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Prognostic models for prolonged disorders of consciousness: an integrative review | |
Song, Ming1,2![]() ![]() ![]() ![]() ![]() | |
发表期刊 | CELLULAR AND MOLECULAR LIFE SCIENCES
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ISSN | 1420-682X |
2020-04-18 | |
期号 | 8页码:17 |
摘要 | Disorders of consciousness (DoC) are acquired conditions of severe altered consciousness. During the past decades, some prognostic models for DoC have been explored on the basis of a variety of predictors, including demographics, neurological examinations, clinical diagnosis, neurophysiology and brain images. In this article, a systematic review of pertinent literature was conducted. We identified and evaluated 21 prognostic models involving a total of 1201 DoC patients. In terms of the reported accuracies of predicting the prognosis of DoC, these 21 models vary widely, ranging from 60 to 90%. Using improvement of consciousness level as favorable outcome criteria, we performed a quantitative meta-analysis, and found that the pooled sensitivity and specificity of the hybrid model that combined more than one technique were both superior to those of any single technique, including EEG and fMRI at the tasks and resting state. These results support the view that any single technique has its own advantages and limitations; and the integrations of multiple techniques, including diverse brain images and different paradigms, have the potential to improve predictive accuracy for DoC. Then, we provide methodological points of view and some prospects about future research. Totally, in comparison to a great many diagnostic methods for the DoC, the research of prognostic models is sparse and preliminary, still largely in its infancy with many challenges and opportunities. |
关键词 | Disorders of consciousness Prognostic model Outcome Conscious recovery Prediction |
DOI | 10.1007/s00018-020-03512-z |
关键词[WOS] | ACQUIRED BRAIN-INJURY ; VEGETATIVE STATE ; CLINICAL-DIAGNOSIS ; SYSTEMATIC REVIEWS ; PREDICT RECOVERY ; STIMULATION ; EEG ; OUTCOMES |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Natural Science Foundation of China[31870984] ; Natural Science Foundation of China[31771076] ; Natural Science Foundation of China[81600919] ; Natural Science Foundation of China[81671855] ; Youth Innovation Promotion Association CAS |
项目资助者 | Natural Science Foundation of China ; Youth Innovation Promotion Association CAS |
WOS研究方向 | Biochemistry & Molecular Biology ; Cell Biology |
WOS类目 | Biochemistry & Molecular Biology ; Cell Biology |
WOS记录号 | WOS:000527465100001 |
出版者 | SPRINGER BASEL AG |
七大方向——子方向分类 | 人工智能+医疗 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39374 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | He, Jianghong; Jiang, Tianzi |
作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 3.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing 100070, Peoples R China 4.Peoples Liberat Army Gen Hosp, Med Ctr 7, Dept Neurosurg, Beijing 100070, Peoples R China 5.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 6.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab Neuroinformat, Chengdu 625014, Peoples R China 7.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia |
第一作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
通讯作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Song, Ming,Yang, Yi,Yang, Zhengyi,et al. Prognostic models for prolonged disorders of consciousness: an integrative review[J]. CELLULAR AND MOLECULAR LIFE SCIENCES,2020(8):17. |
APA | Song, Ming.,Yang, Yi.,Yang, Zhengyi.,Cui, Yue.,Yu, Shan.,...&Jiang, Tianzi.(2020).Prognostic models for prolonged disorders of consciousness: an integrative review.CELLULAR AND MOLECULAR LIFE SCIENCES(8),17. |
MLA | Song, Ming,et al."Prognostic models for prolonged disorders of consciousness: an integrative review".CELLULAR AND MOLECULAR LIFE SCIENCES .8(2020):17. |
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