Evaluation of Clinical Manifestations and Their Effect on the Prognosis of Lung Cancer Patients

Halil Yanardag1, Cuneyt Tetikkurt2*, Cigdem Papila3, Muammer Bilir1 & Seza Tetikkurt4

1Department of Internal Medicine Medicine, Cerrahpasa Medical Faculty, Istanbul Cerrahpasa University, Turkey
2Department of Pulmonary Medicine, Cerrahpasa Medical Faculty, Istanbul Cerrahpasa University, Turkey
3Department of Oncology, Cerrahpasa Medical Faculty, Istanbul Cerrahpasa University, Turkey
4Department of Pathology, Demiroglu Bilim University Medical Faculty, Turkey

Dr. Cuneyt Tetikkurt, Department of Pulmonary Medicine, Cerrahpasa Medical Faculty, Istanbul Cerrahpasa University, Turkey.

Keywords: Lung Cancer; Pulmonary Function Tests; Prognosis; Pathology


Survival of lung cancer patients are affected by many different factors that are extremely variable for each individual. The prognosis of lung cancer primarily depends upon the tumor type, patient immunity and treatment. The objective of our study was to determine the influence of patient symptoms, laboratory findings, imaging modalities and histopathologic tumor features on the prognostic outcome of lung cancer patients. The second aim was to evaluate whether the collaboration of these data predicted an accurate prognostic assessment.
A total of 1833 lung cancer patients evaluated at our clinic between 1984 and 2005 years were included in the study. The patients had blood chemistry, urine analysis, chest x-ray, pulmonary function tests, chest computed tomography and histopathologic verification of the lung cancer including tumor differentiation with microscopic features relevant to airway, nerve, blood or lymphatic vessel invasion. The prognostic outcome of the patients were appraised in regard to initial clinical symptoms, performance status, laboratory findings, pulmonary function test results, radiologic and histopathologic manifestations. BODE and Karnofsky index were used to determine patient performance. Pearson correlation and chi-square tests were used for statistical analysis.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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