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PrognostIc Factors In Nsclc PatIents

Ali̇ İnal

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Abstract

Lung cancer is the most common among cause of cancer deaths in worldwide. NSCLC represent between 80% to 85% of all the diagnosed lung cancers cases. Systemic chemotherapy for patients with NSCLC has limited impact on overall survival. Patients eligible for chemotherapy should be selected carefully. The aim of this study analyzed prognostic factors for survival in NSCLC patients. We retrospectively reviewed 741 NSCLC patients between 2000 and 2012. Ten potential prognostic variables were chosen for analysis in this study. Univariate and multivariate analyses were conducted to identify prognostic factors associated with survival. Univariate and multivariate statistical methods were used to determine prognostic factors. Among the 10 variables of univariate analysis, three variables were identified to have prognostic significance: performans status (PS), diabetes mellitus (DM) and stage. Multivariate analysis included the 3 prognostic significance factors in univariate analysis. Multivariate analysis by Cox proportional hazard model showed that PS was considered independent prognostic factors for survival, as were DM and stage. In conclusion, PS, DM and stage were identified as important prognostic factors in NSCLC patients. These findings may also facilitate pretreatment prediction of survival and can be used for selecting patients for treatment.

About this research paper

What this paper is about

Lung cancer is the most common among cause of cancer deaths in worldwide. NSCLC represent between 80% to 85% of all the diagnosed lung cancers cases. Systemic chemotherapy for patients with NSCLC has limited impact on overall survival. Patients eligible for chemotherapy should be selected carefully. The aim of this study analyzed prognostic factors for survival in NSCLC patients. We retrospectively reviewed 741 NSCLC patients between 2000 and 2012. Ten potential prognostic variables were chosen for analysis in this study. Univariate and multivariate analyses were conducted to identify prognostic factors associated with survival. Univariate and multivariate statistical methods were used to determine prognostic factors. Among the 10 variables of univariate analysis, three variables were identified to have prognostic significance: performans status (PS), diabetes mellitus (DM) and stage. Multivariate analysis included the 3 prognostic significance factors in univariate analysis. Multivariate analysis by Cox proportional hazard model showed that PS was considered independent prognostic factors for survival, as were DM and stage. In conclusion, PS, DM and stage were identified as important prognostic factors in NSCLC patients. These findings may also facilitate pretreatment prediction of survival and can be used for selecting patients for treatment.

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Available abstract

Lung cancer is the most common among cause of cancer deaths in worldwide. NSCLC represent between 80% to 85% of all the diagnosed lung cancers cases. Systemic chemotherapy for patients with NSCLC has limited impact on overall survival. Patients eligible for chemotherapy should be selected carefully. The aim of this study analyzed prognostic factors for survival in NSCLC patients. We retrospectively reviewed 741 NSCLC patients between 2000 and 2012. Ten potential prognostic variables were chosen for analysis in this study. Univariate and multivariate analyses were conducted to identify prognostic factors associated with survival. Univariate and multivariate statistical methods were used to determine prognostic factors. Among the 10 variables of univariate analysis, three variables were identified to have prognostic significance: performans status (PS), diabetes mellitus (DM) and stage. Multivariate analysis included the 3 prognostic significance factors in univariate analysis. Multivariate analysis by Cox proportional hazard model showed that PS was considered independent prognostic factors for survival, as were DM and stage. In conclusion, PS, DM and stage were identified as important prognostic factors in NSCLC patients. These findings may also facilitate pretreatment prediction of survival and can be used for selecting patients for treatment.

Key concepts: Medicine, Multivariate analysis, Univariate, Internal medicine, Lung cancer, Univariate analysis, Oncology, Proportional hazards model

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