Identifying homogeneous subgroups in neurological disorders: Unbiased recursive partitioning in cervical complete spinal cord injury

Neurorehabilitation and Neural Repair

Volumn 28, Issue 6, 2014, Pages 507-515

  Tanadini, Lorenzo G ^a,b   Steeves, John D ^c   Hothorn, Torsten ^b   Abel, Rainer ^d,g   Maier, Doris ^e,g   Schubert, Martin ^a,g   Weidner, Norbert ^f,g   Rupp, Rüdiger ^f,g   Curt, Armin ^a,g  

^a BALGRIST UNIVERSITY HOSPITAL   (Switzerland)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d Clinical Center Bayreuth   (Germany)

^e BG UNFALLKLINIK MURNAU   (Germany)

^f UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

^g EMSCI Study Group   (Canada)

Author keywords

Cervical; Clinical trial; Motor level; Outcome prediction; Sensorimotor complete; Upper extremity motor score

Indexed keywords

ARTICLE; CERVICAL SPINAL CORD INJURY; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; CLINICAL EXAMINATION; CLINICAL TRIAL (TOPIC); CONFIDENCE INTERVAL; HUMAN; INTERMETHOD COMPARISON; MOTOR PERFORMANCE; MULTICENTER STUDY (TOPIC); NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; NEUROLOGIC DISEASE; PREDICTION; REGRESSION ANALYSIS; RETROSPECTIVE STUDY; SENSORIMOTOR FUNCTION; STATISTICAL ANALYSIS; UNBIASED RECURSIVE PARTITIONING CONDITIONAL INFERENCE TREE; UPPER EXTREMITY MOTOR SCORE; CERVICAL SPINAL CORD; CLINICAL TRIAL; EUROPE; INJURIES; LONGITUDINAL STUDY; MULTICENTER STUDY; OUTCOME ASSESSMENT; PATHOPHYSIOLOGY; PROCEDURES; PROGNOSIS; SEVERITY OF ILLNESS INDEX; SPINAL CORD INJURY; UPPER LIMB; ACCURACY; ARM; CONTROLLED STUDY; MAJOR CLINICAL STUDY; PROSPECTIVE STUDY;

CERVICAL CORD; DATA INTERPRETATION, STATISTICAL; EUROPE; HUMANS; LONGITUDINAL STUDIES; OUTCOME ASSESSMENT (HEALTH CARE); PROGNOSIS; RETROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX; SPINAL CORD INJURIES; UPPER EXTREMITY;

EID: 84903617932     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968313520413     Document Type: Article

References (26)

