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Table 4 The estimates of regression coefficients and standard errors for modeling outcomes of VAS for pain and WOMAC subscales

From: Duhuo Jisheng Tang for treating osteoarthritis of the knee: a prospective clinical observation

Variable definition   WOMAC subscalesb
VAS for paina
  Pain Stiffness Physical function
Coeff. S.E. Coeff. S.E. Coeff. S.E. Coeff. S.E.
Severity at baseline -0.40*** 0.08 -0.42*** 0.07 -0.51*** 0.07 -0.34*** 0.07
Mean score improvement at week 2 vs. week 1 -6.16*** 1.84 -4.62** 1.55 -8.52*** 2.11 -4.24** 1.34
Mean score improvement at week 4 vs. week 1 -5.13*** 1.84 -5.28*** 1.55 -7.22*** 2.11 -4.04** 1.34
Age 0.00 0.24 0.21 0.20 0.33 0.23 0.39* 0.18
Gender (female vs. male) -15.74 19.73 3.83 16.67 2.18 19.38 13.26 15.06
Body Mass Index (<25 vs. >= 25) -0.68 3.44 -1.03 2.92 -1.25 3.44 -1.19 2.65
Rescue drug (used vs. not used) 6.03 3.38 4.27 2.85 3.79 3.65 4.86 2.52
Aversion to cold (mild vs. moderate or severe)c 3.86 3.94 7.59 3.31 8.12* 3.88 3.93 3.09
Flaccidity of lower back/knee (mild vs. moderate or severe) c 3.03 3.46 2.03 2.87 -1.36 3.34 0.65 2.63
  1. aVAS = visual analogue scale as the dependent variables.
  2. bRefers to the three subscales of the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index as the dependent variables.
  3. cPattern identification as the independent variables.
  4. *indicates P < 0.05; ** indicates P < 0.01; and *** indicates P < 0.001.