SURVIVAL ANALYSIS OF PATIENTS WITH LUNG CANCER USING COX REGRESSION MODEL

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BABANEJHAD FATEMEH; YAZDANI CHARATI JAMSHID; SHABANKHANI BIZHAN; ALIYANNEJHAD RASOUL; SABER SASAN; GHASEMKHANI SAEED

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Journal: JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES Year:2018 | Volume:28 | Issue:161 Page(s): 66-74

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Title

SURVIVAL ANALYSIS OF PATIENTS WITH LUNG CANCER USING COX REGRESSION MODEL

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Keywords

LUNG CANCERQ2

SURVIVAL TIMEQ2

COX REGRESSION ANALYSISQ2

KAPLAN–MEIER ESTIMATORQ3

Abstract

Background and purpose: LUNG CANCER is the third cause of death and amongst the fivecommon cancers in Iran. The aim of this study was to analyze the survival rate of patients with lungcancer and identifying the variables influencing their survival. Materials and methods: In a retrospective cohort study, the data was extracted from themedical records of 259 patients with LUNG CANCER who had attended Tehran Shariati Hospital during 2005-2015. The survival rate was estimated using the Kaplan-Meier method and log-rank test was applied forcomparison of survival function. The event was specified as death due to LUNG CANCER. The Cox’ sproportional hazard model was used to investigate the effect of various variables on patient SURVIVAL TIMEusing the R software. Results: The mean age of the patients was 62. 86± 12. 46 and the estimated median SURVIVAL TIMEwas 2. 4 years (2. 93± 3. 33). Hundred and forty patients (54%) died. According to the Kaplan-Meiermethod, 1, 2, and 3 years survival rates were estimated to be 63%, 53%, and 46%, respectively. Based onCox proportional hazards analysis, the patient’ s SURVIVAL TIME was significantly associated with PCO2(HR= 1. 021), age at diagnosis (HR= 0. 805), type of tumor (NSCLC vs. SCLC) (HR= 0. 567), and brainmetastasis (HR= 1. 792). Conclusion: The SURVIVAL TIME for patients with LUNG CANCER was found to be quite short. Thistime decreases by increase in patients’ age. Also, the risk of death in a patient either with SCLC ormetastasis was higher than other patients.

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APA: Copy

BABANEJHAD, FATEMEH, YAZDANI CHARATI, JAMSHID, SHABANKHANI, BIZHAN, ALIYANNEJHAD, RASOUL, SABER, SASAN, & GHASEMKHANI, SAEED. (2018). SURVIVAL ANALYSIS OF PATIENTS WITH LUNG CANCER USING COX REGRESSION MODEL. JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES, 28(161 ), 66-74. SID. https://sid.ir/paper/45467/en

Vancouver: Copy

BABANEJHAD FATEMEH, YAZDANI CHARATI JAMSHID, SHABANKHANI BIZHAN, ALIYANNEJHAD RASOUL, SABER SASAN, GHASEMKHANI SAEED. SURVIVAL ANALYSIS OF PATIENTS WITH LUNG CANCER USING COX REGRESSION MODEL. JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2018;28(161 ):66-74. Available from: https://sid.ir/paper/45467/en

IEEE: Copy

FATEMEH BABANEJHAD, JAMSHID YAZDANI CHARATI, BIZHAN SHABANKHANI, RASOUL ALIYANNEJHAD, SASAN SABER, and SAEED GHASEMKHANI, “SURVIVAL ANALYSIS OF PATIENTS WITH LUNG CANCER USING COX REGRESSION MODEL,” JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES, vol. 28, no. 161 , pp. 66–74, 2018, [Online]. Available: https://sid.ir/paper/45467/en

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