Evidence map›Paper›PMID 35174219›Full record

ArticleFrontiers in cardiovascular medicine2021

Prognostic Value of Coronary CT Angiography-Derived Fractional Flow Reserve in Non-obstructive Coronary Artery Disease: A Prospective Multicenter Observational Study.

Fan Zhou, Qian Chen, Xiao Luo, Wei Cao, Ziwen Li, Bo Zhang, U Joseph Schoepf, Callum E Gill, Lili Guo, Hong Gao and 24 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06025305 (Development and Validation of Multi-scale Deep Neural Network-Based CT Intelligent Diagnosis System for Coronary Vulnerable Plaques), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT06025305 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Development and Validation of Multi-scale Deep Neural Network-Based CT Intelligent Diagnosis System for Coronary Vulnerable Plaques: A Chinese Multicenter Study

TypeobservationalSponsorJinling Hospital, ChinaRan2023 to 2027Enrolled2,000ConditionsCoronary Artery Disease, Plaque, AtheroscleroticArmsIntravascular imaging test, Coronary plaque assessment
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
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

34 authors.

Fan ZhouDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Qian ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Xiao LuoDepartment of Radiology, People's Hospital of Maanshan, Maanshan, China.
Wei CaoDepartment of Radiology, The First People's Hospital of Xuzhou, Xuzhou, China.
Ziwen LiDepartment of Radiology, Lianyungang Clinical Medical College of Nanjing Medical University, Lianyungang, China.
Bo ZhangDepartment of Radiology, Taizhou People's Hospital, Taizhou, China.
U Joseph SchoepfDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States.
Callum E GillDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States.
Lili GuoDepartment of Medical Imaging, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
Hong GaoDepartment of Medical Imaging, Qinhuai Medical Region of Jinling Hospital, Nanjing, China.
Qingyao LiDepartment of Radiology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Yibing ShiDepartment of Diagnostic Radiology, Xuzhou Central Hospital, Xuzhou, China.
Tingting TangDepartment of Diagnostic Radiology, Yancheng No.1 Hospital, Affiliated Hospital of Nantong University, Yancheng, China.
Xiaochen LiuDepartment of Medical Imaging, Hai'an City People's Hospital, Haian, China.
Honglin WuDepartment of Radiology, The Affiliated Wujin Hospital of Jiangsu University, Changzhou, China.
Dongqing WangDepartment of Medical Imaging, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Feng XuDepartment of Medical Imaging, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, China.
Dongsheng JinDepartment of Radiology, Jiangsu Province Official Hospital, Jiangsu Jiankang Vocational College, Nanjing, China.
Sheng HuangDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China.
Haige LiDepartment of Medical Imaging, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Changjie PanDepartment of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China.
Hongmei GuMedical Imaging Center, Affiliated Hospital of Nantong University, Nantong, China.
Lixiang XieDepartment of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Ximing WangDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jing YeRadiology Department, Subei People's Hospital of Jiangsu Province, Yangzhou, China.
Jianwei JiangDepartment of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, China.
Hanqing ZhaoDepartment of Medical Imaging, The Affiliated Huaihai Hospital of Xuzhou Medical University, Xuzhou, China.
Xiangming FangDepartment of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Yi XuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei XingDepartment of Radiology, Third Affiliated Hospital of Soochow University, Soochow University, Changzhou, China.
Xiaohu LiDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xindao YinDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Guang Ming LuDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Long Jiang ZhangDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is a major contributor to morbidity and mortality worldwide. Myocardial ischemia may occur in patients with normal or non-obstructive CAD on invasive coronary angiography (ICA). The comprehensive evaluation of coronary CT angiography (CCTA) integrated with fractional flow reserve derived from CCTA (CT-FFR) to CAD may be essential to improve the outcomes of patients with non-obstructive CAD. China CT-FFR Study-2 (ChiCTR2000031410) is a large-scale prospective, observational study in 29 medical centers in China. The primary purpose is to uncover the relationship between the CCTA findings (including CT-FFR) and the outcome of patients with non-obstructive CAD. At least 10,000 patients with non-obstructive CAD but without previous revascularization will be enrolled. A 5-year follow-up will be performed. The primary endpoint is the occurrence of major adverse cardiovascular events (MACE), including all-cause mortality, non-fatal myocardial infarct, unplanned revascularization, and hospitalization for unstable angina. Clinical characteristics, laboratory and imaging examination results will be collected to analyze their prognostic value.

Indexed as

coronary computed tomography angiographycoronary plaque assessmentfractional flow reservemajor adverse cardiovascular eventsnon-obstructive coronary artery disease

Identifiers

PMID35174219
PMCPMC8843039

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Registered trials

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.