Showing 46 results for Cancer
R Ghahremani, P Yavari, S Khodakarim, K Etemad, A Khosravi, R Ramezani Daryasari, Ma Pour Hossein Gholi ,
Volume 11, Issue 4 (3-2016)
Abstract
Background and Objectives: Colorectal cancer is the fourth leading cause of cancer death worldwide. Annually 1430000 cases would be diagnosed and half of these people would die of the disease. In Iran, colorectal cancer is the fifth common cancer among men and is the thirdamong women. This study was designed to estimate survival rates for patients with colorectal cancer and related factors.
Methods: During the 1384 to 1388 years 24,807 patients diagnosed with colorectal cancer were recorded in the Cancer Registry of the Ministry of Health and Medical Education. Age, gender, marital status, education, occupation, place of residence, tumor diagnosis, the clinical and demographic factors in colorectal cancer as effective on survival entered in Aalen’s additive hazard model and diagram Aalen's was used to study the effects of these factors over time. R 3.2.0 software was used for data analysis.
Results: Stage of tumor had a significant association with survival rates. In this study 1 to 5 year survival rate for patients with stage II tumors, was 100%, 98%, 96%, 93% and 93% respectively and for patients with stage III tumors 99%, 97%, 94%, 90% and 84%, respectively.
Conclusion: In spite of using Cox model in survival analysis by many researchers, Aalen’s model may yield new insights in prognostic studies of survival time of patients with colorectal cancer over time. Our results suggest that early detection of patients in primary stage is important to increase survival.
V Montazeri, F Jafarpour Sadegh , S Hosseinpour, Hr Mirzaei, E Akbari, M Ehsani, S Akbari, N Asadi, M Mahmoudinezhad, E Mirtaheri, Z Sanaat, S Pirouzpanah,
Volume 12, Issue 1 (6-2016)
Abstract
Background and Objectives: Reproductive factors are in close relationship with breast carcinogenesis. This matched case-control study was conducted to study the association of reproductive risk factors with the risk of breast cancer (BC) among women in Tehran and northwest of Iran.
Methods: This hospital-based case-control study was performed on a total of 432 patients diagnosed with BC with confirmed histopathology who were recruited from hospitals affiliated with Shahid Beheshti and Tabriz University of Medical Sciences between 2007 and 2012, and 543 regionally matched controls without a prior history of BC.
Results: The average number of pregnancy and breast-fed children were significantly higher in cases than controls (P<0.01). The duration of breast-feeding was longer in patients (18.0±8.4 months) than controls (16.0±9.1; P<0.001). Most of the patients were diagnosed with BC above the age of 48 years old which was higher than the mean age of the recruited matched controls. Older age was associated with a 3.87 higher risks of BC development (95% CI: 2.94-5.10). The higher frequency of lactation in patients was significantly associated with the elevated risk (OR=2.22, 95% CI 1.62-3.04). The duration of breast-feeding within14-24 months was correlated with OR=0.52 to protect BC development during the reproductive age
(<48 years) (95% CI: 0.32-0.86).
Conclusion: High frequency of pregnancy, lactation, and older ages at first pregnancy are associated with the risk of BC, while older age at puberty, menopause, and longer duration of breast-feeding (age above 48 years) have inverse associations with the risk of BC.
F Zayeri, Sh Seyedagha, H Aghamolaie, F Boroumand, P Yavari,
Volume 12, Issue 2 (8-2016)
Abstract
Background and Objectives: Breast cancer is one of the most common malignancies in women which accounts for the highest number of deaths after lung cancer. The aim of the current study was to compare the logistic regression and classification tree models in determining the risk factors and prediction of breast cancer.
Methods: We used from the data of a case-control study conducted on 303 patients with breast cancer and 303 controls. In the first step, we included 16 potential risk factors of breast cancer in both the logistic regression and classification tree models. Then, the area under the ROC curve (AUC), sensitivity, and specificity indexes were used for comparing these models.
