Introduction:

lung cancer has a high incidence worldwide. In terms of mortality, it is the first location in both sexes, with a rate of 58.0 per 100,000 and 32.5 per 100,000 in 2017 in men and women respectively.

Objectives:

to identify factors related to the survival of patients with non-small cell lung cancer.

Methods:

an analytical and observational cohort study was conducted in patients treated with the diagnosis of non-small cell lung cancer in the Oncology service of the "Carlos Manuel de Céspedes" general university hospital in Bayamo, Granma, in the period from January 1, 2014 to December 31, 2019.

Results:

the most relevant and independent factor was to classify in stage IV by increasing the risk of dying to 1,304 times (CI: 1.011-2.025; p: 0.000) followed by stage IIIB (HR: 1.070; CI: 1.004-2.113; p: 0.000). The Cox regression model has an adequate discriminative capacity to predict patients who will die from those who will not in patients with non-small cell lung cancer (area: 0.727; CI: 0.516-0.737; p: 0.025).

Conclusions:

the stage of non-small cell lung cancer had an inversely proportional relationship with the survival of patients; older age increased the risk of dying. The Cox proportional regression model had an adequate discriminative capacity to specify the shortest survival of patients with the aforementioned diagnosis.

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