Pu

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Chinese Anti-Cancer Association Society of Integrative Cardio-oncology, Ultrasound Branch of the Chinese Medical Association, Chinese Society of Echocardiography
Mei ZhangDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, China.
Dian-Fu LiDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University/Jiangsu Province Hospital, Nanjing, China.
Jun PuDepartment of Cardiology, Renji Hospital, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular damage caused by cancer treatment has become an important cause of death for tumor survivors. With the recognition of cardiovascular diseases and cancer therapy-related cardiovascular toxicity (CTR-CVT) in tumor patients, noninvasive imaging technologies play pivotal roles in the risk stratification, early diagnosis, monitoring and follow-up for CTR-CVT. In recent years, the field of cardio-oncology has witnessed continual updates in diagnostic and therapeutic strategies, with several pertinent guidelines and expert consensus documents issued in China and abroad. However, there remains a conspicuous absence of systematic guidance documents on the application of imaging techniques in the clinical practice of cardio-oncology. Therefore, the Chinese Anti-Cancer Association Society of Integrative Cardio-oncology, the Ultrasound Branch of the Chinese Medical Association, and the Chinese Society of Echocardiography convened experts to formulate the "Chinese guideline for the clinical application of noninvasive imaging technology in accessing cancer therapy-related cardiovascular toxicity". Building upon the systematic evaluation of guidelines and the latest evidence-based medical research in the field of cardio-oncology domestically and abroad, and in conjunction with data derived from evidence-based medical research in China, this guideline proposes noninvasive imaging examination methods and monitoring strategies for CTR-CVT, aiming to further standardize and guide the clinical practice of multidisciplinary physicians specializing in cardio-oncology in China.

Identifiers

PMID40607134
PMCPMC12209155

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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.