Dariush Kadkhoda; Ahmad Reza Baghestani; Sayeh Parkhideh; Hossein Bonakchi; Ali Akbar Khadem Maboudi
Volume 25, Issue 12 , 2023
Abstract
Background: Blood cancer is a type of cancer that affects the blood cells derived from the bone marrow. Leukemia, lymphoma, and myeloma are the most common subtypes. Usually, bone marrow transplantation (BMT) is performed alongside curative treatments, such as chemotherapy and radiotherapy to transfuse ...
Read More
Background: Blood cancer is a type of cancer that affects the blood cells derived from the bone marrow. Leukemia, lymphoma, and myeloma are the most common subtypes. Usually, bone marrow transplantation (BMT) is performed alongside curative treatments, such as chemotherapy and radiotherapy to transfuse healthy hematopoietic stem cells into a person after their own unhealthy bone marrow has been treated to kill invasive cells.
Objectives: The aim of this study was to compare the percentage of remission (cure rate) between different types of blood cancer.
Methods: In this retrospective cohort study, 458 patients who received BMT between 2007 and 2014 were analyzed. Patients were followed up until 2017 to determine whether they were still alive or had relapsed. The defective Marshall-Olkin Extended Weibull model was used with death being the event of interest.
Results:The study included 34 cases of acute lymphoblastic leukemia, 155 cases of multiple myeloma, 59 cases of acute myeloid leukemia, 156 cases of Hodgkins lymphoma, and 54 cases of non -Hodgkin 's lymphoma. The cure rate was highest in patients with Hodgkin 's lymphoma and multiple myeloma, while it was lowest in patients with acute lymphoblastic leukemia. in addition, age had an inverse effect on the cure rate for blood cancer (P=0.003), and relapse after BMT had a negative effect on the cure rate (P=0.003). In addition, relapse before transplantation had no effect, and body mass index was found to influence cure rate. A sensitivity analysis showed that the estimated cure rates increased slightly with decreasing cohort length.
Conclusion: Multiple myeloma and Hodgkin 's lymphoma had the highest cure rate, while acute lymphoblastic leukemia is barely curable. Obesity may increase the potential for cure and the experience of recurrence after BMT is associated with a lower cure rate.
Soraya Moamer; Ahmad Reza Baghestani; Mohamad Amin Pourhoseingholi; Ali Akbar Khadem Maboudi; Soodeh Shahsavari; Mohammad Reza Zali; Tahereh Mohammadi Majd
Volume 19, Issue 6 , June 2017, , Pages 1-8
Abstract
Background: In competing risks data, when a person experiences more than one event in the study, usually the probability of experiencing the event of interest is altered. Therefore, it is necessary to analyze the competing risk data.Objectives: The current study aimed at analyzing the colorectal cancer ...
Read More
Background: In competing risks data, when a person experiences more than one event in the study, usually the probability of experiencing the event of interest is altered. Therefore, it is necessary to analyze the competing risk data.Objectives: The current study aimed at analyzing the colorectal cancer (CRC) risk factors based on competing risks model. The loglogistic model was also fitted with 2-parameter to evaluate the prognostic factors that affect the survival of patients with CRC, and comparisons were made to find the best model.Methods: The current retrospective study was conducted on 1054 patients with CRC registered in the Research Institute of gastroenterology and liver disease center (from 2004 to 2015), Taleghani hospital, Tehran, Iran. The demographic and clinical features including age at diagnosis, gender, family history of CRC, body mass index (BMI), tumor size, and tumor site were extracted from the hospital documents. Analysis was performed using competing risks model and was based on the 4-parameter log-logistic distribution and log-logistic distribution. The analysis was carried out using R software version 3.0.3. P value less than 0.05 was considered as significant.Results: Overall, 1054 patients with CRC and complete data were included in the analysis. The mean ± standard deviation (SD) of survival time was 92 ± 6.62 months. Out of the 1054 patients, 379 (36%) subjects died of CRC and 49 (4.6%) subjects died of other causes such as myocardial infarction, stomach cancer, liver cancer, etc. Four-parameter log-logistic model and log-logistic model with competing risk analysis indicated age at diagnosis and BMI as the prognosis.Conclusions: The current study indicated age and BMI as prognosis of CRC, using a 4-parameter log-logistic model with competing risk analysis. Although the odds ratio (OR) in 4-parameter log-logistic model and log-logistic model ones were approximately similar, according to Akaike information criterion, the 4-parameter log-logistic model was more appropriate for survival analysis.
Hojjat Sayyadi; Farid Zayeri; Ahmad Reza Baghestani; Taban Baghfalaki; Ali Taghizadeh Afshari; Mohsen Mohammadrahimi; Javid Fereidoni; Khadijeh Makhdoomi
Volume 19, Issue 3 , March 2017, , Pages 1-9
Abstract
Background: After kidney transplantation, many risk factors can lead to graft rejection and force the patient to return to dialysis treatment.Objectives: This study aims to identify risk indicators of renal graft failure, such as serum creatinine, on long-term graft survival, using a novel statistical ...
Read More
Background: After kidney transplantation, many risk factors can lead to graft rejection and force the patient to return to dialysis treatment.Objectives: This study aims to identify risk indicators of renal graft failure, such as serum creatinine, on long-term graft survival, using a novel statistical technique.Methods: In this historical cohort study, 129 patients who underwent kidney transplants were assessed and followed up from September 2003 to December 2014 in Urmia, Iran. The main outcome of the study was assessing the survival rate of kidney transplant in these subjects. In addition, the serum creatinine levels were measured repeatedly for one year after the operation, as the most important risk indicator of graft failure. In addition, the effect of other indicators on graft survival were assessed using a joint modeling of longitudinal and survival technique, using the R software, version 3.0.2.Results: One-, three-, five-, and ten-year graft survival was 93.8%, 86.8%, 76.6%, and 37.4%, respectively. The results of the joint model showed that risk indicators, such as serum creatinine level (P < 0.0001, HR = 1.82), patient’s age (P = 0.006, HR = 1.03), and antithymocytes globulin (P = 0.019, HR = 2.57) had a significant relationship to graft survival.Conclusions: In general, our study showed that short-term graft failure in Iran is almost equal to the reported rates in some developed countries, but its long-term failure is rather high compared to these same countries. In this context, monitoring the postoperative risk indicators of graft rejection, such as the serum creatinine level, plays an important role in increasing the survival rate of kidney transplantation. The present model can be used to design similarly structured datasets.
