Cerebellar Microstructural Abnormalities in Obsessive-Compulsive Disorder (OCD): a Systematic Review of Diffusion Tensor Imaging Studies.

Previous neuroimaging studies have suggested that obsessive-compulsive disorder (OCD) is associated with altered resting-state functional connectivity of the cerebellum. In this study, we aimed to describe the most significant and reproducible microstructural abnormalities and cerebellar changes associated with obsessive-compulsive disorder (OCD) using diffusion tensor imaging (DTI) investigations. PubMed and EMBASE were searched for relevant studies using the PRISMA 2020 protocol. A total of 17 publications were chosen for data synthesis after screening titles and abstracts, full-text examination, and executing the inclusion criteria. The patterns of cerebellar white matter (WM) integrity loss, determined by fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) metrics, varied across studies and symptoms. Changes in fractional anisotropy (FA) values were described in six publications, which were decreased in four and increased in two studies. An increase in diffusivity parameters of the cerebellum (i.e., MD, RD, and AD) in OCD patients was reported in four studies. Alterations of the cerebellar connectivity with other brain areas were also detected in three studies. Heterogenous results were found in studies that investigated cerebellar microstructural abnormalities in correlation with symptom dimension or severity. OCD's complex phenomenology may be characterized by changes in cerebellar WM connectivity across wide networks, as shown by DTI studies on OCD patients in both children and adults. Classification features in machine learning and clinical tools for diagnosing OCD and determining the prognosis of the disorder might both benefit from using cerebellar DTI data.

Machine learning-derived clinical decision algorithm for the diagnosis of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism.

PURPOSE: To train and validate machine learning-derived clinical decision algorithm (MLCDA) for the diagnosis of hyperfunctioning parathyroid glands using preoperative variables to facilitate surgical planning. METHODS: This retrospective study included 458 consecutive primary hyperparathyroidism (PHPT) patients who underwent combined 4D-CT and sestamibi SPECT/CT (MIBI) with subsequent parathyroidectomy from February 2013 to September 2016. The study cohort was divided into training (first 400 patients) and validation sets (remaining 58 patients). Sixteen clinical, laboratory, and imaging variables were evaluated. A random forest algorithm selected the best predictor variables and generated a clinical decision algorithm with the highest performance (MLCDA). The MLCDA was trained to predict the probability of a hyperfunctioning vs normal gland for each of the four parathyroid glands in a patient. The reference standard was a four-quadrant location on operative reports and pathology. The accuracy of MLCDA was prospectively validated. RESULTS: Of 16 variables, the algorithm selected 3 variables for optimal prediction: combined 4D-CT and MIBI using (1) sensitive reading, (2) specific reading, and (3) cross-product of serum calcium and parathyroid hormone levels and outputted an MLCDA using five probability categories for hyperfunctioning glands. The MLCDA demonstrated excellent accuracy for correct classification in the training (4D-CT + MIBI: 0.91 [95% CI: 0.89-0.92]) and validation sets (4D-CT + MIBI: 0.90 [95% CI: 0.86-0.94]. CONCLUSION: Machine learning generated a clinical decision algorithm that accurately diagnosed hyperfunctioning parathyroid glands through classification into probability categories, which can be implemented for improved preoperative planning and convey diagnostic certainty. KEY POINTS: Question Can an MLCDA use preoperative variables for the diagnosis of hyperfunctioning parathyroid glands to facilitate surgical planning? Findings The developed MLCDA demonstrated excellent accuracy for correct classification in the training (0.91 [95% CI: 0.89-0.92]) and validation sets (0.90 [95% CI: 0.86-0.94]). Clinical relevance Using standard preoperative variables, an MLCDA for diagnosing hyperfunctioning parathyroid glands can be implemented to improve preoperative parathyroid localization and included in radiology reports for surgical planning.

Burden of type 2 diabetes mellitus and its risk factors in North Africa and the Middle East, 1990-2019: findings from the Global Burden of Disease study 2019.