Results: From 16 variables included in the models, 5 variables were statistically significant in both models. Sensitivity, specificity, and AUC was 71%, 69%, and 74.7% for the logistic regression and 63.3%, 68.8%, and 71.1% for the classification tree, respectively.
Conclusion: The obtained results suggest that the classification tree has more power for separating patients from healthy people. Menopausal status, number of breast cancer cases in the family, and maternal age at the first live birth were significant indicators in both models.
H Mirzaei, Mh Panahi, K Etemad, A Ghanbari-Motlagh , K Holakouie-Naini ,
Volume 12, Issue 3 (10-2016)
Abstract
Background and Objectives: Colorectal cancer is the third most common cancer in men and the second most common cancer in women in the world. The colorectal cancer screening program was conducted in Iran as a pilot in the late 2010 with the aim of reducing the burden of colorectal cancer. The aim of this study was to evaluate the colorectal cancer screening program in Iran.
Methods: This cross-sectional study was conducted on data from the pilot colorectal cancer screening programs. First, the indicators of the colorectal cancer screening program were determined through a comprehensive review of scientific databases, interviews with experts and implementation of pilot evaluation. Then, the indicators were calculated through descriptive analysis using SPSS version 18.
Results: The indicators and their values were as follows: coverage rate 33.04%, participation rate 53.3%, percentage of consulted people 99.6%, percentage of blood samples 37%, percentage of colonoscopy 54.8%, cancer detection rate 2.7%, and polyp detection rate 18.1%. Among people who gave blood samples 1.6% had familial adenomatous polyposis (FAP) syndrome, 43.06% had hereditary no polyposis colorectal cancer (HNPCC) syndrome, and 29% were sporadic cases.
Conclusion: The screening program in Iran has differences with other countries which have affected the indicators.
Sh Mehrvarz, Ha Mohebbi, S Heydari, Hr Zarezadeh Mehrizi , Hr Rasouli,
Volume 13, Issue 1 (6-2017)
Abstract
Background and Objectives: The cancer of the pancreatic head and Ampulla of Vater is a malignant disease usually seen in advanced stages with symptoms caused by stomach and biliary obstruction. Curative treatment is possible in the early stage. Unfortunately, most symptomatic patients are in the advanced stage and have an unrespectable tumor; therefore, they should undergo palliative surgery. This study was performed to determine the complications and survival rate of patients who underwent palliative surgery for advanced stages of cancer in the Ampulla Vater and pancreatic head.
Methods: In this study, 49 patients with advanced stages of cancer in the Ampulla of Vater and pancreatic head who had undergone palliative surgery from 2003 to 2014 at Baqiyatallah Hospital were studied and the complications and survival rate were determined.
Results: Eleven patients (22.44%) underwent biliary bypass, 6 (12.24%) underwent gastric bypass, and 32 (65.32) underwent both procedures. Twelve (24.49%) patients developed complications. Anastomotic leak and peritonitis were the most common complications seen in 6 (12.2%). Seven patients (14.28%) died in the hospital. The mean survival was 5.47 ± 8.38 months. Upon follow up, survival was significantly longer in older patients (P=0.01).
Conclusion: In one-fourth of the patients with advanced stages of cancer, palliative surgery of the pancreatic head and Ampulla of Vater caused complications, and the mean survival rate was less than six months. The results of this study recommend the use of less invasive procedures such as biliary stenting in the advanced stages of the disease.
M Enayatrad, K Etemad, S Khodakarim, P Yavari,
Volume 13, Issue 3 (12-2017)
Abstract
Background and Objectives: Colorectal cancer is the fourth most common cancer and the fifth cause of cancer-related mortality in Iran. This study aimed to determine the incidence of colorectal cancer in men and women and to investigate its relationship with the human development index (HDI) and its components in Iranian provinces.
