Medicine and Health Sciences Commons^™

Is The Job Performance Of Tourism Academicians Related To Their Emotional Intelligence?, Leyla Tokgöz, Zennube Işık, Mehmet Fatih Işık

Khazar Journal of Humanities and Social Sciences

The aim of the research is to determine whether the job performances of tourism academics in Türkiye are related to emotional intelligence. Further, this research is an endeavor to investigate whether emotional intelligence and job performance differ according to demographic variables. “Job Performance Scale” adapted by Yang and Hwang (2014) was used to measure the job performance of academicians. In addition to that “Rotterdam Emotional Intelligence Scale” developed by Pekaar, Bakker, Linden, and Born (2017) and adapted to Turkish by Tanrıöğen and Türker (2019) was used to measure their emotional intelligence. The research sample consists of academicians working in Tourism …

Magnetic Resonance Imaging Findings In Kenyans And South Africans With Active Convulsive Epilepsy: An Observational Study, Symon M. Kariuki, Ryan Wagner, Roxana Gunny, Felice D'Arco, Martha Kombe, Anthony Ngugi, Steven White, Rachel Odhiambo, Helen Cross, Josemir Sander

Population Health, East Africa

Objective: Focal epilepsy is common in low- and middle-income countries. The frequency and nature of possible underlying structural brain abnormalities have, however, not been fully assessed.

Methods: We evaluated the possible structural causes of epilepsy in 331 people with epilepsy (240 from Kenya and 91 from South Africa) identified from community surveys of active convulsive epilepsy. Magnetic resonance imaging (MRI) scans were acquired on 1.5-Tesla scanners to determine the frequency and nature of any underlying lesions. We estimated the prevalence of these abnormalities using Bayesian priors (from an earlier pilot study) and observed data (from this study). We used a …

Implementation Framework For Income Generating Activities Identified By Community Health Volunteers (Chvs): A Strategy To Reduce Attrition Rate In Kilifi County, Kenya., Roselyter Riang’A, Njeri Nyanja, Adelaide Lusambili, Eunice Muthoni, Cyprian Mostert, Anthony Ngugi, Joshua Ehrlich, Paul Clyde

Population Health, East Africa

Background; Despite the proven efficacy of Community Health Volunteers (CHVs) in promoting primary healthcare in low- and middle-income countries (LMICs), they are not adequately fnanced and compensated. The latter contributes to the challenge of high attrition rates observed in many settings, highlighting an urgent need for innovative compensation strategies for CHVs amid budget constraints experienced by healthcare systems. This study sought to identify strategies for implementing Income-Generating Activities (IGAs) for CHVs in Kilif County in Kenya to improve their livelihoods, increase motivation, and reduce attrition.

Methods; An exploratory qualitative research study design was used, which consisted of Focus group discussions …

Post-Mortem Investigation Of Deaths Due To Pneumonia In Children Aged 1–59 Months In Sub-Saharan Africa And South Asia From 2016 To 2022: An Observational Study., Sana Mahtab, Dianna Blau, Zachary Madewell, Ikechukwu Ogbuanu, Julius Ojulong, Sandra Lako, Hailemariam Legesse, Joseph Bangura, Quique Bassat, Gunturu Revathi

Pathology, East Africa

Background; The Child Health and Mortality Prevention Surveillance (CHAMPS) Network programme undertakes post-mortem minimally invasive tissue sampling (MITS), together with collection of ante-mortem clinical information, to investigate causes of childhood deaths across multiple countries. We aimed to evaluate the overall contribution of pneumonia in the causal pathway to death and the causative pathogens of fatal pneumonia in children aged 1–59 months enrolled in the CHAMPS Network.

Methods; In this observational study we analysed deaths occurring between Dec 16, 2016, and Dec 31, 2022, in the CHAMPS Network across six countries in sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and …

Predictors Of Occupational Distress Of Catholic Priests On The Eastern Seaboard Of The United States, Michael D. Kostick, Xihe Zhu, Justin A. Haegele, Pete Baker

Human Movement Studies & Special Education Faculty Publications

With ever-increasing demands placed upon active priests in the United States, insight into protecting their mental health may help strengthen vocational resilience for individual priests. The purpose of this study was to examine the association of individual variables, workplace characteristics, and physical activity participation with occupational distress levels among Catholic priests. A 22-question survey consisting of a demographic questionnaire, the Clergy Occupational Distress Index, and the International Physical Activity Questionnaire was employed to collect individual variables, workplace characteristics, physical activity participation, and occupational distress levels of Catholic priests from the Eastern seaboard of the United States. Regression analyses showed that …

The Associations Of Physical Activity And Sedentary Behavior With Self-Rated Health In Chinese Children And Adolescents, Yahan Liang, Youzhi Ke, Yang Liu

Human Movement Studies & Special Education Faculty Publications

Objective

The study aimed to analyze the independent and joint associations of physical activity (PA) and sedentary behavior (SB) with self-rated health (SRH) among Chinese children and adolescents.