BACKGROUND: The prevalence of Type 2 Diabetes Mellitus (T2DM) in the North Africa and Middle East region is alarmingly high, prompting us to investigate the burden and factors contributing to it through the GBD study. Additionally, there is a lack of knowledge about the epidemiological status of T2DM in this region, so our aim is to provide a comprehensive overview of the burden of T2DM and its associated risk factors. METHODS: Using data from the 2019 Global Burden of Disease Study, we calculated the attributable burden of T2DM for each of the 21 countries in the region for the years 1990 and 2019. This included prevalence, mortality, disability-adjusted life years (DALYs), and risk factors. RESULTS: Between 1990 and 2019, there was a significant increase in the age-standardized incidence (79.6%; 95% Uncertainty Interval: 75.0 to 84.5) and prevalence (85.5%; [80.8 to 90.3]) rates of T2DM per 100,000 populations. The age-standardized mortality rate (1.7%; [-10.4 to 14.9]), DALYs (31.2%; [18.3 to 42.2]), and years lived with disability (YLDs) (82.6%; [77.2 to 88.1]) also increased during this period. Modifiable risk factors, such as high body mass index (56.4%; [42.8 to 69.8]), low physical activity (15.5%; [9.0 to 22.8]), and ambient particulate matter pollution (20.9%; [15.2 to 26.2]), were the main contributors to the number of deaths. CONCLUSION: The burden of T2DM, in terms of mortality, DALYs, and YLDs, continues to rise in the region. The incidence rate of T2DM has increased in many areas. The burden of T2DM attributed to modifiable risk factors continues to grow in most countries. Targeting these modifiable risk factors could effectively reduce the growth and disease burden of T2DM in the region.

Deep learning for temporomandibular joint arthropathies: A systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: The accurate diagnosis of temporomandibular disorders continues to be a challenge, despite the existence of internationally agreed-upon diagnostic criteria. The purpose of this study is to review applications of deep learning models in the diagnosis of temporomandibular joint arthropathies. MATERIALS AND METHODS: An electronic search was conducted on PubMed, Scopus, Embase, Google Scholar, IEEE, arXiv, and medRxiv up to June 2023. Studies that reported the efficacy (outcome) of prediction, object detection or classification of TMJ arthropathies by deep learning models (intervention) of human joint-based or arthrogenous TMDs (population) in comparison to reference standard (comparison) were included. To evaluate the risk of bias, included studies were critically analysed using the quality assessment of diagnostic accuracy studies (QUADAS-2). Diagnostic odds ratios (DOR) were calculated. Forrest plot and funnel plot were created using STATA 17 and MetaDiSc. RESULTS: Full text review was performed on 46 out of the 1056 identified studies and 21 studies met the eligibility criteria and were included in the systematic review. Four studies were graded as having a low risk of bias for all domains of QUADAS-2. The accuracy of all included studies ranged from 74% to 100%. Sensitivity ranged from 54% to 100%, specificity: 85%-100%, Dice coefficient: 85%-98%, and AUC: 77%-99%. The datasets were then pooled based on the sensitivity, specificity, and dataset size of seven studies that qualified for meta-analysis. The pooled sensitivity was 95% (85%-99%), specificity: 92% (86%-96%), and AUC: 97% (96%-98%). DORs were 232 (74-729). According to Deek's funnel plot and statistical evaluation (p =.49), publication bias was not present. CONCLUSION: Deep learning models can detect TMJ arthropathies high sensitivity and specificity. Clinicians, and especially those not specialized in orofacial pain, may benefit from this methodology for assessing TMD as it facilitates a rigorous and evidence-based framework, objective measurements, and advanced analysis techniques, ultimately enhancing diagnostic accuracy.

Low bone mineral density, a neglected condition in North Africa and Middle East: estimates from the Global Burden of Disease Study, 1990-2019.

Due to the high prevalence of low bone mineral density in North Africa and Middle East region, estimating its attributable burden would help to a better understanding of this neglected condition for policymakers and health researchers. This study presented the number of attributable deaths has doubled from 1990 to 2019. PURPOSE: This study provides the latest estimates of the burden of low bone mineral density (BMD) from 1990 to 2019 in North Africa and Middle East (NAME) region. METHODS: The data were extracted from the global burden of disease (GBD) 2019 study to estimate epidemiological indices such as deaths, disability-adjusted life years (DALYs), and summary exposure value (SEV). SEV is a measure of the exposure of the population to a risk factor that considers the amount of exposure by the level of risk. RESULTS: Our findings showed that in 1990-2019, the number of deaths and DALYs attributable to low BMD had almost doubled in the region and caused 20,371 (95% uncertainty intervals: 14,848-24,374) deaths and 805,959 (630,238-959,581) DALYs in 2019. However, DALYs and death rates showed a decreasing trend after age standardization. Saudi Arabia had the highest, and Lebanon had the lowest age-standardized DALYs rates in 2019, with rates of 434.2 (329.6-534.3) and 90.3 (70.6-112.1) per 100,000, respectively. The highest burden attributable to low BMD was in the 90-94 and over 95 age groups. Also, there was a decreasing trend in age-standardized SEV to low BMD for both sexes. CONCLUSION: Despite the decreasing trend of age-standardized burden indices, considerable amounts of deaths and DALYs were attributable to low BMD, especially in the elderly population, in the region in 2019. As the positive effects of proper interventions will be detectable in the long term, robust strategies and comprehensive stable policies are the ultimate solutions to achieving desired goals.

