Clinical Predictors of Neurological Outcome within 72 h after Traumatic Cervical Spinal Cord Injury-Reference-Cited by-同舟云学术

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Clinical Predictors of Neurological Outcome within 72 h after Traumatic Cervical Spinal Cord Injury

Published:2016-12 Issue:1 Volume:6 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Qiu Zhi,Wang Fangyong,Hong Yi,Zhang Junwei,Tang Hehu,Li Xiang,Jiang Shudong,Lv Zhen,Liu Shujia,Chen Shizheng,Liu Jiesheng

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep38909.pdf

Reference24 articles.

1. Hasler, R. M. et al. Epidemiology and predictors of cervical spine injury in adult major trauma patients: a multicenter cohort study. The journal of trauma and acute care surgery 72, 975–981, doi: 10.1097/TA.0b013e31823f5e8e (2012).

2. Wilson, J. R., Cadotte, D. W. & Fehlings, M. G. Clinical predictors of neurological outcome, functional status, and survival after traumatic spinal cord injury: a systematic review. Journal of neurosurgery. Spine 17, 11–26, doi: 10.3171/2012.4.aospine1245 (2012).

3. Fawcett, J. W. et al. Guidelines for the conduct of clinical trials for spinal cord injury as developed by the ICCP panel: spontaneous recovery after spinal cord injury and statistical power needed for therapeutic clinical trials. Spinal cord 45, 190–205, doi: 10.1038/sj.sc.3102007 (2007).

4. Burns, A. S., Lee, B. S., Ditunno, J. F., Jr. & Tessler, A. Patient selection for clinical trials: the reliability of the early spinal cord injury examination. Journal of neurotrauma 20, 477–482, doi: 10.1089/089771503765355540 (2003).

5. Furlan, J. C., Noonan, V., Singh, A. & Fehlings, M. G. Assessment of impairment in patients with acute traumatic spinal cord injury: a systematic review of the literature. Journal of neurotrauma 28, 1445–1477, doi: 10.1089/neu.2009.1152 (2011).

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1. Association of systemic inflammatory response index and clinical outcome in acute traumatic spinal cord injury patients;Scientific Reports;2024-08-17

2. Application of a novel nested ensemble algorithm in predicting motor function recovery in patients with traumatic cervical spinal cord injury;Scientific Reports;2024-07-29

3. Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning;Spinal Cord;2024-06-18

4. The Accuracy of the S100B Protein Biomarker in the Prognosis of Patients with Acute Spinal Cord Injury;Asian Journal of Neurosurgery;2024-03

5. Is it true that treatment in patients with Subaxial Cervical Spine Injury Classification System (SLICS) 4 is the surgeon’s choice?;Journal of Back and Musculoskeletal Rehabilitation;2024-01-05

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