Methods: This ecological study was conducted to assess the correlation between age-specific incidence of colorectal cancer in men and women and the Human Development Index. We used the data of the Iranian Cancer Registry and Statistical Centre of Iran. We used a bivariate correlation method to assess the correlation of ASR and HDI. P values less than 0.05 were considered significant. All reported P-values are two-sided. Statistical analyses were performed using the SPSS software version 23.
Results: The highest incidence of colorectal cancer in men was seen in Tehran (78.16), Eastern Azerbaijan (41.14), and Semnan (62.13), and the highest incidence of colorectal cancer in women was seen in Tehran (47.18), Semnan (80.14), and Eastern Azerbaijan (82.12), respectively. The results showed that the incidence of colorectal cancer in men (r = 0.605) and women (r = 0.661) had a positive significant correlation with the Human Development Index (P<0.001).
Conclusion: The incidence of colorectal cancer was high in provinces with a higher human development index. Therefore, evaluation of the incidence of cancer by the Human Development Index and its components can be used to show a clearer picture of the distribution of cancer in each country and may be useful for cancer prevention plans.
M Raesizadeh, M Seghatoleslami, M Hoseinzade, A Saki Malehi ,
Volume 13, Issue 4 (3-2018)
Abstract
Background and Objectives: Breast cancer is the leading cause of death from cancer among women. In developing countries, the patients’ survival is less than developed countries. Metastasis, as an intermediate event, affects the survival of breast cancer patients. This study aimed to evaluate the survival of patients after surgery considering metastasis, as the intermediate event, using the illness-death model.
Methods: In this study, 165 cases of Iranian breast cancer patients who underwent surgery during 2006-2014 were investigated. The patients’ characteristics and their intermediate and final status were collected from their medical records. The illness-death model was used to assess prognostic factors in all stages of disease.
Results: The risk of metastasis in patients with tumor size between 2-5 cm was 3.8 times higher than patients whose tumors were below 2 cm (P=0.009). Patients who had 3 to 6 lymph nodes involved were 3.1 times more likely to have metastases that those with less than 2 lymph nodes (P=0.003). Also, the grade of tumor and HER-2 had a significant role in metastasis (P=0.04).
Conclusion: Using the illness-death model that is suitable for the analysis of such data, it was found that lymph node involved and tumor size had a significant role in metastasis. So, early detection of cancer is required to prevent metastasis and death.
S Setareh, M Zahiri Esfahani , M Zare Bandamiri , A Raeesi, R Abbasi,
Volume 14, Issue 1 (6-2018)
Abstract
Background and Objectives: Colon cancer is the third most common cancer in the world and the fourth most common cancer in Iran. It is very important to predict the cancer outcome and its basic clinical data. Due to to the high rate of colon cancer and the benefits of data mining to predict survival, the aim of this study was to survey two widely used machine learning algorithms, Bagging and Support Vector Machines (SVM), to predict the outcome of colon cancer patients.
Methods: The population of this study was 567 patients with stage 1-4 of colon cancer in Namazi Radiotherapy Center, Shiraz in 2006-2011. Three hundred and thirty eight patients were alive and 229 patients were dead. We used the Support Vector Machines (SVM) and Bagging methods in order to predict the survival of patients with colon cancer. The Weka software ver 3.6.10 was used for data analysis.
Results: The performance of two algorithms was determined using the confusion matrix. The accuracy, specificity, and sensitivity of the SVM was 84.48%, 81%, and 87%, and the accuracy, specificity, and sensitivity of Bagging was 83.95%, 78%, and 88%, respectively.
Conclusion: The results showed both algorithms have a high performance in survival prediction of patients with colon cancer but the Support Vector Machines has a higher accuracy.
