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Article ; Online: Determination of the risk factors for breast cancer survival using the Bayesian method, Yazd, Iran

Vida Pahlevani / Morteza Mohammadzadeh / Nima Pahlevani / Vajiheh Nayeb Zadeh

Advanced Biomedical Research, Vol 10, Iss 1, Pp 35-

2021 Volume 35

Abstract: Background: There are numerous sophisticated studies which have investigated risk factors of breast cancer (BC). The purpose of this paper is to use benefits of Bayesian modeling to involve such prior information in determining factors affecting the ... ...

Abstract	Background: There are numerous sophisticated studies which have investigated risk factors of breast cancer (BC). The purpose of this paper is to use benefits of Bayesian modeling to involve such prior information in determining factors affecting the survival of women with BC in Yazd city. Materials and Methods: The checklist included the characteristics of the patients and the factors studied. Then, from the records of patients referred to Radiotherapy Center of Shahid Ramezanzadeh, who had BC, from April 2005 to March 2012, the survival of 538 persons was recorded in the census. Data were analyzed by R software version 3.4.2, and 0.05 was considered the significance level. Results: The mean age of BC diagnosis was 48.03 ± 11016 years. The Bayesian Cox regression showed that surgery (hazard ratio [HR] =1.631 95% PI; 1.102–2.422), ki67 (HR = 3.260. 95% PI; 1.6308–6.372), stage (HR = 5.620, 95% PI; 4.079–7.731), lymph node (HR = 1.765, 95% PI; 1.127–2.790), and ER (HR = 2. 600 95% PI; 2.023–3.354) were significantly related to survival time. Conclusion: The parametric and cox models were compared with standard error, and Cox model was selected as an optimal model. Accordingly, stage, ki67, lymph node, ER, and surgery variables had a positive effect on death hazard.
Keywords	bayesian method ; breast cancer ; regression analysis ; risk factors ; survival analysis ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	616
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Effect of Time-dependent Prognostic Factors on Survival of Non-Small Cell Lung Cancer using Bayesian Extended Cox Model

Vida Pahlevani / Hossein Fallahzadeh / Nima Pahlevani / Abolfazl Nikpour / Morteza Mohammadzadeh

علوم بهداشتی ایران, Vol 8, Iss 3, Pp 29-

2020 Volume 36

Abstract: Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell ... ...

Abstract	Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in Yazd were recorded from 2009 to 2013 by phone call. We fitted conventional Cox proportional hazards (Cox PH) as well as Bayesian ECM. Inference for estimated risk ratios was based on 90% credible intervals. Log pseudo marginal likelihood criteria (LMPL) was used for model comparison. Statistical computations were based on R language. Results: In this study, 190 patients with non-small cell lung cancer were followed, of whom 160 died because of the disease (84.2%). Median of survival time was 8 ± 0.076 month. After fitting the Cox PH Model, it was determined that the PH assumption was not satisfied for the type of treatment, the disease stage, and pathology status variables (p <0.001). LPML for Cox PH and Bayesian ECM was -431.593 and -401.01, respectively. Estimated hazard ratio curves based on Bayesian ECM showed that the risk ratio for these variables exhibited significant time varying behavior on hazard of lung cancer through follow up time. Conclusion: Based on LMPL, Bayesian ECM was found to have a better fit than Cox PH Model which declares, results from Cox PH should be interpreted with care. Especially, from beginning of the study to about 20 month after, very high risk ratio was estimated for variables whose PH was not satisfying for them.
Keywords	bayesian approach ; chemotherapy and radiotherapy ; extended cox regression ; time-dependent variables ; non-small cell lung cancer ; Medicine (General) ; R5-920
Subject code	310
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Mazandaran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of spiritual counseling based on the sound heart model on depression of hemodialysis patients

Zahra Nasrollahi / Minoo Asadzandi / Morteza Mohammadzadeh / Marzieh Valashjerdi Farahani / Kolsum Tayyebi

Family Medicine & Primary Care Review, Vol 23, Iss 4, Pp 459-

2021 Volume 464

Keywords	spirituality ; depression ; patients ; renal dialysis ; Medicine ; R
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Continuo
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessment of aflatoxin exposure using urine biomarker in pregnant and non-pregnant women in Yazd, Center of Iran

Bahador Hajimohammadi / Mohammad Hasan Ehrampoush / Arash Dalvand / Morteza Mohammadzadeh / Mansoureh Soltani / Soheyl Eskandari

Environmental Health Engineering and Management, Vol 8, Iss 4, Pp 277-

2021 Volume 286

Abstract: Background: Aflatoxins (AFs) are one of the most prevalent toxins, which long-term exposure to them could be a risk factor for liver cancer. AFM1 is the hydroxylated metabolite of AFB1, therefore, the presence of AFM1 in urine samples can give an ... ...

