Table 4.

Correlation between pRNFL thickness and glaucoma diagnosis

	Correlation			Logistic regression
	r	95% CI	p value	Coefficient	Standard error	R2	p value
SLP
Total	0.10	− 0.096 to 0.29	0.15	− 0.084	0.042	0.050	0.037
Superior	0.13	− 0.066 to 0.32	0.088	N.N	N.N	0.044	N.N
Nasal	0.063	− 0.14 to 0.26	0.26	N.N	N.N	< 0.001	N.N
Inferior	0.25	0.052–0.42	0.0055	− 0.082	0.029	0.11	0.0019
Temporal	− 0.062	− 0.26 to 0.14	0.27	0.061	0.027	0.064	0.024
OCT
Total	0.45	0.28–0.59	< 0.001	− 0.14	0.036	0.39	< 0.001
Superior	0.37	0.19–0.53	< 0.001	− 0.066	0.016	0.34	< 0.001
Nasal	0.41	0.23–0.56	< 0.001	− 0.095	0.024	0.27	< 0.001
Inferior	0.47	0.30–0.61	< 0.001	− 0.077	0.019	0.38	< 0.001
Temporal	0.053	− 0.15 to 0.25	0.30	N.N	N.N	0.017	N.N

This table shows the correlation between pRNFL thickness and glaucoma diagnosis illustrated by Spearman correlation calculation and results from logistic regression of the peripapillary retinal nerve fibre layer (pRNFL) thickness measured by scanning laser polarimetry (SLP) and optical coherence tomography (OCT). r, Spearman correlation factor; CI, confidence interval; R², Tjur’s pseudo R² factor; statistically significant results when p < 0.05 (bold and underlined)