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Table 2 Best-fit models for clinical score, and cartilage and bone destruction predicted by different scoring methods

From: A multiparameter approach to monitor disease activity in collagen-induced arthritis

Dependent variable

Best-fit model

Adjusted R2

Significance

Clinical score

Composite score of knee histology

0.464

< 0.001

Cartilage destruction

Larsen score

0.525

< 0.001

 

Larsen score + micro-CT calcaneus score

0.667

< 0.001

 

Larsen score + micro-CT calcaneus score + clinical score

0.704

< 0.001

Bone destruction

Micro-CT calcaneus score

0.605

< 0.001

 

Micro-CT calcaneus score + Larsen score

0.713

< 0.001

  1. Best-fit models for clinical score, and cartilage and bone destruction in the hind paw as proposed by linear regression analysis with scoring methods and treatment group as independent variables. R2 indicates the squared correlation between the observed values of the dependent variable and the predicted values based on the regression model. Adjusted R2 is a modification of R2 that adjusts for the number of covariates in the regression model.