Table 4.

Significant correlates of overall cancer mortality-to-incidence rate ratio (MIR) in middle/low- and high-income countries.

Category	Variable	High-income			Middle/low-income
		0.01 ↓ MIR	95% Confidence Interval	p-value	0.01 ↓ MIR	95% Confidence Interval	p-value
Organization	WHO score	–	–	–	0.07	(3.8%, 44.4%)	0.022
Financial	GDP	$3040	($1828, $9091)	0.004	–	–	–
Resources	THE	$379	($248, $800)	<0.001	–	–	–
Healthcare	TEBD	0.59	(0.31, 4.93)	0.027	–	–	–
Infrastructure	Physician Density	–	–	–	−39	(−74, −26)	<0.001

This table shows significant correlates of overall cancer MIR, as well as the increase in each variable needed to cause a 0.01 decrease in cancer MIR. For example, in high-income countries, a $3040 increase in GDP per capita is associated with a 0.01 decrease in overall cancer MIR (p = 0.004). While GDP, THE, and TEBD all showed significant inverse correlations with MIR in high-income countries, THE showed the strongest correlation (highest R and lowest p-value). In middle/low-income countries, only the WHO score correlated with decreased overall cancer MIR, while physician density paradoxically correlated with increased MIR.