Abstract	Background: Aflatoxins (AFs) are one of the most prevalent toxins, which long-term exposure to them could be a risk factor for liver cancer. AFM1 is the hydroxylated metabolite of AFB1, therefore, the presence of AFM1 in urine samples can give an appropriate estimation of dietary AF exposure in human. Methods: The present study aimed to evaluate the excretion level of AFM1 in urine samples of pregnant and non-pregnant women in Yazd, Iran. A total of 85 urine samples (42 pregnant and 43 non-pregnant) were selected randomly from women who had referred to health centers of Yazd during March to May 2017. From each participant, a 72-hour dietary recall was asked and the data were recorded and later analyzed by ELISA kits. Results: The results showed that the mean level of AFM1 in pregnant and non-pregnant women was 8.23 ± 2.9 and 35.5 ± 1.05 pg mL-1, respectively. Excretion of AFM1 in urine samples had a significant relationship with some demographic factors and type of consumed foods (P < 0.05). Conclusion: There was a significant relationship between the education level, place of residence, and the consumption of nuts with the excretion of AFM1. It can be concluded that some foods distributed in Yazd are contaminated with AFs, and a significant number of people are exposed to high concentrations of AFM1.
Keywords	diet ; demographic factors ; cancer ; aflatoxin m1 ; iran ; Environmental sciences ; GE1-350
Subject code	610
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	Kerman University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of DNA methylation on cardiometabolic risk factors

Zahra Barouti / Motahar Heidari-Beni / Anahita Shabanian-Boroujeni / Morteza Mohammadzadeh / Vida Pahlevani / Parnian Poursafa / Fatemeh Mohebpour / Roya Kelishadi

Archives of Public Health, Vol 80, Iss 1, Pp 1-

a systematic review and meta-analysis

2022 Volume 16

Abstract: Abstract Background Epigenetic changes, especially DNA methylation have a main role in regulating cardiometabolic disorders and their risk factors. This study provides a review of the current evidence on the association between methylation of some genes ( ...

Abstract	Abstract Background Epigenetic changes, especially DNA methylation have a main role in regulating cardiometabolic disorders and their risk factors. This study provides a review of the current evidence on the association between methylation of some genes (LINE1, ABCG1, SREBF1, PHOSPHO1, ADRB3, and LEP) and cardiometabolic risk factors. Methods A systematic literature search was conducted in electronic databases including Web of Science, PubMed, EMBASE, Google Scholar and Scopus up to end of 2020. All observational human studies (cross-sectional, case–control, and cohort) were included. Studies that assessed the effect of DNA methylation on cardiometabolic risk factors were selected. Results Among 1398 articles, eight studies and twenty-one studies were included in the meta-analysis and the systematic review, respectively. Our study showed ABCG1 and LINE1 methylation were positively associated with blood pressure (Fisher’s zr = 0.07 (0.06, 0.09), 95% CI: 0.05 to 0.08). Methylation in LINE1, ABCG1, SREBF1, PHOSPHO1 and ADRB3 had no significant association with HDL levels (Fisher’s zr = − 0.05 (− 0.13, 0.03), 95% CI:-0.12 to 0.02). Positive association was existed between LINE1, ABCG1 and LEP methylation and LDL levels (Fisher’s zr = 0.13 (0.04, 0.23), 95% CI: 0.03 to 0.23). Moreover, positive association was found between HbA1C and ABCG1 methylation (Fisher’s zr = 0.11 (0.09, 0.13), 95% CI: 0.09 to 0.12). DNA methylation of LINE1, ABCG1 and SREBF1 genes had no significant association with glucose levels (Fisher’s zr = 0.01 (− 0.12, 0.14), 95% CI:-0.12 to 0.14). Conclusion This meta-analysis showed that DNA methylation was associated with some cardiometabolic risk factors including LDL-C, HbA1C, and blood pressure. Registration Registration ID of the protocol on PROSPERO is CRD42020207677 .
Keywords	Epigenomics ; DNA methylation ; Cardiometabolic risk factors ; Meta-analysis ; Public aspects of medicine ; RA1-1270
Subject code	610
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Effect of Tumor Markers ER, Her2, and Ki67 on Long-Term and Short-Term Survival of Women with Breast Cancer Using Bayesian Cure Model

Morteza Mohammadzadeh / Hossein Fallahzadeh / Nima Pahlavani / Fariba Binesh / Vida Pahlavani

مجله دانشکده پزشکی اصفهان, Vol 37, Iss 542, Pp 1074-

2019 Volume 1079

Abstract: Background: Breast cancer is the second leading cause of death from cancer among women, and many factors are involved in its creation. The purpose of this study was to evaluate the effect of tumor markers on the survival of women with this cancer using ... ...