A Global, Regional, and National Survey on Burden and Quality of Care Index of Multiple Sclerosis: Global Burden of Disease Systematic Analysis 1990-2019.

BACKGROUND: Multiple sclerosis (MS) is a common neurologic autoimmune disorder. We have used a newly introduced measure, Quality of Care Index (QCI), which is associated with the efficacy of care given to patients suffering from MS. OBJECTIVES: The aims of the study were to report and compare the quality of care given to MS patients in different regions and country. METHODS: Primary measures were retrieved from Global Burden of Disease (GBD) from 1990 to 2019. Secondary measures (mortality-to-incidence ratio, DALY-to-prevalence ratio, prevalence-to-incidence ratio, and YLL-to-YLD ratio) were combined using principal component analysis, to form an essential component (QCI) (0-100 index with higher values representing better condition). RESULTS: In 2019, there were 59,345 (95% UI: 51,818-66,943) new MS incident cases globally. Global QCI of 88.4 was calculated for 2019. At national level, Qatar had the highest quality of care (100) followed by Kuwait (98.5) and Greenland (98.1). The lowest QCI was observed in Kiribati (13.5), Nauru (31.5), and Seychelles (36.3), respectively. Most countries have reached gender equity during the 30 years. Also, QCI was lowest in ages from 55 to 80 in global scale. CONCLUSION: MS QCI is better among those countries of higher socioeconomic status, possibly due to better healthcare access and early detection in these regions. Countries could benefit from adopting the introduced QCI to evaluate the quality of care given to MS patients at national and global level.

The Cortico-Limbo-Thalamo-Cortical Circuits: An Update to the Original Papez Circuit of the Human Limbic System.

The Papez circuit, first proposed by James Papez in 1937, is a circuit believed to control memory and emotions, composed of the cingulate cortex, entorhinal cortex, parahippocampal gyrus, hippocampus, hypothalamus, and thalamus. Pursuant to James Papez, Paul Yakovlev and Paul MacLean incorporated the prefrontal/orbitofrontal cortex, septum, amygdalae, and anterior temporal lobes into the limbic system. Over the past few years, diffusion-weighted tractography techniques revealed additional limbic fiber connectivity, which incorporates multiple circuits to the already known complex limbic network. In the current review, we aimed to comprehensively summarize the anatomy of the limbic system and elaborate on the anatomical connectivity of the limbic circuits based on the published literature as an update to the original Papez circuit.

Global, regional, and national burden and quality of care index of liver cirrhosis by cause from global burden of disease 1990-2019.

BACKGROUND AND AIM: Cirrhosis and other chronic liver diseases are complex disorders with a known burden. Currently health systems have different approaches to dealing with this issue. The objective of this study is to describe the burden attributed to and quality of care for cirrhosis and other chronic liver diseases. METHODS: Data of cirrhosis and other chronic liver diseases extracted from Global-Burden-of-Diseases 2019. Four indicators, including mortality to incidence ratio, prevalence to incidence ratio, disability-adjusted-life-years (DALYs) to prevalence ratio, and years-of-life-lost (YLLs) to years-lived-with-disability (YLDs) ratio, were defined and combined by the principal-components-analysis to construct the Quality-of-Care-Index (QCI). RESULTS: The global QCI of cirrhosis increased from 71.0 in 1990 to 79.3 in 2019. The QCI showed a favorable situation in higher SDI countries compared with lower SDI countries, with a QCI of 86.8 in high SDI countries and 60.1 in low SDI countries. The highest QCI was found in Western Pacific Region (90.2), and the lowest was for African Region (60.4). Highest QCI belonged to the 50-54 age group (99.5), and the lowest was for the 30.34 age group (70.9). Among underlying causes of cirrhosis, the highest QCI belonged to alcohol use, followed by hepatitis C and NAFLD with QCIs of 86.1, 85.3, and 81.1. CONCLUSIONS: There was a considerable variation in the QCI of cirrhosis and other chronic liver diseases. Countries with low QCI, mainly located in developing regions, need organized action to control the burden of cirrhosis and its underlying causes and improve their quality of care.

A systematic review and meta-analysis of the global epidemiology of pediatric traumatic spinal cord injuries.

