Ordinal Logistic Regression Modeling for Perceived Increase in Longevity with Treatment (PILT) among Men with Localized Prostate Cancer
Unadjusted effects | Adjusted effects OR (95% CI) | ||||
---|---|---|---|---|---|
PILT ≤0* | PILT = 1† | PILT ≥2‡ | OR (95% CI) | ||
Age | 18 | 87 | 65 | 1.08 (1.04–1.13) | 1.09 (0.99–1.19) |
CALE | 18 | 87 | 65 | 0.93 (0.89–0.97) | 1.02 (0.93–1.12) |
Anxiety score | 18 | 87 | 65 | 0.89 (0.82–0.98) | 0.91 (0.81–1.02) |
Depression score | 18 | 83 | 64 | 0.93 (0.82–1.05) | 1.06 (0.89–1.26) |
Social support | 18 | 87 | 65 | 1.01 (0.99–1.03) | 1.00 (0.98–1.02) |
* PILT ≤0 (reference group) indicates that CALE and self-reported survival expectation with treatment are within the same range or CALE is less.
† A (PILT) = 1 suggests that CALE exceeds self-reported survival expectation with treatment by one response category.
‡ A (PILT) ≥2 suggests that CALE exceeds self-reported survival expectation with treatment by at least 2 response categories (ie., about 10 years). All covariates in the ordinal logistic regression model are defined as continuous variables.
PILT, perceived increase in longevity with treatment (categorized); CALE, comorbidity adjusted life expectancy; OR, odds ratio.