Methods

Cross-sectional data on moderate-to-vigorous physical activity (MVPA), school-based PA, extracurricular physical activity (EPA), screen time (ST), homework time, and SRH were assessed through a self-report questionnaire in the sample of 4227 Chinese children and adolescents aged 13.04 ± 2.62 years. Binary logistic regression was used to compare gender differences in PA, SB, and SRH among children and adolescents, and analyses were adjusted for age and ethnicity.

Results

In independent associations, boys …

Teachers' Perception On Physical Activity Promotion In Kindergarten Children In China: A Qualitative Study Connecting Social Ecological Model, Yahan Liang, Fangyuan Ju, Yueran Hao, Jia Yang, Yang Liu

Human Movement Studies & Special Education Faculty Publications

Background

Globally, the majority of kindergarten-aged children face obesity issues and insufficient physical activity (PA) engagement. Regular PA participation can provide various health benefits, including obesity reduction, for kindergarten-aged children. However, limited studies have investigated the factors influencing kindergarten-aged children's PA engagement from the perspective of their teachers. This qualitative study aimed to identify factors that could help promote PA among kindergarten-aged children from teachers' perspectives, including facilitators, barriers, and teachers' recommendations.

Methods

Fifteen kindergarten teachers (age range: 28-50 years; mean age: 38.53 years) with teaching experience ranging from 2 to 31 years (mean: 16.27 years) were recruited from Shanghai …

Updates Of The Role Of B-Cells In Ischemic Stroke, Silin Wu, Sidra Tabassum, Cole T Payne, Heng Hu, Aaron M Gusdon, Huimahn A Choi, Xuefang S Ren

Faculty, Staff and Student Publications

Ischemic stroke is a major disease causing death and disability in the elderly and is one of the major diseases that seriously threaten human health and cause a great economic burden. In the early stage of ischemic stroke, neuronal structure is destroyed, resulting in death or damage, and the release of a variety of damage-associated pattern molecules induces an increase in neuroglial activation, peripheral immune response, and secretion of inflammatory mediators, which further exacerbates the damage to the blood-brain barrier, exacerbates cerebral edema, and microcirculatory impairment, triggering secondary brain injuries. After the acute phase of stroke, various immune cells initiate …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Engravings, Secrets, And Interpretability Of Neural Networks, Nathaniel Hobbs, Periklis A Papakonstantinou, Jaideep Vaidya

Faculty, Staff and Student Publications

This work proposes a definition and examines the problem of undetectably engraving special input/output information into a Neural Network (NN). Investigation of this problem is significant given the ubiquity of neural networks and society's reliance on their proper training and use. We systematically study this question and provide (1) definitions of security for secret engravings, (2) machine learning methods for the construction of an engraved network, (3) a threat model that is instantiated with state-of-the-art interpretability methods to devise distinguishers/attackers. In this work, there are two kinds of algorithms. First, the constructions of engravings through machine learning training methods. Second, …

Igamt: Privacy-Preserving Electronic Health Record Synthesization With Heterogeneity And Irregularity, Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong

Faculty, Staff and Student Publications

Utilizing electronic health records (EHR) for machine learning-driven clinical research has great potential to enhance outcome predictions and treatment personalization. Nonetheless, due to privacy and security concerns, the secondary use of EHR data is regulated, constraining researchers’ access to EHR data. Generating synthetic EHR data with deep learning methods is a viable and promising approach to mitigate privacy concerns, offering not only a supplementary resource for downstream applications but also sidestepping the privacy risks associated with real patient data. While prior efforts have concentrated on EHR data synthesis, significant challenges persist: addressing the heterogeneity of features including temporal and non-temporal …

Federated Node Classification Over Distributed Ego-Networks With Secure Contrastive Embedding Sharing, Han Xie, Li Xiong, Carl Yang

Faculty, Staff and Student Publications

Federated learning on graphs (a.k.a., federated graph learning- FGL) has recently received increasing attention due to its capacity to enable collaborative learning over distributed graph datasets without compromising local clients' data privacy. In previous works, clients of FGL typically represent institutes or organizations that possess sets of entire graphs (e.g., molecule graphs in biochemical research) or parts of a larger graph (e.g., sub-user networks of e-commerce platforms). However, another natural paradigm exists where clients act as remote devices retaining the graph structures of local neighborhoods centered around the device owners (i.e., ego-networks), which can be modeled for specific graph applications …