Despite being relatively rare, pediatric traumatic spinal cord injury (TSCI) is a debilitating event with high morbidity and long-term damage and dependency. This study aims to provide insight on the epidemiological characteristics of pediatric TSCI worldwide. The studies were included if they provided data for the pediatric population with the diagnosis of TSCI. Information sources included PubMed, Embase, Web of Science, and Scopus. All databases were searched from 1990 to April 2023. The quality of included studies was evaluated by Joanna Briggs Institute Critical Appraisal Tools. The results of the meta-analysis were presented as forest plots. PROSPERO Registration code: CRD42020189757. We identified 87 studies from 18 developed and 11 developing countries. Of the 87 studies evaluated, 52 studies were considered medium quality, 27 studies were considered high quality, and 8 studies were considered low quality. In developed countries, the proportion of TSCIs occurring in patients aged 0-15 years was 3% (95% CI: 2.2%; 3.9%), while in developing countries, it was 4.5% (95% CI: 2.8%; 6.4%). In developed countries, the pooled incidence of pediatric TSCI was 4.3/millions of children aged 0-15/year (95% CI: 3.1; 6.0/millions children aged 0-15/year) and boys comprised 67% (95% CI: 63%; 70%) of cases. The most prevalent level of injury was cervical (50% [95% CI: 41%; 58%]). The frequency of SCI Without Obvious Radiological Abnormality (SCIWORA) was 35% (95% CI: 18%; 54%) among children 0-17 years. The most common etiology in developed countries was transport injuries (50% [95% CI: 42%; 57%]), while in developing countries falls were the leading cause (31% [95% CI: 20%; 42%]). The most important limitation of our study was the heterogeneity of studies in reporting age subgroups that hindered us from age-specific analyses.   Conclusion: Our study provided accurate estimates for the epidemiology of pediatric TSCI. We observed a higher proportion of pediatric TSCI cases in developing countries compared to developed countries. Furthermore, we identified distinct epidemiological characteristics of pediatric TSCI when compared to adult cases and variations between developing and developed countries. Recognizing these unique features allows for the implementation of cost-effective preventive strategies aimed at reducing the incidence and burden of TSCI in children. What is Known: • Pediatric Traumatic Spinal Cord Injury (TSCI) can have profound physical and social consequences for affected children, their families, and society as a whole. • Epidemiological insights are vital for they provide the data and understanding needed to the identification of vulnerable populations, aiding in the development of targeted prevention strategies and effective resource allocation. What is New: • The estimated incidence of pediatric TSCI in developed countries is 4.3 cases per million children aged 0-15. The proportion of pediatric TSCI cases in relation to all-age TSCI cases is 3% in developed countries and 4.5% in developing countries. • The etiology of TSCI in pediatric cases differs between developing and developed countries. In developed countries, transport injuries are the most prevalent cause of pediatric TSCI, while falls are the least common cause. Conversely, in developing countries, falls are the leading cause of pediatric TSCI.

Burden of road traffic injuries in Iran: a national and subnational perspective, 1990-2019.

OBJECTIVES: Reliable and valid information on burden of road traffic injuries (RTIs) is essential for short-term and long-term planning. We designed the present study to describe the levels and trends of burden of RTIs in Iran from 1990 to 2019. METHODS: This is an observational epidemiological study. We used the Global Burden of Disease (GBD) 2019 estimates to report RTIs incidence, prevalence, mortality and disability-adjusted life-years (DALYs) by sex, age group and road user category in Iran and each of the 31 provinces from 1990 to 2019. RESULTS: Age-standardised incidence, prevalence, death and DALY rates of RTIs decreased by 31.7% (95% uncertainty interval (UI): 29.4 to 33.9), 34.9% (33.8 to 36.0), 57.7% (48.1 to 62.3) and 60.1% (51.7 to 65.2), respectively between 1990 and 2019. The 2019 age-standardised DALY rates varied from smallest value in Tehran 303.8 (216.9 to 667.2) per 100 000 to largest value in Sistan-Baluchistan 2286.8 (1978.1 to 2627.9) per 100 000. The burden of RTIs was mainly related to injuries sustained by drivers or passengers of motorised vehicles with three or more wheels and pedestrians' injuries, mostly affected males aged 15-29 years and individuals aged ≥70 years. CONCLUSION: The reducing trend in the burden of RTIs in Iran possibly reflects the effectiveness of the intervention programmes. However, with regard to the Sustainable Development Goals the burden is still at an alarming level. Further reductions are necessary for specific road user groups such as adolescent and adult male drivers or passengers of motorised vehicles, also pedestrians aged ≥70 years.

