《Table 2 All accessors of the factors in the surgical prognostic model for cervical spinal cord inju

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《Establishment and verification of a surgical prognostic model for cervical spinal cord injury without radiological abnormality》

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JOA:Japanese Orthopaedic Association.

Binary logistic regression analysis was adopted for statistical modeling（Royston et al.，2009）.Seven potential factors were recorded:age，sex，strength of external force causing injury，duration of disease，extent of cervical spinal stenosis，Japanese Orthopaedic Association score，and physiological cervical curvature.The duration of disease was stratified as<2 or>2 weeks（Chen et al.，2014）.The external wounding forces were stratified as weak or strong.Cervical spinal stenosis was evaluated using the Pavlov ratio.Some scholars have used the Japanese Orthopaedic Association improvement rate to evaluate the prognosis of spinal cord injury as follows:≥75%is excellent，50%to 74%is good，25%to49%is effective，and<25%is poor or invalid（Grosso et al.，2013）.The treatment results were evaluated based on the improvement rates，especially at 6 months postoperatively，with a threshold value of 60%；if the improvement rate was≥60%，the disease was considered almost cured，while an improvement rate of<60%indicated the lack of curative effect.We regarded the rate of improvement in the Japanese Orthopaedic Association score after the operation as a dichotomous dependent variable and the seven potential factors as independent variables.Stepwise selection of variables was used to obtain a regression model.All accessors of the factors are listed in Table 2.Because of the different measurement units of the partial regression coefficients in the multiple regression equations，the coefficients could not be compared.Therefore，we eliminated the influence of metrology with standardized partial regression coefficients and compared the relative contribution size of each independent variable through odds ratios（ORs）.