1. Fawcett JW, Curt A, Steeves JD, 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. 2006;45:190-205 (Pubitemid 46340848)
2. Bracken MB, Holford TR. Neurological and functional status 1 year after acute spinal cord injury: estimates of functional recovery in National Acute Spinal Cord Injury Study II from results modeled in National Acute Spinal Cord Injury Study III. J Neurosurg. 2002;96(3 suppl):259-266 (Pubitemid 34245645)
3. Marino RJ, Ditunno JF Jr, Donovan WH, Maynard F Jr. Neurologic recovery after traumatic spinal cord injury: data from the Model Spinal Cord Injury Systems. Arch Phys Med Rehabil. 1999;80:1391-1396 (Pubitemid 29526635)
4. Tuszynski MH, Steeves JD, Fawcett JW, et al. Guidelines for the conduct of clinical trials for spinal cord injury as developed by the ICCP Panel: clinical trial inclusion/exclusion criteria and ethics. Spinal Cord. 2006;45:222-231 (Pubitemid 46340850)
5. Casha S, Zygun D, McGowan MD, Bains I, Yong VW, Hurlbert RJ. Results of a phase II placebo-controlled randomized trial of minocycline in acute spinal cord injury. Brain. 2012;135(pt 4):1224-1236
6. Lammertse DP, Jones LA, Charlifue SB, et al. Autologous incubated macrophage therapy in acute, complete spinal cord injury: results of the phase 2 randomized controlled multicenter trial. Spinal Cord. 2012;50:661-671
7. Wilson JR, Grossman RG, Frankowski RF, et al. A clinical prediction model for long-term functional outcome after traumatic spinal cord injury based on acute clinical and imaging factors. J Neurotrauma. 2012;29:2263-2271
8. van Middendorp JJ, Hosman AJ, Donders AR, et al EM-SCI Study Group. A clinical prediction rule for ambulation outcomes after traumatic spinal cord injury: a longitudinal cohort study. Lancet. 2011;377:1004-1010
9. ZÖrner B, Blanckenhorn WU, Dietz V, Curt A. Clinical algorithm for improved prediction of ambulation and patient stratification after incomplete spinal cord injury. J Neurotrauma. 2010;27:241-252
10. Hothorn T, Hornik K, Zeileis A. Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat. 2006;15:651-674 (Pubitemid 44554201)
11. Kirshblum SC, Waring W, Biering-Sorensen F, et al. Reference for the 2011 revision of the International Standards for Neurological Classification of Spinal Cord Injury. J Spinal Cord Med. 2011;34:547-554
12. Al-Habib AF, Attabib N, Ball J, Bajammal S, Casha S, Hurlbert RJ. Clinical predictors of recovery after blunt spinal cord trauma: systematic review. J Neurotrauma. 2011;28:1431-1443
13. Wilson JR, Cadotte DW, Fehlings MG. Clinical predictors of neurological outcome, functional status, and survival after traumatic spinal cord injury: a systematic review. J Neurosurg. 2012;17:11-26
14. Rudhe C, van Hedel HJ. Upper extremity function in persons with tetraplegia: relationships between strength, capacity, and the spinal cord independence measure. Neurorehabil Neural Repair. 2009;23:413-421
15. Steeves JD, Lammertse DP, Kramer JL, et al. Outcome measures for acute/subacute cervical sensorimotor complete (AIS-A) spinal cord injury during a phase 2 clinical trial. Top Spinal Cord Inj Rehabil. 2012;18:1-14
16. Kramer JL, Lammertse DP, Schubert M, Curt A, Steeves JD. Relationship between motor recovery and independence after sensorimotor-complete cervical spinal cord injury. Neurorehabil Neural Repair. 2012;26:1064-1071
17. Owzar K. Alternate statistical tools and limitations in genetic marker association studies in single-arm drug cancer trials. J Clin Oncol. 2008;26:1400-1401
18. De Roock W, Claes B, Bernasconi D, et al. Effects of KRAS, BRAF, NRAS, and PIK3CA mutations on the efficacy of cetuximab plus chemotherapy in chemotherapy-refractory metastatic colorectal cancer: a retrospective consortium analysis. Lancet Oncol. 2010;11:753-762
19. Tibshirani R. Regression shrinkage and selection via the LASSO. J R Stat Soc. 1996;58:268-288
20. Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning. New York, NY: Springer; 2013
21. Hothorn T, Leisch F, Zeileis A, Hornik K. The design and analysis of benchmark experiments. J Comput Graph Stat. 2005;14:675-699 (Pubitemid 41442156)
22. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2011. http://www.R-project.org/
23. Hothorn T, Hornik K, Strobl C, et al. party: a laboratory for recursive partitioning. R package. 2013. version 1.0-9. http:// CRAN.R-project.org/ package=party
24. Steeves JD, Lammertse D, Curt A, et al. Guidelines for the conduct of clinical trials for spinal cord injury (SCI) as developed by the ICCP panel: clinical trial outcome measures. Spinal Cord. 2006;45:206-221
25. Steeves JD, Kramer JK, Fawcett JW, et al. Extent of spontaneous motor recovery after traumatic cervical sensorimotor complete spinal cord injury. Spinal Cord. 2010;49:257-265
26. Catz A, Itzkovich M, Tesio L, et al. A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation. Spinal Cord. 2006;45:275-291. (Pubitemid 46572858)