Association between brain-derived neurotrophic factor levels and obstructive sleep apnea: a systematic review and meta-analysis.

PURPOSE: Chronic intermittent hypoxia associated with obstructive sleep apnea (OSA) can affect neurons and glial cells, leading to cell stress and damage, and changes in brain-derived neurotrophic factor (BDNF) levels. This study investigated the relation between BDNF, OSA, and continuous positive airway pressure (CPAP) - the standard of care in patients with OSA. METHODS: Five databases were searched for studies that evaluated BDNF serum and/or plasma levels in patients with OSA and controls or publications assessing the effect of CPAP treatment on BDNF levels. We used standardized mean difference (SMD) with its 95% confidence interval (CI) comparison between patients with OSA and controls. RESULTS: Ten studies were included in our study assessing the relation between BDNF levels, OSA, and CPAP treatment. Five studies of BDNF levels in OSA compared to controls showed no significant difference (SMD = - 0.52, 95% CI [- 1.93; 0.89], p-value = 0.47). No statistically significant difference was found between CPAP treatment in patients with OSA and BDNF levels (SMD = - 0.78, 95% CI [- 1.77; 0.21], p-value = 0.12). CONCLUSION: BDNF peripheral levels are not significantly altered in OSA or by its related treatment, preventing its use as a biomarker.

The burden of childhood and adolescent cancers in North Africa and the Middle East (NAME) region: findings from the Global Burden of Disease study 2019.

INTRODUCTION: Despite the significant burden of childhood and adolescent cancers, no specific studies recently discussed the burden of cancer in this group in the North Africa and the Middle East (NAME) region. Therefore, we aimed to study the burden of cancers in this group in this region. MATERIALS AND METHODS: We retrieved the Global Burden of Disease (GBD) data for children and adolescent cancers (0-19 years old) in the NAME region from 1990 to 2019. 21 types of neoplasms were grouped as "neoplasms", comprising 19 specific cancer groups as well as "other malignant neoplasms" and "other neoplasms". Three significant parameters of incidence, deaths, and Disability-Adjusted Life Years (DALYs) were studied. The data are presented with 95% uncertainty intervals (UI), and reported rates per 100,000. RESULTS: In 2019, almost 6 million (95% UI: 4.166 M-8.405 M) new cases and 11,560(9770-13,578) deaths due to neoplasms occurred in the NAME region. Incidence was higher in females (3.4 M), while deaths (6226 of overall 11,560) and DALYs (501,118 of overall 933,885) were estimated as higher in males. Incidence rates did not significantly change since 1990, while deaths and DALYs rates declined significantly. After excluding "other malignant neoplasms" and "other neoplasms", leukemia was responsible for the highest number of incidence and deaths (incidence: 10,629(8237-13,081), deaths: 4053(3135-5013), followed by brain and central nervous system cancers (incidence: 5897(4192-7134), deaths: 2446(1761-2960)), and non-Hodgkin lymphoma (incidence: 2741 (2237-3392), deaths: 790(645-962)). Incidence rates of neoplasms were similar for most countries, but countries varied more in terms of death rates. Afghanistan 8.9(6.5-11.9), Sudan 6.4(4.5-8.6), and the Syrian Arab Republic 5.6(4.3-8.3) had the highest overall death rates. CONCLUSION: The NAME region is observing relatively constant incidence rates and a decreasing pattern in the deaths and DALYs. Despite this success, several countries are lagging behind in development. Different issues such as economic problems, armed conflicts and political instabilities, lack of equipment or experienced staff or poor distribution, stigmatization and disbelief in the healthcare systems account for unfavorable numbers in some countries. Such problems require urgent solutions as new sophisticated and personalized cares raise the alarm for even more inequalities between high and low-income countries.

The Epidemiology of Brain and Spinal Cord Tumors.

CNS tumors are a diverse group of neoplasms that emerge from a variety of different CNS cell types. These tumors may be benign, malignant, or borderline in nature. The majority of high grade glial tumors are fatal, with the exception of pilocytic astrocytoma. Primary malignant CNS tumors occur at a global annual rate of 2.1 to 5.8 per 100,000 persons. Males are more likely to develop malignant brain tumors than females, whereas benign meningiomas are more common in adult females. Additionally, gender inequalities in non-malignant tumors peak between the ages of 25 and 29 years. Only a small number of genetic variants have been associated with survival and prognosis. Notably, central nervous system (CNS) tumors exhibit significant age, gender, and race variation. Race is another factor that affects the incidence of brain and spinal cord tumors. Different races exhibit variation in terms of the prevalence of brain and CNS malignancies. This chapter discusses ongoing research on brain and spinal cord tumor epidemiology, as well as the associated risks and accompanied disorders.

Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis.

BACKGROUND: Alzheimer's disease (AD) is a debilitating neurodegenerative disease. Early diagnosis of AD and its precursor, mild cognitive impairment (MCI), is crucial for timely intervention and management. Radiomics involves extracting quantitative features from medical images and analyzing them using advanced computational algorithms. These characteristics have the potential to serve as biomarkers for disease classification, treatment response prediction, and patient stratification. Of note, Magnetic resonance imaging (MRI) radiomics showed a promising result for diagnosing and classifying AD, and MCI from normal subjects. Thus, we aimed to systematically evaluate the diagnostic performance of the MRI radiomics for this task. METHODS AND MATERIALS: A comprehensive search of the current literature was conducted using relevant keywords in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases from inception to August 5, 2023. Original studies discussing the diagnostic performance of MRI radiomics for the classification of AD, MCI, and normal subjects were included. Method quality was evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Radiomics Quality Score (RQS) tools. RESULTS: We identified 13 studies that met the inclusion criteria, involving a total of 5448 participants. The overall quality of the included studies was moderate to high. The pooled sensitivity and specificity of MRI radiomics for differentiating AD from normal subjects were 0.92 (95% CI [0.85; 0.96]) and 0.91 (95% CI [0.85; 0.95]), respectively. The pooled sensitivity and specificity of MRI radiomics for differentiating MCI from normal subjects were 0.74 (95% CI [0.60; 0.85]) and 0.79 (95% CI [0.70; 0.86]), respectively. Also, the pooled sensitivity and specificity of MRI radiomics for differentiating AD from MCI were 0.73 (95% CI [0.64; 0.80]) and 0.79 (95% CI [0.64; 0.90]), respectively. CONCLUSION: MRI radiomics has promising diagnostic performance in differentiating AD, MCI, and normal subjects. It can potentially serve as a non-invasive and reliable tool for early diagnosis and classification of AD and MCI.

The burden of chronic respiratory disease and attributable risk factors in North Africa and Middle East: findings from global burden of disease study (GBD) 2019.

BACKGROUND: North Africa and Middle East (NAME) has an increasing burden of chronic respiratory diseases (CRDs); however, a systematic understanding of the distribution and trends is not available. We aimed to report the trends of CRDs and attributable risk factors in this region between 1990 and 2019. METHODS: Using data from the Global Burden of Diseases Study (GBD) 2019, cause specific mortality served as the basis for estimating incidence and disability-adjusted life years (DALYs). The burden attributable to risk factors was calculated by a comparative risk assessment and contribution of population ageing and growth was determined by decomposition analysis. RESULTS: The number of deaths due to CRD in 2019 were 128,513 (110,781 to 114,351). In 2019, the age-standardized incidence rate (ASIR) of CRDs was 1052.8 (924.3 to 1209.4) per 100,000 population and had a 10.3% increase and the age-standardized death rate (ASDR) was 36.1 (30.9 to 40.3) with a 32.9% decrease compared to 1990. In 2019, United Arab Emirates had the highest ASIR (1412.7 [1237.3 to 1622.2]) and Afghanistan had the highest ASDR (67.8 [52.0 to 81.3]). CRDs were responsible for 2.91% of total DALYs in 2019 (1.69% due to chronic obstructive pulmonary disease [COPD] and 1.02% due to asthma). With regard to the components of DALYs, the age-standardized rate of years of life lost (YLL) had a - 39.0% (- 47.1 to - 30.3) decrease; while the age-standardized rate of years lived with disability (YLD) had a 13.4% (9.5 to 17.7) increase. Of total ASDRs of CRDs, 31.6% were attributable to smoking and 14.4% to ambient particulate matter pollution. CONCLUSION: CRDs remain a leading cause of death and disability in NAME, with growth in absolute numbers. COPD and asthma were the most common CRDs and smoking was the leading risk factor especially in men. More attention is needed in order to reduce CRDs' burden through appropriate interventions and policies.

Cerebellar Microstructural Abnormalities in Parkinson's Disease: a Systematic Review of Diffusion Tensor Imaging Studies.

Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the neural fibers of the CNS. This technique can study white matter (WM) microstructure in neurodegenerative disorders, including Parkinson's disease (PD). Previous neuroimaging studies have suggested cerebellar involvement in the pathogenesis of PD, and these cerebellum alterations can correlate with PD symptoms and stages. Using the PRISMA 2020 framework, PubMed and EMBASE were searched to retrieve relevant articles. Our search revealed 472 articles. After screening titles and abstracts, and full-text review, and implementing the inclusion criteria, 68 papers were selected for synthesis. Reviewing the selected studies revealed that the patterns of reduction in cerebellum WM integrity, assessed by fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity measures can differ symptoms and stages of PD. Cerebellar diffusion tensor imaging (DTI) changes in PD patients with "postural instability and gait difficulty" are significantly different from "tremor dominant" PD patients. Freezing of the gate is strongly related to cerebellar involvement depicted by DTI. The "reduced cognition," "visual disturbances," "sleep disorders," "depression," and "olfactory dysfunction" are not related to cerebellum microstructural changes on DTI, while "impulsive-compulsive behavior" can be linked to cerebellar WM alteration. Finally, higher PD stages and longer disease duration are associated with cerebellum white matter alteration depicted by DTI. Depiction of cerebellar white matter involvement in PD is feasible by DTI. There is an association with disease duration and severity and several clinical presentations with DTI findings. This clinical-imaging association may eventually improve disease management.

Epidemiology of Traumatic Spinal Cord Injury in Developing Countries from 2009 to 2020: A Systematic Review and Meta-Analysis.

INTRODUCTION: Traumatic spinal cord injury (TSCI) is a catastrophic event with a considerable health and economic burden on individuals and countries. This study was performed to update an earlier systematic review and meta-analysis of epidemiological properties of TSCI in developing countries published in 2013. METHODS: Various search methods including online searching in database of EMBASE and PubMed, and hand searching were performed (2012 to May 2020). The keywords "Spinal cord injury," "epidemiology," "incidence," and "prevalence" were used. Based on the definition of developing countries by the International Monetary Fund, studies related to developing countries were included. Data selection was according to PRISMA guidelines. The quality of included studies was evaluated by Joanna Briggs Institute Critical Appraisal Tools. Results of meta-analysis were presented as pooled frequency, and forest, funnel, and drapery plots. RESULTS: We identified 47 studies from 23 developing countries. The pooled incidence of TSCI in developing countries was 22.55/million/year (95% CI: 13.52; 37.62/million/year). Males comprised 80.09% (95% CI: 78.29%; 81.83%) of TSCIs, and under 30 years patients were the most affected age group. Two leading etiologies of TSCIs were motor vehicle crashes (43.18% [95% CI: 37.80%; 48.63%]) and falls (34.24% [95% CI: 29.08%; 39.59%], respectively). The difference among the frequency of complete injury (49.47% [95% CI: 43.11%; 55.84%]) and incomplete injury (50.53% [95% CI: 44.16%; 56.89%]) was insignificant. The difference among frequency of tetraplegia (46.25% [95% CI: 37.78%; 54.83%]) and paraplegia (53.75% [95% CI: 45.17%; 62.22%]) was not statistically significant. The most prevalent level of TSCI was cervical injury (43.42% [95% CI: 37.38%; 49.55%]). CONCLUSION: In developing countries, TSCIs are more common in young adults and males. Motor vehicle crashes and falls are the main etiologies. Understanding epidemiological characteristics of TSCIs could lead to implant-appropriate cost-effective preventive strategies to decrease TSCI incidence and burden.

Seroconversion following the first, second, and third dose of SARS-CoV-2 vaccines in immunocompromised population: a systematic review and meta-analysis.

BACKGROUND: Immunocompromised (IC) patients are at higher risk of more severe COVID-19 infections than the general population. Special considerations should be dedicated to such patients. We aimed to investigate the efficacy of COVID-19 vaccines based on the vaccine type and etiology as well as the necessity of booster dose in this high-risk population. MATERIALS AND METHODS: We searched PubMed, Web of Science, and Scopus databases for observational studies published between June 1st, 2020, and September 1st, 2021, which investigated the seroconversion after COVID-19 vaccine administration in adult patients with IC conditions. For investigation of sources of heterogeneity, subgroup analysis and sensitivity analysis were conducted. Statistical analysis was performed using R software. RESULTS: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 81 articles in the meta-analysis. The overall crude prevalence of seroconversion after the first (n: 7460), second (n: 13,181), and third (n: 909, all population were transplant patients with mRNA vaccine administration) dose administration was 26.17% (95% CI 19.01%, 33.99%, I2 = 97.1%), 57.11% (95% CI: 49.22%, 64.83%, I2 = 98.4%), and 48.65% (95% CI: 34.63%, 62.79%, I2 = 94.4%). Despite the relatively same immunogenicity of mRNA and vector-based vaccines after the first dose, the mRNA vaccines induced higher immunity after the second dose. Regarding the etiologic factor, transplant patients were less likely to develop immunity after both first and second dose rather than patients with malignancy (17.0% vs 37.0% after first dose, P = 0.02; 38.3% vs 72.1% after second dose, P < 0.001) or autoimmune disease (17.0% vs 36.4%, P = 0.04; 38.3% vs 80.2%, P < 0.001). To evaluate the efficacy of the third dose, we observed an increasing trend in transplant patients after the first (17.0%), second (38.3%), and third (48.6%) dose. CONCLUSION: The rising pattern of seroconversion after boosting tends to be promising. In this case, more attention should be devoted to transplant patients who possess the lowest response rate.

