Association between EPCAM upregulation and clinicopathological parameters and outcomes of breast cancer.

Introduction: EpCAM (epithelial cell adhesion molecule) protein expression was detected in 45 to 90% of breast cancers in different studies, and high expression levels were associated with poor outcomes in several retrospective analyses. This study aims to investigate the relationship between EpCAM and clinicopathological parameters and survival in breast cancer.

Methodology: This study was conducted as a Quasi-Experimental Cohort Study to explore 100 breast cancer patients.

The effect of results-based motivating system on metabolic risk factors of non-communicable diseases: A field trial study.

Background: Non-communicable diseases can be controlled and managed by reducing their associated metabolic risk factors. In this study, a set of intervention packages were designed to reduce the prevalence of three common metabolic risk factors (hypertension, hyperlipidemia, and obesity and overweight) in the community by motivating non-physician health workers.

Methods: A field trial study was conducted in 4 districts of Iran.

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study.

Objectives: This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life.

Methods: This crosssectional study analyzed data from 3376 adults over 30 years old at 16 comprehensive health service centers in Tehran, Iran who participated in a diabetes screening program. The dataset was balanced using random sampling and the synthetic minority over-sampling technique (SMOTE).

Motivating non-physician health workers to reduce the behavioral risk factors of non-communicable diseases in the community: a field trial study.

Background: Non-communicable diseases behavioral risk factors can be improved if effective interventions are designed considering the health system's capabilities and local resources. This study evaluated the effectiveness of interventions that aimed at increasing non-physician community health workers' motivation in reducing non-communicable diseases behavioral risk factors in the community.

Methods: A randomized field trial study was conducted in 32 community health centers in 4 Iranian districts after a baseline population survey on the status of NCDs of 30-70-year-old individuals (n = 1225).

The impact of intraoperative radiotherapy on breast cancer: focus on the levels of angiogenic factors.

Objective: Angiogenesis is one of the hallmarks of cancers that is involved in tumor progression. Angiogenic factors induce the formation of new blood vessels and tumor extension, and finally reduce the survival of patients. Intraoperative radiotherapy (IORT), in which radiation is delivered to the tumor bed can kill cells and change tumor microenvironment.

Adverse effects following COVID-19 vaccination in Iran.

Background: Vaccination is a key intervention to prevent COVID-19. Many vaccines are administered globally, yet there is not much evidence regarding their safety and adverse effects. Iran also faces this challenge, especially as data regarding the Sputnik V vaccine is sparse.

Evaluating the impact of results-based motivating system on noncommunicable diseases risk factors in Iran: Study protocol for a field trial.

Risk factors of noncommunicable diseases (NCD) are increasingly contributing to morbidity and mortality in Iran. Health care providers' competencies and motivation are essential factors for the success and efficiency of primary health care. This field trial aims to evaluate the impact of a results-based motivating system on population level of the NCD risk factors field trial (IRPONT) in Iran.

Population-Based Approaches to Prevent Domestic Violence against Women Using a Systematic Review.

In this systematic review, we aimed to evaluate the existing strategies and interventions in domestic violence prevention to assess their effectiveness. To select studies, Pubmed, ISI, CINAHL, PsycINFO, Cochrane, Scopus, Embase, Ovid, Science Direct, ProQuest, and Elsevier databases were searched. Two authors reviewed all papers using established inclusion/ exclusion criteria.

Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran.

Cancer is a problem of both global and local concern. We determined the geo-epidemiological and spatial distribution of the 10 most common cancers in Iran. We used the data of the Iranian Cancer Registry for the year 2014 analysing the prevalence of 112,131 registered cancer cases with the aim of detecting potential geographical underlying causes.

Early estimation of the epidemiological parameters of novel coronavirus disease (COVID-2019) outbreak in Iran: 19 Feb-15 March, 2020.

Aim: To estimate the epidemiological parameters related to the Covid-19 outbreak in Iran.

Background: Estimating the epidemiological parameters of new public health threat (COVID-19) is essential to support and inform public health decision-making in different communities including Iran.

Methods: We established a mathematical model to estimate the epidemiological parameters from 19 Feb to 15 March based on daily COVID-19 confirmed cases in Iran.

How Much Hypertension is Attributed to Overweight, Obesity, and Hyperglycemia Using Adjusted Population Attributable Risk in Adults?

Background: High blood pressure (HBP) is a proven risk factor for cardiovascular diseases. So, determining the extent of the contribution of the factors associated with HBP seems to be necessary. Accordingly, this study aimed to investigate how much the prevalence of HBP attributed to obesity and high blood glucose (HBG).

Stillbirth in Iran and associated factors (2014-2016): A population-based study.

Under Every Newborn Action Plan (ENAP), stillbirth rate in every country should be reduced by 12 or fewer per 1000 total births by 2030. The aims of this study were to determine stillbirth rate at national and subnational levels and to investigate its associated risk factors in Iran. Using all data from Iranian Maternal and Neonatal Network (IMaN), we calculated stillbirth rate of Iran from 2014-2016.

Early Cessation of Breastfeeding and Determinants: Time to Event Analysis.

Background: The onset of breastfeeding has a high success rate in most countries, but the time for termination of breastfeeding varies between countries.

Objective: This survey was aimed to determine the effective factors on the early termination of breastfeeding.

Methods: This study was conducted in 2018, in Iran.

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017.

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends.

Breast Cancer Survival Analysis Based on Immunohistochemistry Subtypes (ER/PR/HER2): a Retrospective Cohort Study.

Background: We conducted this study to estimate the prevalence of biomarkers, including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) among patients with breast cancer and to explore their effects on disease mortality.

Methods: We conducted this registry-based retrospective cohort study in Tehran, in 2014, using the data on 1622 patients with breast cancer, diagnosed pathologically and registered with the Comprehensive Cancer Control Center from 1998 to 2013. The outcome of interest was the survival probability of patients with breast cancer based on receptor status along with other prognostic factors such as age, histopathology, stage/grade of tumor, metastatic status, and surgical procedures using the life table, Kaplan-Meier curves, and multivariate Cox proportional hazard model.