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. 2020 Jun 11;9(6):1826. doi: 10.3390/jcm9061826

Table 3.

Path coefficients estimated using regression (linear or logistic) in a structural equation model of the relationship between frailty components, mortality and morbidity in older outpatients with cancer.

Models Estimate Standard Error Standardized Coefficient (β Coefficient) p Value
Model 1
Sarcopenia~CIRS(G) total > 14 0.64 0.1 0.30 <0.0001
Exhaustion~sarcopenia 0.47 0.06 0.47 <0.0001
Cachexia~exhaustion 0.16 0.05 0.37 0.001
Mortality *
~ sarcopenia 0.18 0.07 0.18 0.01
~ cachexia 1.30 0.29 0.52 <0.0001
~ cancer site 0.05 0.02 0.13 0.03
~ cancer extension 0.23 0.07 0.20 <0.0001
Supportive care only ~ sarcopenia 0.44 0.06 0.45 <0.0001
Model 2
Sarcopenia ~ CIRS(G) total > 14 0.64 0.1 0.30 <0.0001
Exhaustion ~ sarcopenia 0.47 0.06 0.48 <0.0001
Cachexia ~ exhaustion 0.17 0.05 0.41 <0.0001
Morbidity *
~ sarcopenia 0.36 0.06 0.37 <0.0001
~ cachexia 0.46 0.20 0.19 0.02
~ cancer site 0.05 0.02 0.14 0.01
~ cancer extension 0.06 0.06 0.06 0.28
Supportive care only ~ sarcopenia 0.44 0.06 0.45 <0.0001

* Multivariate analysis; ~ = regression; CIRS(G) = Cumulative Illness Rating Scale for Geriatrics.