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. 2018 Apr 12;2018:6846275. doi: 10.1155/2018/6846275

Table 2.

Multivariate generalized estimating equation (GEE) analysis of predictors of functional outcome in MSTS and TESS.

Variablesa MSTS TESS
Estimate Standard error p value (95% CI) Estimate Standard error p value (95% CI)
Intercept 29.39 1.84 <0.0001 (25.78, 33.00) 101.81 7.20 <0.0001 (87.68, 115.94)
Time 0.05 0.01 0.001 (0.02, 0.08) 0.21 0.06 0.0004 (0.09, 0.33)
Age −0.15 0.02 <0.0001 (−0.21, −0.10) −0.54 0.10 <0.0001 (−0.75, −0.33)
Size −0.01 0.08 0.86 (−0.18, 0.15) −0.13 0.29 0.64 (−0.72, 0.45)
Stage group
 Group 3 3 −2.86 1.83 0.11 (−6.46, 0.73) −10.90 6.53 0.09 (−23.72, 1.90)
 Group 2 2 −0.76 0.93 0.41 (−2.60, 1.06) −4.50 3.40 0.18 (−11.18, 2.17)
 Group 1 1 0 0 0 0
Anatomic location
 Trunk 3 3.14 1.85 0.08 (−0.48, 6.77) 16.90 8.11 0.03 (1.00, 32.79)
 Lower extremity 2 0.59 1.07 0.57 (−1.51, 2.71) 0.89 4.34 0.83 (−7.62, 9.41)
 Upper extremity 1 0 0 0 0
Bone resection −6.13 1.24 <0.0001 (−8.57, −3.68) −19.28 4.38 <0.0001 (−27.89, −10.68)
Flap reconstruction −0.11 1.00 0.91 (−2.08, 1.86) 2.34 3.94 0.55 (−5.38, 10.07)
Postoperative radiation −1.14 1.26 0.36 (−3.62, 1.32) −6.07 4.65 0.19 (−15.18, 3.04)

aBone resection: 0 = no, 1 = yes; flap reconstruction: 0 = yes, 1 = no; CI: confidence interval.