S Heidari, A Kavousi, V Rezaei Tabar,
Volume 14, Issue 2 (9-2018)
Abstract
Background and Objectives: Breast cancer is the most common cancer in Iran. It can be prevented by rapid diagnosis of the disease. Thus, it is necessary to determine the causal relationships between variables related to breast cancer. Bayesian network is a data mining tool that shows the causal relationship between different variables. In this paper, a Bayesian network was applied to find causal relationships between breast cancer variables using a genetic algorithm in a graphical model.
Methods: in this applied study, data were collected from 900 breast cancer patients in Kerman Province from 1999 to 2008. For data analysis, we used a probabilistic graphical model representing the causal relationship between variables.
Results: The results showed that surgery was the most important treatment for breast cancer. Based on the conditional and marginal probabilities, the women who underwent surgery had higher hopes of living longer. Moreover, 81% of the patients who did not undergo surgery only received chemotherapy or radiotherapy were less likely to have long lives.
Conclusion: People aged 40-65 years are more likely to have breast cancer. Moreover, the variables of age, surgery, chemotherapy, and radiotherapy had a direct effect on the status of the patients and there were direct edges from these variables to the status of the patients.
Am Keshtvarz Hesam Abadi , E Hajizadeh, Ma Pourhoseingholi, E Nazemalhossein Mojarad ,
Volume 14, Issue 4 (3-2019)
Abstract
Background and Objectives: The purpose of this study was to predict the mortality rate of colorectal cancer in Iranian patients and determine the effective factors on the mortality of patients with colorectal cancer using random forest and logistic regression methods.
Methods: Data from 304 patients with colorectal cancer registry from the Gastroenterology and Liver Research Center of Shahid Beheshti University of Medical Sciences during the years 2009 to 2014 were used as a retrospective study. Data analysis was performed using random forest and logistic regression methods. To analyze the data, R software version 3.4.3 was considered.
Results: Ten important variables related to colorectal cancer deaths were selected by random forest method. Several criteria such as the area under the characteristic curve (AUC) were used to compare the random forest method with logistic regression. According to both criteria, five important variables ranked by random forest were Cancer stage, age of diagnosis, patient's age, HLA, and degree of differentiation (tumor differentiation). In terms of different criteria, the random forest method had better performance than logistic regression (Area under the ROC curve for random forest and logistic regression methods was: 98%; 80% respectively).
Conclusion: Variables such as Cancer stage, age of diagnosis, patient's age, HLA, and degree of differentiation are considered as the most important factors affecting mortality in colorectal cancer, that the patients' longevity can be increased with the early diagnosis of cancer and screening programs.
S Nazari, Z Keshavarz, M Afrakhte, H Riazi,
Volume 15, Issue 1 (5-2019)
Abstract
Background and Objectives: Cervical cancer is one of the five most common cancers in Iranian women. Considering the impact of HIV on cervical cancer and the low rate of cervical cancer screening in HIV positive women, this study was conducted to review the barriers to cervical cancer screening in HIV positive women.
Methods: In this systematic review, data were retrieved from Magiran, SID, Irandoc, Prequest, OVID, ScienceDirect, PubMed, Web of Science and Scupos databases from January 2000 to January 2018. The following keywords and their combination were used: cervical cancer screening, Pap smear, HIV-positive women, and barriers. The NOS (Newcastle-Ottawa Scale) checklist was used to evaluate the quality of the selected articles and the articles that scored more than six were included in the study.
Results: From 145 selected articles, 21 were included in the review based on the inclusion criteria. The most common reported screening barriers were the costs of test, lack of awareness, low education level, younger age, lack of information about screening centers, and fear of sampling.
Conclusion: Considering the barriers to cervical cancer screening, increasing the level of awareness of the HIV-positive women, preparing free Pap smear services, and providing easier access to health centers for this high risk group could lead to early detection of cervical cancer.
M Safari, M Abbasi, F Gohari Ensaf , Z Berangi, Gh Roshanaei,
Volume 15, Issue 4 (1-2020)
Abstract
Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox model.
