Evidence map›Paper›PMID 37229229›Full record

ArticleFrontiers in cardiovascular medicine2023

The impact of tumor characteristics on cardiovascular disease death in breast cancer patients with CT or RT: a population-based study.

Kaiyi Chi, Zehao Luo, Hongjun Zhao, Yemin Li, Yinglan Liang, Zhaoling Xiao, Yiru He, Hanbin Zhang, Zaiying Ma, Liangjia Zeng and 5 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

15 authors.

Kaiyi Chi *Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zehao Luo *Cardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Hongjun Zhao *Cardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Yemin Li *Cardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Yinglan LiangCardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Zhaoling XiaoDepartment of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, China.
Yiru HeCardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Hanbin ZhangCardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Zaiying MaDepartment of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, China.
Liangjia ZengCardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Ruoyun ZhouCardiovascular Medicine and Cardio-Oncology Group, Medical Exploration and Translation Team, Guangzhou, China.
Manting FengDepartment of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, China.
Wangen LiDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Huying RaoDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Min YiDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies focused on the impact of cardiovascular diseases (CVD) risk factors in breast cancer patients with chemotherapy (CT) or radiotherapy (RT). This study aimed to identify the impact of tumor characteristics on CVD death in these patients. Methods: Data of female breast cancer patients with CT or RT between 2004 and 2016 were included. The risk factors of CVD death were identified using Cox regression analyses. A nomogram was constructed to evaluate the predicted value of tumor characteristics, and then validated by the concordance indexes (C-index) and calibration curves. Result: A total of 28,539 patients were included with an average follow-up of 6.1 years. Tumor size > 45 mm (adjusted HR = 1.431, 95% CI = 1.116-1.836, Conclusion: Tumor size and stage were related to the risk of CVD death for breast cancer patients with CT or RT. The management of CVD death risk in breast cancer patients with CT or RT should focus not only on CVD risk factors but also on tumor size and stage.

Indexed as

breast cancercardio-oncologycardiovascular diseases deathchemotherapyradiotherapySEERtumor sizetumor stage

Identifiers

PMID37229229
PMCPMC10203988

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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.