Showing 9 results for Survival
Khadijeh Arjmandi Rafsanjani, Ali Chehrei, Majid Chalian, Shayan Shojaei, Ali Fahimi, Pedram Golnary,
Volume 5, Issue 3 (10-2002)
Abstract
Introduction: Wilms' tumor is the most common malignant and primary renal tumor in children. Studies, which have been done in some countries, have introduced numerous factors such as age of incidence, stage, lymphadenopathy, histopathology and etc. Effective in the survival rate of this tumor according to the importance of this tumor in children, we decided to perform a study about the survival rate of Wilms' tumor and the effective factors on it.
Materials and methods: This is an analytic study on 128 patients affected with Wilms' tumor whom referred to the oncology ward of Hazrat-e-Ali Asghar Hospital between 1977 and 2001. In addition to the current status of the patients, demographic characteristics, signs and symptoms, laboratory studies at the time of diagnosis and the stage of the disease were recorded and ultimately survival analysis was performed using the Kaplan-Meier procedure and life table. Cox Regression was used to determine the effective factors.
Results: The mean survival rate was 82.99 months. The number of patients was equal in both genders (64 patients in each gender) and the survival average did not have any significant statistical relationship with gender (power=%92.4). Most of the tumors were in stage 3 at the time of diagnosis. The survival of the patients was reducing significantly with the progression of the stage of tumor (P=0.002). The existence of metastasis (P=0.000, odds ratio=0.207), splenomegaly (P=0.018, odds ratio=0.336), and recurrent (P=0.037, odds ratio=0.184), were significantly reducing the survival of the patient. To determine the severity of effective factors on the survival rate of the patients Cox Regression Method was used in which, absence of metastasis and positive blood group were from well-prognosis predictive factors in these patients.
Conclusion: 5-year survival rate of the patients was 63.28% in this study. Which was lower in comparison with the results of other studies in other countries. This can be the result of delay in consulting with medical centers, the diagnosis method and or the Referral State of this center. Recent studies have shown that age and tumor size has minimal values in the prognosis of the patients due to improvement in the quality of treatment and our study support this idea. Genetic factors will probably be used in determining the survival of these patients and also in thcir treatment.
Amir Almasi-Hashiani, Jafar Hassan Zaede, Abdolraze Rajaee Fard, Heshmat Ollah Salahi,
Volume 14, Issue 2 (5-2011)
Abstract
Background: Noticing the fact that graft survival rate of kidney transplantation from live donors is more than deceased donors, this study was conducted to determine the relationship between the graft survival rate of renal transplantation and the donor source in patients transplanted from March 1999 to March 2009 in Namazi Hospital Transplantation Center of Shiraz. Materials and Methods: In this retrospective cohort study which was designed to determine the relationship between graft survival of kidney transplantation and the donor source (related live donor, unrelated live donor, and deceased donor) in 1356 patients who were transplanted in Shiraz Transplant Center, Namazi Hospital. Kaplan-Meier method was used to determine the survival rate, log-rank test was used to compare survival curves and Cox regression model was used for ruling out the intervening factors. Results: Five-year graft survival rates of renal transplantation from related, unrelated, and deceased donors were 92.4, 92.6 and 82.1%, respectively. Also, a significant relationship was seen between donor source and survival rate of the renal allograft (P>0.001). Conclusion: The findings of this study transplanted patients with kidneys from living donors (related or unrelated) have a higher graft survival rate compared with deceased donors.
Saman Maroufizadeh, Ebrahim Hajizadeh, Ahmad Reza Baghestani, Seyed Reza Fatemi,
Volume 15, Issue 2 (6-2012)
Abstract
Background: Gastric cancer is a common and lethal disease throughout the world. This study was designed and carried out to determine the five-year survival rate of gastric cancer patients who had undergone surgical treatment at Taleghani Hospital of Tehran, and to assess its associated factors. Materials and Methods: In this historical-cohort study, information obtained from a total of 213 gastric cancer patients who underwent surgery at Taleghani Hospital of Tehran between 2003 and 2008 was included. In the analyses, Kaplan-Meier method, log-rank test, Cox proportional hazards model, and Lin-Ying additive hazards model were used. Results: The five-year survival rate and the median life expectancy in the studied patients were 14.6% and 29.6 months, respectively. Two covariates showed significant impacts on the gastric cancer patients’ data in both models: age at diagnosis and tumor size. We found that pathologic stage was significant under the Lin-Ying model (P=0.043) however, it was not significant under the Cox model (P=0.069). Other clinicopathological characteristics were not statistically significant (P>0.05). Conclusion: Since Cox and Lin-Ying models consider different aspects of the association between risk factors and the study outcome, it seems desirable to use both of them as complementary models but not as alternative models to obtain a more comprehensive understanding of data. This study showed that the early detection of patients in younger ages and in primary stages is important to decrease the risk of death in patients with gastric cancer and to increase the survival rate.
