Evidence map›Paper›PMID 30257699›Full record

Trial reportJournal of translational medicine2018

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

Junfan Chen, Jian Liu, Yisen Zhang, Zhongbin Tian, Kun Wang, Ying Zhang, Shiqing Mu, Ming Lv, Peng Jiang, ChuanZhi Duan and 4 more

Registry-linked trialAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03133624 (This is a Registry Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms in China), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT03133624 unknown statusnot on this map

This is a Registry Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms in China

Typeobservational_patient_registrySponsorBeijing Neurosurgical InstituteRan2017 to 2021Enrolled500ConditionsIntracranial Aneurysm
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Multidimensional predicting model of intracranial aneurysm stability with backpropagation neural network: a preliminary study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  11. Review
  12. Article
  13. Observational
  14. Article
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

14 authors.

Junfan ChenDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Jian LiuDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Yisen ZhangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Zhongbin TianDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Kun WangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Ying ZhangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Shiqing MuDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Ming LvDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Peng JiangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
ChuanZhi DuanDepartment of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hongqi ZhangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yan QuDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shanxi, China.
Min HeDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xinjian YangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China. yangxinjian@voiceoftiantan.org.ORCID 0000-0001-7306-0125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRuptured 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).

methodsThe 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. DISCUSSION: 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.

Indexed as

Models, BiologicalRegistriesAneurysm, RupturedChinaHumansIntracranial AneurysmRisk FactorsHemodynamicsProspective studyRupture riskUn-ruptured aneurysms

Identifiers

PMID30257699
PMCPMC6158879

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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.