Parenclitic network analysis
REGRESSION
Parenclitic network analysis is a novel static network analytical method (Schematic representation of the network mapping method used in this study for the reference population (top panel) and individual patients (lower panel). Top panel: The correlation between a pair of biomarkers (e.g., A-B, A-C, or B-C) was used for network mapping of the reference population (i.e., survivors in the standard care group). The blue dots represent individual reference data, and the black regression lines represent the expected relationship models (rThe ATTIRE survivors' population at 6 months was used as the reference population for the development of the parenclitic model, and deviations from this model for individual patients (survivors and nonsurvivors) were computed and used to weigh the correlation network map of clinical variables. Furthermore, the parenclitic indexes, including deviations along variable pairs and a global network topology of all patients (treatment and standard care), were computed using an in-house code in MATLAB (MathWorks, CA). For the measurement of global network topology, indexes such as network diameter, mean centrality, and shortest path length were calculated. Please see Supplementary Table S1 (Supplementary Digital Content, To validate the prognostic value of the parenclitic indexes, a split technique was used whereby ∼50% of patients in the standard treatment arm were randomly selected (training sample, n = 194), and the remainder were used as the validation sample (n = 203). Survivors in the training group were used as a model for the calculation of the coefficients that were used for the calculation of parenclitic deviations in the validation group. Statistical analysis was performed to test whether the prognostic values persist following the random split in the validation sample. This is to confirm whether the result generated was independent of the population studied.