Zeinab Moghadami Fard, Jamilleh Abolghasemi, Mohsen Asadi Lari, Mehdi Mohammadi, Mahmood Reza Gohari, Masoud Salehi,
Volume 15, Issue 8 (1-2013)
Abstract
Background: There are various factors effective in the appearance of metastasis that have been surveyed and recognized in different studies. However, the appearance of metastasis by determination of these factors cannot be predicted. One of the models used for the analysis of recurrent data and consideration of heterogeneity between patients is frailty model. Materials and Methods: In this survival study, 133 women with breast cancer were treated in Fayazbakhsh Hospital, Tehran, during 2005-2007. All patients were followed until April 2011. Frailty model was employed for the analysis of data and gamma frailty distribution was assumed with the average one and Ө variance. All statistical methods were run in R software. Results: Disease-free survival rates for 3 and 5 years were 0.78 and 0.72, respectively. During the follow-up period, the risk of metastasis was estimated to be 43%. Two factors were identified as the prognostic factors in the appearance of metastasis: tumor malignancy grade and the number of positive lymph nodes. Frailty variance was 4.27 (P=0.001). Conclusion: The significant variance of frailty component in the model indicates that patients who have identical explanatory variables face different levels of risk experiencing metastasis. Also, specific characteristics of the patients are important in the incidence of metastasis.
Ghodratollah Roshanaei, Azam Komijani, Abdolazim Sadighi Pashaki, Javad Fardmal,
Volume 16, Issue 11 (2-2014)
Abstract
Background: It can be used different models such as nonparametric, semi-parametric and parametric to estimation of survival. Depending on the nature of the data, some methods may be more appropriate. Using of appropriate model result more accuracy estimation of survival and it's affected. so the aim of this study estimation of survival and determination of its related risk factor. Materials and Methods: In this study, 169 patients with colorectal cancer who had treated in Hamadan MRI Center from March 2005 to Jun 2013 were evaluated. Survival time of patients is considered from diagnosis time to death or end of study. The effect of Demographic and clinical risk factors on survival is assessed by parametric model. follow up of patient Data were analyzed using Spss16 and R statistical software.
Results: The median survival was 4.3±40 months. Univariate analysis showed that the effect of staging of tumor, tumor grade, histology type of tumor, metastasis and relapse on survival were significant but in multivariate model histology type of tumor and metastasis were significant.
Conclusion: using of appropriate statistical model for detection of affected risk factor on patient with colorectal cancer can be prevented progression of disease and increased of survival of them.
Zahra Fazeli, Mahbobe Najafian Zade, Babak Eshtati, Amir Almasi Hashiani,
Volume 16, Issue 11 (2-2014)
Abstract
Background: The prevalence and incidence of cancer in different parts of the world have different patterns. To recognize the frequency of malignancies in different social groups according to climatic conditions is considered as the primary component of prevention programs at different levels. This study was conducted to investigate the epidemiology, survival rates and geographical epidemiology of breast cancer in Markazi province.
Materials and Methods: In this epidemiological study, needed data were obtained from cancer registration program and death registration data. The data were analyzed by using SPSS software version 16 and Winpepi and significant level was 0.05. And to draw a map to show the breast cancer incidence rate in Markazi district, Arc view software was used.
Results: Out of the 400 cases recorded during the 5-year, 8.5% died due to breast cancer. 5-year survival rate was 87% and there was a significant correlation between survival rate and age. Most records were related to the age group 49-40 years and the highest incidence rate was in Arak. The trends of incidence rate was not significant.
