Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019
Background and aims: Non-Hodgkin’s lymphoma (NHL) is one of two main types of lymphoma. This present study aimed to investigate the survival rate in patients with NHL. Methods: This analytical survival-type study examined 372 patients with NHL referred to Shahid Sadoughi Hospital in Yazd in 2009-201...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shahrekord University of Medical Sciences
2024-06-01
|
| Series: | Epidemiology and Health System Journal |
| Subjects: | |
| Online Access: | https://ehsj.skums.ac.ir/PDF/ehsj-26111.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846148201472589824 |
|---|---|
| author | Hossein Fallahzadeh Seyed Mohammad Reza Mortazavizadeh Mahdieh Momayyezi Shokouh Fouladvand |
| author_facet | Hossein Fallahzadeh Seyed Mohammad Reza Mortazavizadeh Mahdieh Momayyezi Shokouh Fouladvand |
| author_sort | Hossein Fallahzadeh |
| collection | DOAJ |
| description | Background and aims: Non-Hodgkin’s lymphoma (NHL) is one of two main types of lymphoma. This present study aimed to investigate the survival rate in patients with NHL. Methods: This analytical survival-type study examined 372 patients with NHL referred to Shahid Sadoughi Hospital in Yazd in 2009-2019. The data were extracted from patients’ files. STATA/17 software, the Kaplan-Meier method, and Bayesian parametric survival analysis were used for data analysis. Results: The overall survival rate and the mean overall survival time were 65% and 129±17.94 months, respectively. According to the Kaplan-Meier method, the survival rates of 1, 2, 3, 5, and 10 years were 86%, 80%, 76%, 69.5%, and 52%. The results revealed that men, people over 70 years old, patients with the NHL.T-cell subtype, patients with involvement in the chest, inguinal, and abdominal-pelvic regions, and patients in stage III or IV of the disease had a shorter survival time. In addition, survival time was shorter in patients with disease recurrence at the primary site. The variables of gender (hazard ratio [HR]=0.65; 95% confidence interval [CI]: 0.44‒0.93), type of treatment (HR=3.43; 95% CI: 1.58‒6.16), stage of disease (HR=2.87; 95% CI: 2.09‒3.57), and involvement site (HR=1.45:95%; CI: 1.03‒1.99) had a significant effect on survival time using the Bayesian parametric regression model. Conclusion: If patients are identified at an early stage, they have the best chance of survival. In chronic lymphocytic leukemia (CLL) patients, the best survival is achieved without treatment. At the same time, in other types of cancer, chemotherapy offers the best survival. |
| format | Article |
| id | doaj-art-c78f6b34c2b248659183fc13cf1bccd2 |
| institution | Kabale University |
| issn | 2980-7891 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Shahrekord University of Medical Sciences |
| record_format | Article |
| series | Epidemiology and Health System Journal |
| spelling | doaj-art-c78f6b34c2b248659183fc13cf1bccd22024-12-01T10:59:13ZengShahrekord University of Medical SciencesEpidemiology and Health System Journal2980-78912024-06-01112889310.34172/ehsj.26111ehsj-26111Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019Hossein Fallahzadeh0Seyed Mohammad Reza Mortazavizadeh1Mahdieh Momayyezi2Shokouh Fouladvand3Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranDepartment of Hematology and Oncology, Islamic Azad University, Yazd Branch, Yazd, IranCenter for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranFaculty of Medicine, Islamic Azad University, Yazd Branch, Yazd, IranBackground and aims: Non-Hodgkin’s lymphoma (NHL) is one of two main types of lymphoma. This present study aimed to investigate the survival rate in patients with NHL. Methods: This analytical survival-type study examined 372 patients with NHL referred to Shahid Sadoughi Hospital in Yazd in 2009-2019. The data were extracted from patients’ files. STATA/17 software, the Kaplan-Meier method, and Bayesian parametric survival analysis were used for data analysis. Results: The overall survival rate and the mean overall survival time were 65% and 129±17.94 months, respectively. According to the Kaplan-Meier method, the survival rates of 1, 2, 3, 5, and 10 years were 86%, 80%, 76%, 69.5%, and 52%. The results revealed that men, people over 70 years old, patients with the NHL.T-cell subtype, patients with involvement in the chest, inguinal, and abdominal-pelvic regions, and patients in stage III or IV of the disease had a shorter survival time. In addition, survival time was shorter in patients with disease recurrence at the primary site. The variables of gender (hazard ratio [HR]=0.65; 95% confidence interval [CI]: 0.44‒0.93), type of treatment (HR=3.43; 95% CI: 1.58‒6.16), stage of disease (HR=2.87; 95% CI: 2.09‒3.57), and involvement site (HR=1.45:95%; CI: 1.03‒1.99) had a significant effect on survival time using the Bayesian parametric regression model. Conclusion: If patients are identified at an early stage, they have the best chance of survival. In chronic lymphocytic leukemia (CLL) patients, the best survival is achieved without treatment. At the same time, in other types of cancer, chemotherapy offers the best survival.https://ehsj.skums.ac.ir/PDF/ehsj-26111.pdfbayesian parametric survival analysisnon-hodgkin’s lymphomayazd |
| spellingShingle | Hossein Fallahzadeh Seyed Mohammad Reza Mortazavizadeh Mahdieh Momayyezi Shokouh Fouladvand Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 Epidemiology and Health System Journal bayesian parametric survival analysis non-hodgkin’s lymphoma yazd |
| title | Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 |
| title_full | Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 |
| title_fullStr | Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 |
| title_full_unstemmed | Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 |
| title_short | Bayesian Parametric Survival Analysis of Patients With Non-Hodgkin’s Lymphoma in Yazd, Iran, During 2009-2019 |
| title_sort | bayesian parametric survival analysis of patients with non hodgkin s lymphoma in yazd iran during 2009 2019 |
| topic | bayesian parametric survival analysis non-hodgkin’s lymphoma yazd |
| url | https://ehsj.skums.ac.ir/PDF/ehsj-26111.pdf |
| work_keys_str_mv | AT hosseinfallahzadeh bayesianparametricsurvivalanalysisofpatientswithnonhodgkinslymphomainyazdiranduring20092019 AT seyedmohammadrezamortazavizadeh bayesianparametricsurvivalanalysisofpatientswithnonhodgkinslymphomainyazdiranduring20092019 AT mahdiehmomayyezi bayesianparametricsurvivalanalysisofpatientswithnonhodgkinslymphomainyazdiranduring20092019 AT shokouhfouladvand bayesianparametricsurvivalanalysisofpatientswithnonhodgkinslymphomainyazdiranduring20092019 |