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. 2015 Sep 4;17(1):239. doi: 10.1186/s13075-015-0760-9

Table 2.

Linear regression models showed unadjusted and adjusted association between RANKL concentration and ACPA

Least square mean of RANKL pmol/L Coefficient p value R2
(95% CI) (adj R2)
ACPA- ACPA-
positive negative
Model A. (n = 59) 290 130 0.21
(201–417) (106–160) (0.19)
ACPA 0.35 <0.001
(positive vs. negative)
Intercept 2.12
Model B. (n = 59) 232 140 0.36
(155–346) (114–171) (0.31)
ACPA 0.22 0.04
(positive vs. negative)
Age -0.005 0.17
(per 1-year increase)
DAS28-ESR 0.07 0.06
BMI -0.02 0.04
Intercept 2.53

R2: proportion of variance explained by the variables in the statistical model

adj R2: adjusted R2, similar to R2 but takes into account the number of variables in the model

RANKL receptor activator of nuclear factor kappa B ligand, ACPA anti-citrullinated protein antibodies, DAS28 disease activity score 28, ESR erythrocyte sedimentation rate, BMI body mass index