A Study Over Brain Connectivity Network of Parkinson's Patients, Using Nonparametric Bayesian Model.

Introduction: Parkinson disease is a neurodegenerative disease that disrupts functional brain networks. Many neurodegenerative disorders are associated with changes in brain communication patterns. Resting-state functional connectivity studies can distinguish the topological structure of Parkinson patients from healthy individuals by analyzing patterns between different regions of the brain.

Overall survival with non-proportional hazards in first-line treatment for patients with metastatic colorectal cancer: Systematic review and network meta-analysis.

This study aimed to identify the most effective first-line treatment for patients with metastatic colorectal cancer based on overall survival, identify the most commonly used treatment, and generate a meaningful ranking among all available treatments based on their relative effectiveness. Researchers used the ANOVA parametrization method to fit the second-order fractional polynomial network meta-analysis with a random-effect model. Using a non-proportional hazards network meta-analysis, 46 treatments were compared by considering a combination of direct and indirect evidence extracted from clinical trial studies.

Incidence of Alzheimer Disease and Related Dementias in Iran From 2010 to 2019.

This is the first comprehensive national and subnational epidemiological study reporting the incidence of Alzheimer disease and related dementias (ADRD) in Iran from 2010 to 2019 and predictions for 2024. We extracted age-standardized incidence stratified by sex and provinces from the Institute for Health Measurement and Evaluation (IHME). Arc Map GIS was used to report the geographical distribution, and the Cochran-Armitage test was used for prediction.

The Global Burden of Metabolic Risk in Cardiovascular Disease: Trends in Disability-Adjusted Life Years from the Global Burden of Disease Study, 2019.

Metabolic risk factors significantly elevate the risk of cardiovascular diseases (CVDs) and are recognized as one of the primary contributors to these conditions. This study explored the trends and percentage changes in disability-adjusted life years (DALYs) attributable to metabolic risk factors for CVD from 1990 to 2019. Data from the Global Burden of Disease study was utilized to depict changes across metabolic risk factors by sociodemographic indices and sex groups.

The association of preoperative hematologic parameters with short-term clinical outcomes in rectal cancer: A feature importance analysis.

Background: Various hematologic parameters have been proposed as prognostic factors in rectal cancer management, but data are conflicting and unclear. This study is designed to investigate the prognostic factor capability of preoperative hematologic parameters with postoperative morbidities and mortality in rectal cancer patients undergoing curative resection.

Methods: All 200 consecutive rectal cancer patients diagnosed at Ghaem University Hospital from 2017 to 2022 were retrospectively evaluated.

Secondary analysis: Graph analysis of brain connectivity network in autism spectrum disorder.

Background: Autism spectrum disorder is a neurodevelopmental condition in which impaired connectivity of the brain network. The functional magnetic resonance imaging (fMRI) technique can provide information on the early diagnosis of autism by evaluating communication patterns in the brain. The present study aimed to assess functional connectivity (FC) variations in autism patients.

Metabolic Syndrome and Ischemic Stroke in Iran: Incidence and Disability-Adjusted Life Years 1990 to 2019.

Metabolic syndrome (MS) is one of the conditions that may increase the risk of ischemic stroke (IS). This study focuses on factors of MS related to the incidence, years of life lost (YLL), and years of life disability (YLD) caused by IS. The age-adjusted data (incidence, YLL, and YLD) related to four factors of MS [fasting plasma glucose, body mass index (BMI), low-density lipoprotein, and systolic blood pressure, SBP] were extracted as risk factors for IS during the years 1990 to 2019 from global burden of disease study.

Adjustment for collider bias in the hospitalized Covid-19 setting.

Background: Causal directed acyclic graphs (cDAGs) are frequently used to identify confounding and collider bias. We demonstrate how to use causal directed acyclic graphs to adjust for collider bias in the hospitalized Covid-19 setting.

Materials And Methods: According to the cDAGs, three types of modeling have been performed.

Group-level comparison of brain connectivity networks.

Background: Functional connectivity (FC) studies are often performed to discern different patterns of brain connectivity networks between healthy and patient groups. Since many neuropsychiatric disorders are related to the change in these patterns, accurate modelling of FC data can provide useful information about disease pathologies. However, analysing functional connectivity data faces several challenges, including the correlations of the connectivity edges associated with network topological characteristics, the large number of parameters in the covariance matrix, and taking into account the heterogeneity across subjects.

Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients.

Background: Automated image segmentation is an essential step in quantitative image analysis. This study assesses the performance of a deep learning-based model for lung segmentation from computed tomography (CT) images of normal and COVID-19 patients.

Methods: A descriptive-analytical study was conducted from December 2020 to April 2021 on the CT images of patients from various educational hospitals affiliated with Mashhad University of Medical Sciences (Mashhad, Iran).

