Publication date: April 2018
Source:Cancer Epidemiology, Volume 53
Author(s): Ghassen Soussi, Nissaf Ben Alaya, Nawel Chaouch, Hajer Racil
IntroductionDespite the continuous efforts made with the TNM system, the issue of heterogeneity of prognosis within the stages of non-small cell lung cancer (NSCLC) could not be resolved. Our aim was to identify prognostic factors and develop an index to predict NSCLC survival with greater accuracy.MethodsWe conducted a survival study over 5 years on patients with NSCLC. Kaplan–Meier analysis followed by Cox regression modelling were used. Prognostic indices were derived, using either an additive or a multiplicative pattern, and were compared by their receiver operating characteristics (ROC) curves. We then proceeded to a risk stratification and validation of the index on the derivation cohort.ResultsTwo hundred and sixty-two NSCLC patients were included. Two models were constructed, using the following nine variables as prognostic factors: age, performance status, haemoglobin level, leucocyte count, calcium, lactate dehydrogenase, alkaline phosphatase levels, histological type and TNM stage. Four prognostic indices were derived, and the best one was picked and validated on a population of five risk groups. The higher the risk group, the shorter the survival.ConclusionsThis novel and simple prognostic tool could predict survival more accurately in patients with NSCLC.
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