Evidence mapPaperPMID 39698680Full record

ArticleQuantitative imaging in medicine and surgery2024

Coronary computed tomography angiography for assessing the coronary artery and predicting adverse cardiovascular events in patients with thoracic malignancies.

Qian Xu, Hesong Shen, Chunrong Tu, Yuhang Xie, Rui Yang, Xiaoqian Yuan, Zijuan Ran, Jiuquan Zhang

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Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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

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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

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Qian Xu *School of Medicine, Chongqing University, Chongqing, China.
Hesong Shen *Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Chunrong TuDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Yuhang XieDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Rui YangDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Xiaoqian YuanDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Zijuan RanDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Jiuquan ZhangDepartment of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is unclear whether the parameters derived from coronary computed tomography angiography (CCTA) can identify the impairments of coronary arteries and if they are associated with major adverse cardiovascular events (MACEs) in patients with thoracic malignancies receiving chemotherapy or chemoradiotherapy. This study aimed to investigate the longitudinal changes in coronary arteries using CCTA and to determine their association with MACEs in patients with thoracic malignancies receiving chemotherapy or chemoradiotherapy. Methods: This cross-sectional study included consecutive patients with thoracic malignancies who received chemotherapy or chemoradiotherapy and who underwent CCTA between June 2013 and May 2019 at Chongqing University Cancer Hospital. The pericoronary fat attenuation index (FAI) of three main coronary arteries before and after chemotherapy or chemoradiotherapy were assessed. The association between CCTA parameters and MACEs was evaluated via the Cox proportional hazards model. Kaplan-Meier survival curves were drawn to compare the MACE-free survival rates. Results: A total of 1,543 patients were enrolled, 232 of whom developed MACEs. Among the patients, 41.3% were male, and the median age was 67.00 years (interquartile range 56.00-72.00 years). The FAI values were significantly increased after chemotherapy or chemoradiotherapy (all P values <0.05). After treatment, the FAI values were higher in the chemoradiotherapy group than in the chemotherapy group. MACEs were associated with the FAI values before chemotherapy in the left anterior descending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA) [LAD: hazard ratio (HR) =3.745, 95% confidence interval (CI): 1.193-11.756, P=0.023; LCX: HR =3.460, 95% CI: 1.092-10.832, P=0.031; RCA: HR =4.175, 95% CI: 1.375-12.673, P=0.011] and chemoradiotherapy (LAD: HR =2.856, 95% CI: 1.210-6.742, P=0.016; LCX: HR =2.385, 95% CI: 1.037-5.487; P=0.040; RCA: HR =2.029, 95% CI: 1.074-3.834, P=0.029). Conclusions: The FAI derived from CCTA, as an imaging biomarker of coronary arterial inflammation, was able to characterize coronary arterial impairment, and the FAI at baseline was associated with MACEs in patients with thoracic malignancies receiving chemotherapy or chemoradiotherapy.

Indexed as

computed tomography angiographycoronary vesselsmajor adverse cardiovascular events (MACEs)Thoracic neoplasms

Identifiers

PMID39698680
PMCPMC11652002

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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 Socratic graph.