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China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms

Overview of attention for article published in Journal of Translational Medicine, September 2018
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Title
China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for rupture risk of unruptured intracranial aneurysms
Published in
Journal of Translational Medicine, September 2018
DOI 10.1186/s12967-018-1641-1
Pubmed ID
Authors

Junfan Chen, Jian Liu, Yisen Zhang, Zhongbin Tian, Kun Wang, Ying Zhang, Shiqing Mu, Ming Lv, Peng Jiang, ChuanZhi Duan, Hongqi Zhang, Yan Qu, Min He, Xinjian Yang

Abstract

Ruptured aneurysms, the commonest cause of nontraumatic subarachnoid hemorrhage, can be catastrophic; the mortality and morbidity of affected patients being very high. Some risk factors, such as smoking, hypertension and female sex have been identified, whereas others, such as hemodynamics, imaging, and genomics, remain unclear. Currently, no accurate model that includes all factors for predicting such rupture is available. We plan to use data from a large cohort of Chinese individuals to set up a multidimensional model for predicting risk of rupture of unruptured intracranial aneurysms (UIAs). The China Intracranial Aneurysm Project-2 (CIAP-2) will comprise screening of a cohort of 500 patients with UIA (From CIAP-1) and focus on hemodynamic factors, high resolution magnetic resonance imaging (HRMRI) findings, genetic factors, and biomarkers. Possible risk factors for rupture of UIA, including genetic factors, biomarkers, HRMRI, and hemodynamic factors, will be analyzed. The first project of the China Intracranial Aneurysm Project (CIAP-1; chaired by the Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China) will prospectively collect a cohort of 5000 patients with UIA from 20 centers in China, and collect baseline information for each patient. Multidimensional data will be acquired in follow-up assessments. Statistically significant clinical features in the UIA cohort will also be analyzed and integrated into the model for predicting risk of UIA rupture. After the model has been set up, the resultant evidence-based prediction will provide a preliminary theoretical basis for treating aneurysms at high risk of rupture. This study will explore the risk of rupture of aneurysms and develop a scientific multidimensional model for predicting rupture of unruptured intracranial aneurysms. Clinical Trials registration A Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms (CIAP-2), NCT03133624. Registered: 16 April 2017. https://clinicaltrials.gov/ct2/show/NCT03133624.

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Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Researcher 8 13%
Student > Master 7 12%
Student > Postgraduate 4 7%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 21 35%
Readers by discipline Count As %
Medicine and Dentistry 22 37%
Nursing and Health Professions 5 8%
Neuroscience 2 3%
Business, Management and Accounting 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 7%
Unknown 25 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2018.
All research outputs
#20,533,782
of 23,105,443 outputs
Outputs from Journal of Translational Medicine
#3,362
of 4,057 outputs
Outputs of similar age
#296,864
of 341,556 outputs
Outputs of similar age from Journal of Translational Medicine
#54
of 83 outputs
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