Methods: In this retrospective cohort study, 201 patients with metastatic gastric cancer were evaluated in Hamadan Province. Patient survival was calculated from diagnosis to death or end of study. Demographic characteristics (such as gender and age) and clinical variables (including stage, tumor size, etc.) were extracted from the patient records. Factors affecting survival were determined using the Cox model and RSF. Data analysis was performed using the R3.4.3 software and RandomForestSRC and survival packages.
Results: The mean (SD) age of patients was 61.5 (12.9) years old. The Cox model showed that chemotherapy (p=0.033) was effective in survival, and the results of fitting the RSF model showed that the most important variables affecting survival were type of surgery, location of metastasis, chemotherapy, age, tumor grade, surgery, number of involved lymph nodes, sex and radiotherapy. Based on the model appropriateness, the RSF model with log-rank split rule had a better performance compared to the Cox model.
Conclusion: If the number of variables is high and there is a relationship between the variables, the RSF method identifies the important and effective variables on survival with high accuracy without requiring restrictive assumptions compared to the Cox model.
F Amini, A Abadi, M Namdari, Z Ghorbani, S Azimi,
Volume 16, Issue 2 (8-2020)
Abstract
Background and Objectives: Cancer is a complex disease with a lengthy and expensive course of treatment that causes many problems for the community. Knowledge of oral cancer plays an important role in early diagnosis. The aim of this study was to determine the level of knowledge about the symptoms and risk factors of oral cancer and assess the related factors.
Methods: In this study, 671 parents of primary school children were randomly selected from primary schools in four districts of Tehran. The participants were asked to answer questions related to demographic characteristics and knowledge of the risk factors and symptoms of oral cancer. Data analysis was done using Poisson regression model and multi-level Poisson regression model using SPSS and STATA software. The AICI Akaike Information Criterion (AIC) was applied to evaluate the models.
Results: The mean score of knowledge was 3.7 with a standard deviation of 6.7. Among the studied variables, female gender, advanced age, a higher SES score, and a higher welfare index had positive effects on oral cancer knowledge (P <0.05).
Conclusion: The results of this study showed that demographic, social and economic factors of parents were effective on oral cancer. It can be statistically concluded that a multilevel Poisson regression model is more suitable for analyzing this data.
M Ostadghaderi, Aa Hanafi Bojd , Sh Nematollahi, K Holakoui-Naeini ,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: The incidence of colorectal cancer has increased significantly in Iran in recent decades. The pattern of occurrence varies in different populations. A study was conducted to perform a spatial analysis of colorectal cancer and some of its risk factors in Iran using GIS.
Methods: The data of this descriptive-analytic study included colorectal cancer incidence as a dependent variable and physical activity, Body Mass Index and smoking as independent variables recorded by the Cancer Department, Center for Non-Communicable Diseases Management, the Ministry of Health and Medical Education and the care system for non-communicable disease risk factors according to province and gender in 2009. Data was analyzed using the ArcGIS 10.3 software and spatial correlation analysis, hot spots analysis, and geographic weighted regression model.
Results: The spatial relationship between the disease and some of its risk factors was confirmed by the model of geographical weight regression, according to which the northern and central provinces had the highest risk of colorectal cancer compared to other regions of the country.
Conclusion: The results of this study showed that spatial analysis could be useful in identifying disease patterns, prioritizing the factors affecting it, and controlling the disease through strategic planning and interventions.
Ma Soleimani, N Dalvand, S Zarabadi Pour , Z Alimoradi, A Görgülü, N Bahrami,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: Accurate assessment of patients' death depression requires a specific tool that is appropriate to the culture of each community. Therefore, the aim of this study was to evaluate the psychometric properties of the Death Depression Scale in women with breast cancer.
Methods: In this methodological study, 246 breast cancer patients presenting to Qazvin Provincial Hospital completed the 17-item Templar Death Depression Scale. Psychometric properties of this scale were evaluated by exploratory and confirmatory factor analysis. Reliability was also assessed using Cronbach's alpha, omega and composite reliability.
