Evidence map›Paper›PMID 42783052›Full record

ArticleJournal of cardiovascular development and disease2026

Development and Validation of a Thoracic Aortic Calcification-Based Nomogram for Early Myocardial Injury in Breast Cancer Patients.

Lingqu Zhou, Liangjiao Wang, Junjie Wang, Zirui Zhou, Xiuquan Zhang, Ziyue Zhong, Qi Guo, Yinyin Zhang

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lingqu ZhouDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Liangjiao WangDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Junjie WangDepartment of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.ORCID 0009-0007-1381-0597
Zirui ZhouDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Xiuquan ZhangDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Ziyue ZhongDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Qi GuoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510060, China.
Yinyin ZhangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510060, China.

Funding

National Natural Science Foundation of China 81900443
6 · The paper itself

Abstract

Early identification of patients with breast cancer who are at increased risk of treatment-related myocardial injury may support individualized cardiovascular surveillance. This retrospective study included 551 patients treated at Sun Yat-sen Memorial Hospital between January 2014 and December 2021. All patients had chest computed tomography data and at least three high-sensitivity cardiac troponin T (hs-cTnT) measurements. Early myocardial injury was defined as hs-cTnT > 14 ng/L within 6 months after treatment. Patients were randomly divided into training (

Indexed as

breast cancercardio-oncologymyocardial injuryrisk predictionvascular calcification

Identifiers

PMID42783052
PMCPMC13607559

What OpenQuestion holds

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Registered trials

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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.