Table 5.

Simple linear regression model to predict periostin and tumor necrosis factor-α levels based on site-specific clinical parameters

Variable	Fitted regression model	Adjusted R2	P
Sampled site GI	Periostin=25.78-3.30 × GI site	0.45	<0.001**
Sampled site PD	Periostin=27.49-0.88 × PD site	0.56	<0.001**
Sampled site CAL	Periostin=25.27-0.80 × CAL site	0.43	<0.001**
Sampled site SBI	Periostin=25.89-2.69 × SBI site	0.46	<0.001**
Sampled site PI	Periostin=25.90-3.48 × PI site	0.29	<0.001**
Sampled site GI	TNF-α=99.64 +15.30 × GI	0.28	<0.001**
Sampled site PD (mm)	TNF-α=92.38 + 3.99 × PD	0.33	<0.001**
Sampled site CAL (mm)	TNF-α=103.93 + 3.33 × CAL	0.21	<0.001**
Sampled site SBI	TNF-α=99.65+12.17 × SBI	0.27	<0.001**
Sampled site PI	TNF-α=101.07+14.58 × PI	0.14	<0.001**

**P<0.01 - Highly significant. GI – Gingival Index; PI – Plaque index; SBI – Sulcular bleeding index; PPD – Probing pocket depth; CAL – Clinical attachment Level; TNF – Tumor necrosis factor; R² – Coefficient of determination; P – Probability of occurrence