Analysis of injuries and deaths from road traffic accidents in Iran: bivariate regression approach.

Backgrounds: This study aims to estimate and compare the parameters of some univariate and bivariate count models to identify the factors affecting the number of mortality and the number of injured in road accidents.

Methods: The accident data used in this study are related to Kermanshah province in march2020 to march2021. Accidents areas were divided into 125 areas based on density characteristics.

Topical Administration of on Diabetic Foot Ulcers Accelerates Healing: A Placebo-Controlled Randomized Clinical Study.

Diabetic foot ulcer is one of the most devastating complications of uncontrolled diabetes. Although there have been advances in the management of diabetic foot ulcers, still diabetic foot ulcers are a major cause of many amputations in diabetic patients. () is widely used by folk medicine practitioners in Iran for the treatment of diabetic ulcers.

Bayesian statistics versus classical statistics in survival analysis: an applicable example.

Background: Heart disease is the leading cause of death in the world and 17 million people die from cardiovascular diseases around the world each year, so finding factors that affect the survival of these patients is of particular importance. Therefore, finding the best model to analyze patient survival can help to find more accurate results.

Methods: There are different methods to survival analysis that assess one or more risk factors; the classic Kaplan-Meier method, Cox regression, parametric survival models, and newer models such as Bayesian survival.

Measles, mumps, and rubella (MMR) vaccine and COVID-19: a systematic review.

This study was performed to investigate published literature about the association between measles, mumps, and rubella (MMR) vaccine and COVID-19. This is a systematic review in which the databases of Chocrane, Pubmed, Scopus, Web of Science as well as reliable journals including Lancet, New England Journal of Medicine, Jama and also Centers for Disease Control and Prevention (CDC) publications were searched.Out of 169 documents discovered during the literature review, 56 ones were somehow related to the association between MMR vaccine and COVID-19, of which 11 ones mentioned the association between these two, and 8 of them contained a hypothesis about this relationship.

Functional Brain Response to Emotional Musical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference.

Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely. One of the powerful tools for eliciting and regulating emotion is music.

Centrality Analysis of Protein-Protein Interaction Networks and Molecular Docking Prioritize Potential Drug-Targets in Type 1 Diabetes.

Type 1 diabetes (T1D) occurs as a consequence of an autoimmune attack against pancreatic β- cells. Due to a lack of a clear understanding of the T1D pathogenesis, the identification of effective therapies for T1D is the active area in the research. The study purpose was to prioritize potential drugs and targets in T1D via systems biology approach.

Incidence of adverse reaction in blood donation: a systematic review.

There are a lot of reports related to adverse reactions post blood donation. The present study is designed to investigate the incidence of adverse reactions in blood donation around the world. This research was conducted through searching databases such as PubMed, Web of Science, Scopus, EmBase, Ovid, as well as the specialized journal of TRANSFUSION without any time limit by using the keywords including "Adverse Event", "Adverse Effect", "Adverse Reaction", "Complication", "Side Effect", "Vasovagal Reaction", "Local Reaction", "General Reaction", "Allergic Reaction", "Blood Donor", and "Blood Donation".

Impact of Mass Screening on the Number of Confirmed Cases, Recovered Cases, and Deaths Due to COVID-19 in Iran: An Interrupted Time Series Analysis.

Background: Mass screening for the coronavirus disease 2019 (COVID-19) began in Iran on March 23, 2020, with the purpose of improving early detection of patients for their own health and to prevent onward transmission to others. In this study, we evaluated the impact of the change towards mass screening on new cases reported, cases recovered, and deaths due to COVID-19.

Methods: This study analyzed the daily reports on the number of new cases confirmed by polymerase chain reaction (PCR) testing, cases recovered, and deaths due to COVID-19 provided to the Ministry of Health and Medical Education of Iran.

Trend of Congenital Hypothyroidism Incidence and Its Affecting Factors in Shahr-e-Kord, Western Iran.

Background: Congenital hypothyroidism is one of the most common endocrine disrupters and metabolism, and is one of the most important preventable causes of physical and mental disabilities.

Methods: This was a case-control study, in which 54468 infants were screened from 2006 to 2014 in Shahre-Kord, western Iran. To describe the data, central and dispersion indices such as mean and standard deviation was used.

Identification of common key genes and pathways between type 1 diabetes and multiple sclerosis using transcriptome and interactome analysis.

Purpose: Type 1 diabetes (T1D) and multiple sclerosis (MS) are classified as T cell-mediated autoimmune diseases. Although convergent evidence proposed common genetic architecture for autoimmune diseases, it remains a challenge to identify them. This study aimed to determine common gene signature and pathways in T1D and MS via systems biology approach.