Results: Exploratory factor analysis showed that six items in the Persian version did not acquire the required loading factor, and were omitted. The remaining eleven items as a single factor accounted for 66.91% of the variance of this concept. In confirmatory factor analysis, 11 items had appropriate fit indices (χ2 = 97.664, p <.001, χ2 / df = 2.504, GFI = .932, CFI = .972, IFI = .973, TLI = .961, SRMR = .030, and RMSEA = .079). A Cronbach's alpha coefficient of 0.95, Omega coefficient of 0.95, and composite reliability coefficient of 0.96 indicated the acceptable reliability of the 11-item version.
Conclusion: The results of this study showed that the 11-item Death Depression Scale was valid and reliable in Iranian patients with breast cancer. Given the appropriate psychometric parameters, this scale can be used to assess death depression in future studies.
Malihe Safari, Salman Khazaei, , Mohammad Abbasi, Ghodratollah Roshanaei,
Volume 17, Issue 2 (9-2021)
Abstract
Background and Objectives: The incidence of rectal cancer is increasing in developing societies, especially in younger age groups. The aim of this study was to evaluate the factors affecting the survival of patients with rectal cancer in the presence of competing risks.
Methods: In this retrospective cohort study, the data of 121 patients with rectal cancer during 2001-2017 were studied. Death related to cancer progression was considered as the interest outcome and other causes of death were considered as competing risks. Cause-specific and sub-distribution hazard models were used to investigate the factors affecting patient survival in the presence of competing risk.
Results: The mean (SD) age of the patients was 53.4 (13.9) years and 68 patients (56.2%) were male. The results of log-rank test showed that sex, age, metastasis, type of first treatment, rate of penetration into intestinal wall, tumor location, number of lymphomas involved and tumor size had significant effects on the patient survival (P<0.05). Based on cause-specific and sub-distribution hazard models, tumor stage, lymph node metastasis, and tumor grade had significant effects on death hazard due to the cancer progression (P<0.05).
Conclusion: Due to the need to consider competing risks, the results of both competing risk methods showed that tumor grade, lymph node metastasis and stage increased the instantaneous hazard and hazard of cancer death. Therefore, to determine the specific risk factors for each cause of death in the survival analysis, competing risk methods should be used if there is more than one cause of death.
A Naghi Pour, A Moghimbeigi, N Shirmohamadi, A Soltanian, S Khazaei, Sh Nick Ceiar,
Volume 17, Issue 4 (3-2022)
Abstract
Background and Objectives: Breast cancer has the highest incidence in the Iranian women.
Methods: A cross-sectional study was conducted. All female with breast cancer during 2008-2015 were enrolled. Breast cancer registration is based on the pathology method in Iran. The information about female with breast cancer was collected from their files in the cancer registry department of Hamadan Health Center. The samples were divided into four groups according to age (<50 and> 50) and location (city, village). GeoBUGS was used to generate a map of high-risk areas in Hamedan Province based on the adjusted relative risk estimate (RR*) in OpenBUGS v 3.2.3 software.
Results: This study included 1316 females with breast cancer. The mean age of the patients was 50.38±12.98 years. The results of the study showed that high-risk areas of breast cancer for were Assadabad urban females aged over 50 years (RR*(i)=1.32, CI= 0.99,1.79) and Tuyserkan (RR*(i)=1.09, CI= 1.08,1.38) and Razan (RR*(i)=1.09, CI= 0.85,1.40) for females below 50 years. In addition, Razan for rural females over 50 years old (RR*(i)=1.18, CI=0.82,1.73) and Malayer for females below 50 years old (RR*(i)=1.08, CI= 0.81,1.45) were high risk areas for breast cancer in Hamadan Province.
Conclusion: The distribution of breast cancer is different at different ages and in the cities of Hamadan Province. Asadabad, Tuyserkan, Razan and Malayer were high risk areas for breast cancer in Hamadan Province.