Abstract	Background: Breast cancer is the second leading cause of death from cancer among women, and many factors are involved in its creation. The purpose of this study was to evaluate the effect of tumor markers on the survival of women with this cancer using Bayesian cure analysis. Methods: This was a population-based cohort study on 500 women with breast cancer registered in Shahid Ramazanzadeh hospital, Yazd City, Iran, from the April 2010 until March 2015, using Kaplan-Meier method and Bayesian cure model. The data were analyzed using R software. P < 0.050 was considered as the significance level. Findings: Based on Kaplan-Meier method, the 6-year cumulative survival for patients with breast cancer was 0.737. The mean age of breast cancer diagnosis was 48.03 ± 11.16 years, and the mean survival period was 97.64 ± 4.23 months. Bayesian cure model showed that Ki67 [hazard ratio (HR) = 1.34, 95% prediction interval (PI): 1.01-2.28] and ER (HR = 2.11, PI 95%: 1.99-2.36) were significantly related to hazard, and ER was significantly related to cure (OR = 0.38, PI 95%: 0.26-0.57). Conclusion: According to Bayesian cure analysis in this study, ER variable is also effective on short-term survival and long-term survival of patients. Cure models have the ability to analyze patients’ survival data, and can differentiate long-term survival from short- term survival. The interpretation of survival data with these statistical models could be more accurate.
Keywords	breast cancer ; survival analysis ; bayesian method ; estrogen receptors ; Medicine ; R ; Medicine (General) ; R5-920
Subject code	610
Language	Persian
Publishing date	2019-12-01T00:00:00Z
Publisher	Vesnu Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Pathogens\' Reduction in Vermicompost Process Resulted from the Mixed Sludge Treatments-Household Wastes

Hossien Karimi / Mohammad Rezvani / Morteza Mohammadzadeh / Yaser Eshaghi / Mehdi Mokhtari

Journal of Environmental Health and Sustainable Development, Vol 1, Iss 3, Pp 153-

2016 Volume 58

Abstract: Introduction: The presence of pathogenic microbial agents and pathogens in organic fertilizers causes health problems and disease transmission. The aim of this study was to evaluate the efficiency of vermicomposting process in improve the microbial ... ...

Abstract	Introduction: The presence of pathogenic microbial agents and pathogens in organic fertilizers causes health problems and disease transmission. The aim of this study was to evaluate the efficiency of vermicomposting process in improve the microbial quality of the compost produced. Materials and Methods: This experimental study was conducted as a pilot-scale one, in the laboratory of school of Health. In order to produce vermicompost, some perishable domestic waste were mixed whit sludge of wastewater treatment plant in a reactor. Tests to determine the microbial quality of the product were carried out at an early stage, during the process of production, and on the final product. The worms used for the production of vermicompost were Eiseniafotida worms. Results: According to the results of this study, a significant decrease was observed in the number of fecal coliforms in Sludge- domestic waste; as the number of fecal coliforms reduced from 7500000 (MPN/g), in the raw sample, to 1500 (MPN/g), eight weeks after the outset. Removal efficiency of fecal coliforms was 99.98 percent. Moreover, according to the obtained results, the mixture of Sludge and domestic waste had some parasite eggs (22 number/gr) in the raw samples. This amount was fully removed by the process of vermicomposting, during the forth week. Conclusion: The results showed that earthworms are a great ability to remove pathogens but to reach the standard set in mixed microbial treatment sludge - waste can not be sure.
Keywords	Vermicompost ; Sludge ; Solid Waste ; Pathogen ; Reduction. ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Subject code	660
Language	English
Publishing date	2016-12-01T00:00:00Z
Publisher	Shahid Sadoughi University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Application of Bayesian Method in Validation of TTM Decisional Balance and Self-Efficacy Constructs to Improve Nutritional Behavior in Yazdian Prediabetes

Hossein Fallahzadeh / SeyedSaeed mazloomy mahmoodaabad / Vida Pahlevani / Morteza Mohammadzadeh / Moslem TaheriSodjani

Toloo-e-behdasht, Vol 16, Iss 2, Pp 110-

2017 Volume 122

Abstract: Introduction: To introduce Bayesian method in validation of transtheoretical model’s Self-Efficacy and Decisional Balance for nutritional behavior improvement among Prediabetes with ordinal data. Methods: This is an Experimental trial with parallel ... ...

