Meta-analysis of survival models of lung cancer.
Lung cancer is a common disease that is difficult to treat successfully. Despite the continuous improvement and development of diagnostic method, the disease is still diagnosed in advanced stages. The present study aimed to calculate the 5-years survival rate of patients with lung cancer, to construct different models of survival rates according to different factors and to perform a meta-analysis involving systematic statistical pooling of eligible studies concerning survival of lung cancer. A longitudinal retrospective study was conducted in the treatment centers of Faculty of Medicine and Gamal Abd-El Nasser Hospital. All available records of patients diagnosed and confirmed pathologically as lung cancer during the years 1992 to 2001,were reviewed, the total number amounted to 1099 patients, these patients were followed up for one year till the end of 2002. Life table revealed that the cumulative probability of survival was 18.7% and 16.7%, respectively at 36 -< 42 month and 42 -< 48 month. No one survived up to 5 years. The median survival time was 7.97 months .Kaplan-Meier survival curves yielded that the lowest probability of survival throughout the studied period was noticed among those aged 70 years or more, with stage IV and patients who were treated with radiotherapy alone. Cox regression delineated three significant predictors for survival within 5 years, which were age of patients, stage of tumor and grade of differentiation. Results of meta-analysis demonstrated that pooling the results of different studies yielded a trend toward a reduced relative risk of death by 22% among patients with stage I compared to stage II, and reduced relative risk of 33% for patients with stage I compared to stage III. It is essential to improve the strategies for prevention of smoking and health education program for cessation of smoking early for smokers. Diagnosis, staging and development of a management plan should be completed as quickly as possible. Focuses on the treatment of patients with lung cancer with chemotherapy and radiotherapy.
Deghaidy
Amal A
AA
Biostatistics Department, High Institute of Public Health, Alexandria University.
Nofal
Laila M
LM
Abd-Elmoneium
Salah E
SE
Mahdy
Nehad H
NH
D000328:Adult; D000368:Aged; D004534:Egypt; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008175:Lung Neoplasms; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D012189:Retrospective Studies; D016019:Survival Analysis; D017741:Survivors