1.Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?
Siavosh ABEDI ; Ghasem JANBABAEI ; Mahdi AFSHARI ; Mahmood MOOSAZADEH ; Masoumeh RASHIDI ALASHTI ; Akbar HEDAYATIZADEH-OMRAN ; Reza ALIZADEH-NAVAEI ; Ehsan ABEDINI
Journal of Preventive Medicine and Public Health 2019;52(2):140-144
OBJECTIVES:
: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer.
METHODS:
: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups.
RESULTS:
: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively.
CONCLUSIONS
: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
2.Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?
Siavosh ABEDI ; Ghasem JANBABAEI ; Mahdi AFSHARI ; Mahmood MOOSAZADEH ; Masoumeh RASHIDI ALASHTI ; Akbar HEDAYATIZADEH-OMRAN ; Reza ALIZADEH-NAVAEI ; Ehsan ABEDINI
Korean Journal of Preventive Medicine 2019;52(2):140-144
OBJECTIVES:: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer. METHODS:: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups. RESULTS:: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively. CONCLUSIONS:: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
Cohort Studies
;
Female
;
Follow-Up Studies
;
Humans
;
Incidence
;
Iran
;
Lung Neoplasms
;
Lung
;
Male
;
Models, Statistical
;
Multivariate Analysis
;
Retrospective Studies
;
Small Cell Lung Carcinoma
;
Survival Rate
3.Prevalence of Enterobius vermicularis among Children in Iran: A Systematic Review and Meta-analysis.
Mahmood MOOSAZADEH ; Ghasem ABEDI ; Mahdi AFSHARI ; Seif Ali MAHDAVI ; Fereshteh FARSHIDI ; Elham KHERADMAND
Osong Public Health and Research Perspectives 2017;8(2):108-115
OBJECTIVES: Enterobius vermicularis is a parasitic disease that is common in crowded areas such as schools and kindergartens. Primary investigations of electronic evidence have reported different prevalences of E. vermicularis in Iran. Therefore, we aimed to estimate the total prevalence of this infection among Iranian children using a meta-analysis. METHODS: Relevant studies were identified in national and international databases. We selected eligible papers for meta-analysis after investigating titles, abstracts, and full texts; assessing study quality; and applying inclusion/exclusion criteria. Data were extracted by two independent researchers. The results were combined using a random effects model in Stata v. 11 software. RESULTS: Among 19 eligible articles including 11,676 participants, the prevalences of E. vermicularis among all children, boys, and girls were 1.2%–66.1%, 2.3%–65.5%, and 1.7%–65.5%, respectively. Pooled prevalences (95% confidence interval) of E. vermicularis among all children, boys, and girls were 17.2% (12.6%–21.8%), 17.2% (12.6%–21.8%), and 16.9% (9.03%–24.8%), respectively. CONCLUSION: This meta-analysis showed that a great majority of Iranian children are infected with E. vermicularis, possibly due to poor public health.
Child*
;
Enterobius*
;
Female
;
Humans
;
Iran*
;
Parasitic Diseases
;
Prevalence*
;
Public Health
4.Epidemiological and Clinical Features of People with Malta Fever in Iran: A Systematic Review and Meta-Analysis
Mahmood MOOSAZADEH ; Roja NIKAEEN ; Ghasem ABEDI ; Motahareh KHERADMAND ; Saeid SAFIRI
Osong Public Health and Research Perspectives 2016;7(3):157-167
Objectives:
Numerous studies have reported the epidemiological and clinical features of Malta fever incidence in Iran. Review and synthesis of the related literature through meta-analysis can provide an appropriate measurement for aforementioned indices. Therefore, the present study aimed to determine the epidemiological and clinical features of people with Malta fever in Iran.
Methods:
The required documents were obtained through searching national and international databases. In each study, standard deviation of the indices was calculated using binomial distribution formulas. Finally, the heterogeneity index was determined between studies using Cochran (Q) and I2 tests.
Results:
Combining the results of 47 articles in the meta-analysis indicated that 57.6% (55.02–60.1%) and 42.3% (49.8–44.9%) of the patients were male and female, respectively. Most of the patients lived in rural areas; 68.4% (63.6–73.2%) compared to 31.4% (26.7–36.3%). In addition, 20.8% (17.4–24.2%) of the patients were ranchers and farmers, 16.9% (14.5–19.4%) were students, and 31.6% (27–36.2%) were housewives. Of the patients studies, 50.5% (35.6–65.2%) experienced contact with animals and 57.1% (46.4–67.9%) used unpasteurized dairy products. Fever, joint pain, and sweating were detected among 65.7% (53.7–77.8%) and 55.3% (44.4–66.2%), respectively.
Conclusion
The present study revealed that the frequency of male patients with brucellosis was considerably more than that of female patients. The number of patients with Malta fever in rural areas was significantly more than in urban areas. High-risk behavior, unprotected contact with animals, and using unpasteurized dairy products were among the most significant factors affecting Malta fever incidence in Iran. Fever, joint pain, and sweating were detected among most of the patients with Malta fever.

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