Burden of stroke in North Africa and Middle East, 1990 to 2019: a systematic analysis for the global burden of disease study 2019.

BACKGROUND: While several studies investigated the epidemiology and burden of stroke in the North Africa and Middle East region, no study has comprehensively evaluated the age-standardized attributable burden to all stroke subtypes and their risk factors yet. OBJECTIVE: The aim of the present study is to explore the regional distribution of the burden of stroke, including ischemic stroke, subarachnoid hemorrhage, and intracerebral hemorrhage, and the attributable burden to its risk factors in 2019 among the 21 countries of North Africa and Middle East super-region. METHODS: The data of the Global Burden of Disease Study (GBD) 2019 on stroke incidence, prevalence, death, disability-adjusted life years (DALYs), years of life lost (YLLs), years lived with disability (YLDs) rates, and attributed deaths, DALYs, YLLs, and YLDs to stroke risk factors were used for the present study. RESULTS: The age-standardized deaths, DALYs, and YLLs rates were diminished statistically significant by 27.8, 32.0, and 35.1% from 1990 to 2019, respectively. Attributed deaths, DALYs, and YLLs to stroke risk factors, including high systolic blood pressure, high body-mass index, and high fasting plasma glucose shrank statistically significant by 24.9, 25.8, and 28.8%, respectively. CONCLUSION: While the age-standardized stroke burden has reduced during these 30 years, it is still a concerning issue due to its increased burden in all-age numbers. Well-developed primary prevention, timely diagnosis and management of the stroke and its risk factors might be appreciated for further decreasing the burden of stroke and its risk factors and reaching Sustainable Development Goal 3.4 target for reducing premature mortality from non-communicable diseases.

A systematic review and meta-analysis of the epidemiological characteristics of COVID-19 in children.

BACKGROUND: Several individual studies from specific countries have reported rising numbers of pediatric COVID-19 cases with inconsistent reports on the clinical symptoms including respiratory and gastrointestinal symptoms as well as diverse reports on the mean age and household exposure in children. The epidemiological characteristics of COVID-19 in children are not fully understood, hence, comprehensive meta-analyses are needed to provide a better understanding of these characteristics. METHODS: This review was conducted in Medline, Scopus, Cochrane library, Embase, Web of Science, and published reports on COVID-19 in children. Data were extracted by two independent researchers and a third researcher resolved disputes. STATA software and the random-effect model were used in the synthesis of our data. For each model, the heterogeneity between studies was estimated using the Q Cochrane test. Heterogeneity and publication bias were calculated using the I2 statistic and Egger's/Begg's tests. RESULTS: The qualitative systematic review was performed on 32 articles. Furthermore, the meta-analysis estimated an overall rate of involvement at 12% (95% CI: 9-15%) among children, with an I2 of 98.36%. The proportion of household exposure was calculated to be 50.99% (95% CI: 20.80%-80.80%) and the proportion of admitted cases was calculated to be 45% (95% CI: 24%-67%). Additionally, the prevalence of cough, fatigue, fever and dyspnea was calculated to be 25% (95% CI: 0.16-0.36), 9% (95% CI: 0.03-0.18), 33% (95% CI: 0.21-0.47) and 9% (95% CI: 0.04-0.15), respectively. It is estimated that 4% (95% CI: 1-8%) of cases required intensive care unit admission. CONCLUSIONS: The pediatric clinical picture of COVID-19 is not simply a classic respiratory infection, but unusual presentations have been reported. Given the high incidence of household transmission and atypical clinical presentation in children, we strongly recommend their inclusion in research and population-based preventive measures like vaccination as well as clinical trials to ensure efficacy, safety, and tolerability in this age group.