Abstract	Introduction: To introduce Bayesian method in validation of transtheoretical model’s Self-Efficacy and Decisional Balance for nutritional behavior improvement among Prediabetes with ordinal data. Methods: This is an Experimental trial with parallel design and sample was included 220 Prediabetes who Participated in screening program and had over 30 years old, fasting blood glucose ranged 100-125 and at least elementary Education. We used OpenBugs 3.2.3 to fit Bayesian ordinal factor analysis to achieve validation of TTM’s decisional balance and self-efficacy. Results: All of the factor loadings corresponded to mentioned constructs was significant at α= 0.05%. That support validation of the Constructs. Correlation between Pros and Cons was not significant(-0.076, 0.007).Furthermore a specific statistical model for ordinal data created that can estimate odds ratios and marginal Probabilities for each choice of any item in questionnaire. Conclusion: Thanks to benefits of Bayesian method in use of prior information such as Meta-analysis and other resources, In comparison to similar studies that used standard or other factor analysis for ordinal data, our results had good accuracy(with aspect to standard deviation) even with lower sample size.so the results can be used in future clinical researches.
Keywords	Keywords: Bayesian Ordinal Factor Analysis ; Transtheoretical model ; Self-Efficacy ; Decisional Balance ; Diabetes ; Public aspects of medicine ; RA1-1270
Subject code	310
Language	Persian
Publishing date	2017-07-01T00:00:00Z
Publisher	Shahid Sadoughi University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Relationship between Mental Health and Quality of Working Life among Clinical Staff of Selected Hospitals of Medical Sciences, Yazd

Zahra Mahmoodian Ardakani / Mohammad Amin Bahrami / Razieh Montazeralfaraj / Hossein Fallahzadeh / Morteza Mohammadzadeh

Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, Vol 1, Iss 2, Pp 119-

2017 Volume 127

Abstract: Background: Quality of working life and mental health is one of the important factors affecting organizations' performance. The aim of this study was to investigate the relationship between the quality of working life and mental health in clinical staffs ...

Abstract	Background: Quality of working life and mental health is one of the important factors affecting organizations' performance. The aim of this study was to investigate the relationship between the quality of working life and mental health in clinical staffs of the selected educational hospitals of Yazd. Methods: This cross-sectional and analytical study was carried out from 2015 to 2016 in 3 hospitals of Yazd. In total, 350 clinical staffs of these hospitals participated in the study. Stratified random sampling was performed. Data were then collected through Walton's quality of working life questionnaires (1973) as well as Goldberg and Hiller's mental health questionnaire (1979), SPSS 22 software and AMUS were further applied to analyze data. Results: Quality of working life affects mental health with regression coefficient of- 0.14. Among the obvious components of mental health and quality of working life, belief in the rule of law with a coefficient of 1.90 and depression symptoms by a coefficient of 1.37 had respectively the greatest impact in calculation of mental health and quality of working life. However, physical incompatibility with coefficient of 1.00 and valid beneficial social work with a coefficient of 0.04 had the lowest effects, respectively. Conclusion: According to the study, modification of working life quality can lead to better mental health and improve clinical staff performance.
Keywords	Clinical Staff ; Quality of Working Life ; Mental Health ; Hospital ; Medicine (General) ; R5-920
Subject code	360
Language	Persian
Publishing date	2017-01-01T00:00:00Z
Publisher	Shahid Sadoughi University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Relationship between Organizational Learning and Organizational Agility in Teaching Hospitals of Yazd

Mohammad Amin Bahrami / Mohammad Mehdi Kiani / Hossein Fallahzadeh / Razieh Montazeralfaraj / Morteza Mohammadzadeh

Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, Vol 1, Iss 1, Pp 71-

2016 Volume 80

Abstract: Background: In organizational learning theory, organization is defined as an open system that has the ability to anticipate, identify, define, design, and solve its problems. This study was aimed to examine the relationship between organizational ... ...

Abstract	Background: In organizational learning theory, organization is defined as an open system that has the ability to anticipate, identify, define, design, and solve its problems. This study was aimed to examine the relationship between organizational learning and organizational agility in the teaching hospitals of the city of Yazd. Methods: This analytical and cross-sectional study was conducted in 2015 in four teaching hospitals of the city of Yazd. A total of 370 administrative and medical staff contributed in the study. We used stratified-random method for sampling. The required data were gathered using two valid questionnaires including organizational learning questionnaire (Neefe 2001) and organizational agility questionnaire according to the theory of Sharifi & Zhang (1999) being analyzed trough statistical softwares of R and lavaan package, semPlot and semtool for structural equation model and SPSS18 for descriptive statistics. Results: Our results showed a positive significant relationship between organizational learning and organizational agility (0.521). Conclusion: Based on the findings it can be concluded that the implementation of appropriate strategies for improving the organizational capacity to direct its employees’ mental abilities, can improve the ability of organization’s rapid response to surrounding issues which is crucial for its survival and dynamics in today’s changing world.
Keywords	Organizational learning ; Organizational agility ; Hospital ; Medicine (General) ; R5-920
Subject code	370
Language	Persian
Publishing date	2016-10-01T00:00:00Z
Publisher	Shahid Sadoughi University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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