Conclusion: The results showed that 5-year breast cancer survival rate is more than some other places which could be due to new and improved methods of treatment and methods of screening and early detection of disease. Other aspects of the epidemiology of the disease is similar to other parts of Iran.
Zahra Abdolalian, Mohammad Rafeie, Ahmad Reza Baghestani, Mohamad Amin Pourhosseingholi, Tahoura Daneshvar,
Volume 19, Issue 9 (12-2016)
Abstract
Abstract
Background: 4cure models are a model to analyze survival data that these models exist for long term survivors. Cure models are a special type of survival model where it is assumed that there are a proportion of subjects who had never event, thus, survival curve will eventually reach a plateau. Therefore, standard survival models are not appropriate because they do not account for the possibility of cure.The aim of the present research is to apply non-mixture cure model to analyze survival of patients with colorectal cancer.
Materials and Methods: We studied 232 patients with colorectal cancer who were visited and treated at Taleghani Hospital Research Center for Gastroenterology and Liver Disease in Tehran. These patients were diagnosed from 1987 to 2012 and followed up until 2013. The Effect of age, gender, family history, body mass index and site of infection were studied. Kaplan-Meier and Non-Mixture cure Model were used for analzing data.
Results: The ten-year survival rate after diagnosis in the studied patients was 64 % .A total of 60 (25.8 %) deaths due to colorectal cancer were observed. The mean of age at the time of diagnosis was 51.6 years. Based on non-mixed cure model, the rangs of age was 45-65 years old and BMI were significant.
Conclusion: When the population is divided into two groups (susceptible and non- susceptible individuals), using Cox semi-parametric model is not appropriate. Therefore, we should use cure models.
Mitra Rahimzadeh, Behrooz Kavehie,
Volume 20, Issue 3 (6-2017)
Abstract
Abstract
Background: Heart attacks are the cause of 40% of deaths in Iran and due to its upswing in Iran and the world, the determination of its short-term survival rate in order to assess treatment methods is of great importance. The purpose of this study is to estimate patients’ short-term survival rate after heart attacks by Meta-analysis method.
Materials and Methods: This study is a systematic review. The analysis was based on data extracted from English and Persian data bases. To analyze the information obtained, including the average age of patients, and one-month and one-year short-term survival rates, the STATA 11.2 and the random effect model were used.
Results: The results of the study on 18 studies entering the Meta-analysis including 62486 patients, demonstrated that one-month and one-year short-term survival rate in Iran are respectively 87.7 and 85.2 percent and no significant difference was observed between the two genders. The average age of patients was reported 62.43 years and no significant difference was observed between the two genders in the occurance of health attack.
Conclusion: The results of this Meta-analysis showed that although the survival rate of an Iranian patient after a myocardial Infarction is the same as patients in developed countries, the average age of the patients in Iran is lower, which indicates that the load of disease in Iran is greater than in other countries regarding the years lost to the disease.
Nasim Karimi, Maliheh Safari, Ghodratollah Roshanaei, Jalal Poorolajal,
Volume 21, Issue 6 (12-2018)
Abstract
Background and Aim: Acquired immunodeficiency syndrome is caused by body contamination with human immunodeficiency virus. Several factors affect the survival of people with AIDS, which are often examined using Cox regression models. The default is to use the Cox model as a proportionate hazard, which in case of a violation, this model does not have the required performance. Therefore, the aim of this study was to determine the effective factors on survival of AIDS patients using the developed Cox model.
Materials and Methods: In this cohort study, 1050 patients with AIDS who referred to Imam Khomeini and Zamzam Behavioral Counseling Centers in Tehran Province during the years 2004 to 2014 were studied. The effect of clinical and demographic factors on survival of patients has been investigated using extended Cox model.
Findings: 79% of patients were men. The mean age of the patients was 34.84 ± 10. 21 years old. The mean of the diagnosis time to AIDS was 23.64 ± 15.53 months. 76% of patients were cencored. Age at diagnosis, transmission modes, ART, CD4 count, and time to diagnosis of AIDS in univariate and multivariate analysis were significant
(p <0.05).
Conclusion: Several clinical factors have implications for the survival of AIDS patients. The most important of these factors is the use of ART and early detection of the disease, which greatly increases the chance of survival of the affected population. Therefore, it seems necessary to provide screening and treatment services for high-risk individuals.
