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  1. Article: Determination of the Risk Factors for Breast Cancer Survival using the Bayesian Method, Yazd, Iran.

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

    Advanced biomedical research

    2021  Volume 10, Page(s) 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.
    Language English
    Publishing date 2021-11-26
    Publishing country India
    Document type Journal Article
    ZDB-ID 2672524-1
    ISSN 2277-9175
    ISSN 2277-9175
    DOI 10.4103/abr.abr_152_19
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Effects of DNA methylation on cardiometabolic risk factors: a systematic review and meta-analysis.

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

    Archives of public health = Archives belges de sante publique

    2022  Volume 80, Issue 1, Page(s) 150

    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, ...

    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 .
    Language English
    Publishing date 2022-06-02
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1117688-x
    ISSN 2049-3258 ; 0778-7367 ; 0003-9578
    ISSN (online) 2049-3258
    ISSN 0778-7367 ; 0003-9578
    DOI 10.1186/s13690-022-00907-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Screening for Developmental Disorders in 4 to 60 Months Old Children in Iran (2015–2016)

    Ahmadipour, Shokoufeh / Mohammadzadeh, Morteza / Mohsenzadeh, Azam / Birjandi, Mehdi / Almasian, Mohammad

    Journal of Pediatric Neurology

    2018  Volume 17, Issue 01, Page(s) 8–12

    Abstract: Developmental delay occurs when children fail to reach their developmental milestones at the appropriate time. The aim of this study was to determine the prevalence of developmental disorders as well as their correlations with selected demographic ... ...

    Abstract Developmental delay occurs when children fail to reach their developmental milestones at the appropriate time. The aim of this study was to determine the prevalence of developmental disorders as well as their correlations with selected demographic factors affecting development in children 4 to 60 months old in Khorramabad, Iran from 2015 to 2016. In this cross-sectional study, 500 children from 4 to 60 months of age and visiting health service centers were selected. Developmental status was measured using the Ages and Stages Questionnaire, and supplementary data were collected by separate questionnaires. Data were analyzed by the SPSS software using the independent t -test, chi-square test, and Mann–Whitney U test. Note that 8.6% of the children assessed in this study had developmental disorders. The mean age of the children in the normal group was 21.95 ± 16.42 months and in the developmental delay group was 16 ± 13.46 months. The highest prevalence of developmental delay was in the fine motor area (4.2%) and the lowest was in the personal–social area (1.4%). There were correlations between developmental disorder and the child's age ( p  = 0.006), birth order ( p  = 0.02), mother's education ( p  = 0.007), and father's education ( p  = 0.002). The parents' age, familial marriage, history of developmental disorders in the family, and the child's gender were not correlated with developmental disorders. Due to the high prevalence of developmental disorders and the importance of early identification and intervention, it is necessary to diagnose developmental disorders at early ages.
    Keywords Ages and Stages Questionnaire ; children ; developmental disorders ; early ages
    Language English
    Publishing date 2018-01-04
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ISSN 1875-9041 ; 1304-2580
    ISSN (online) 1875-9041
    ISSN 1304-2580
    DOI 10.1055/s-0037-1612620
    Database Thieme publisher's database

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