N Zanjari, M Sasanipour,
Volume 18, Issue 1 (5-2022)
Abstract
Background and Objectives: The rate of the increase in life expectancy has slowed down during the last two or three decades in Iran. In this study, we examined the role of change in thecause of death older adults in increasing life expectancy in Iran between 2006 and 2016.
Methods: Death data by age, sex, and cause in Iran between 2006 and 2016 were obtained from the death registration and classification system of the Ministry of Health and Medical Education. Using the Brass-Trussell and generalized Benett-Horiuchi method, underreporting of child and adult death registration was corrected. Then, using the Arriaga decomposition method, the role of age groups and causes of death of Iranian older adults in increasing life expectancy at birth was calculated.
Results: Men’s life expectancy at birth increased by 3.7 years during 2006 to 2016, and the contribution of older adult’s death changes on this increase was estimated at 2 years. Out of the total increase of 3.1 years in women’s life expectancy, 1.57 years was related to changes in the older adults’ cause of death. Furthermore, 74% and 57% of the role of change in the cause of death among older men and women in increasing the life expectancy was related to cardiovascular diseases.
Conclusion: Considering the transition of age structure in the coming decades, transition of death trend to older ages is expected to continue. The results of this study showed that it is necessary to pay more attention to diseases that affect older people in policy priorities.
Zahra Jafarabadi, Farid Abolhasani, Mohammad Hassan Lotfi, Hossein Fallahzadeh,
Volume 18, Issue 2 (9-2022)
Abstract
Background and Objectives: Colorectal cancer is the second and fourth most common cancer in Iranian women and men, respectively. This cancer ranks fourth and fifth in men and women, respectively, among Yazd population. This study aimed to estimate the burden of colorectal cancer in Yazd province in 2016.
Methods: This descriptive cross-sectional study was performed on the population of Yazd province in 2016. CanMod software was used to calculate the burden of colorectal cancer. The required information included the population of Yazd province, the incidence of colorectal cancer, the death rate due to colorectal cancer, the death rate due to all causes and the survival rate of patients; The Cancer Registration System, the Provincial Death Registration System and the opinions of provincial experts were collected and included, respectively.
Results: The total burden of colorectal cancer in Yazd province was 632 years (382 years in men and 250 years in women); The YLL and YLD of colorectal cancer in both genders were 478 years and 154 years, respectively. The burden of colorectal cancer in men was 65 years and in women 45 years (per 100,000 population). The peak age of disease burden was estimated in the age group over 60.
Conclusion: Due to the high incidence and treatment in the early stages of the disease, screening and diagnosis in the early stages can be one of the health priorities of the province. However, the final judgment is made when the burden of other diseases and injuries is calculated in the province.
Mohammadreza Balooch Hasankhani, Aliakbar Haghdoost, Yunes Jahani,
Volume 19, Issue 2 (9-2023)
Abstract
Background and Objectives: Time trend analysis of factors such as disease and mortality rates is a crucial component of health planning for any community. It allows for a more accurate interpretation of changes over time. This study was conducted to examine the performance of the Joinpoint regression model in analyzing time trends.
Methods: This study aims to first provide a simplified understanding of the Joinpoint regression model and then demonstrate its application on data regarding the 30-year trends of liver cancer mortality due to alcohol consumption in Iran.
Results: The results of the time trend analysis indicate that the age-standardized mortality rate of liver cancer due to alcohol use consumption has decreased by an average of 0.8% per year over the 30-year period in Iran (1990 to 2019). The projections also suggest that this declining trend will continue.
Conclusion: In general, the main advantage of the Joinpoint regression model over other models is its ability to identify periods where significant changes in trends have occurred. Based on the results, the mortality rate of liver cancer due to alcohol use consumption over the 30-year period in Iran can be divided into five periods with different rates of change.