Bridging The Gap: Rademacher Complexity In Robust And Standard Generalization, Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

Training Deep Neural Networks (DNNs) with adversarial examples often results in poor generalization to test-time adversarial data. This paper investigates this issue, known as adversarially robust generalization, through the lens of Rademacher complexity. Building upon the studies by Khim and Loh (2018); Yin et al. (2019), numerous works have been dedicated to this problem, yet achieving a satisfactory bound remains an elusive goal. Existing works on DNNs either apply to a surrogate loss instead of the robust loss or yield bounds that are notably looser compared to their standard counterparts. In the latter case, the bounds have a …

Privacy-Preserving Fingerprinting Against Collusion And Correlation Threats In Genomic Data, Tianxi Ji, Erman Ayday, Emre Yilmaz, Pan Li

Faculty, Staff and Student Publications

Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables “do-it-yourself” calculations. Genomic databases involve intellectual efforts from the curator and sensitive information of participants, thus in the course of data sharing, the curator (database owner) should be able to prevent unauthorized redistributions and protect individuals’ genomic data privacy. As it becomes increasingly common for a single database be shared with multiple recipients, the shared genomic database should also be robust against collusion attack, where multiple malicious recipients combine their individual copies …

Fairness-Aware Estimation Of Graphical Models, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Faculty, Staff and Student Publications

This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in understanding complex relationships in high-dimensional data. However, standard GMs can result in biased outcomes, especially when the underlying data involves sensitive characteristics or protected groups. To address this, we introduce a comprehensive framework designed to reduce bias in the estimation of GMs related to protected attributes. Our approach involves the integration of the pairwise graph disparity error and a tailored loss function into a nonsmooth multi-objective optimization problem, striving to achieve fairness across …

Facilitating Clinical Information Extraction With Synthetic Data And Ontology Using Large Language Models, Yan Hu, Huan He, Qingyu Chen, Xiaoqian Jiang, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potential of large language models to generate synthetic data for clinical named entity recognition and examines its impact on model performance. We propose a novel framework that integrates self-verified synthetic data generation with domain-specific semantic mapping using SNOMED-CT. By leveraging GPT-4o-mini for synthetic data creation and refining its quality through iterative verification and anomaly detection, we systematically evaluate the influence of synthetic data quality and quantity on fine-tuning …

Narrative Feature Or Structured Feature? A Study Of Large Language Models To Identify Cancer Patients At Risk Of Heart Failure, Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu

Faculty, Staff and Student Publications

Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study examined machine learning (ML) models to identify cancer patients at risk of HF using electronic health records (EHRs), including traditional ML, Time-Aware long short-term memory (T-LSTM), and large language models (LLMs) using novel narrative features derived from the structured medical codes. We identified a cancer cohort of 12,806 patients from the University of Florida Health, diagnosed with lung, breast, and colorectal cancers, among which 1,602 individuals developed HF …

Descriptor: Synthetic Genomic Dataset With Diverse Ancestry (Syngen6), Xinyue Wang, Sitao Min, Jaideep Vaidya

Faculty, Staff and Student Publications

Advancements in genomic analysis techniques and data-driven research are driving precision medicine. However, in many cases, these advances are not equitable and do not help all subpopulations, since many existing genomic datasets lack diversity, limiting their applicability for studying populations beyond those of European ancestry. Thus, to advance genomic analysis and to allow for a fair benchmarking of novel proposed approaches, there is a significant demand for balanced and representative datasets. To address this issue, we developed,

Impact Of P53-Associated Acute Myeloid Leukemia Hallmarks On Metabolism And The Immune Environment, Monika Chomczyk, Luca Gazzola, Shubhankar Dash, Patryk Firmanty, Binsah S George, Vakul Mohanty, Hussein A Abbas, Natalia Baran

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML), an aggressive malignancy of hematopoietic stem cells, is characterized by the blockade of cell differentiation, uncontrolled proliferation, and cell expansion that impairs healthy hematopoiesis and results in pancytopenia and susceptibility to infections. Several genetic and chromosomal aberrations play a role in AML and influence patient outcomes. TP53 is a key tumor suppressor gene involved in a variety of cell features, such as cell-cycle regulation, genome stability, proliferation, differentiation, stem-cell homeostasis, apoptosis, metabolism, senescence, and the repair of DNA damage in response to cellular stress. In AML, TP53 alterations occur in 5%-12% of de novo AML …

Rural Racial Disparities And Barriers In Mammography Utilization Among Medicare Beneficiaries In Texas: A Longitudinal Study, Zhaoli Liu, Yong Shan, Yong-Fang Kuo, Sharon H Giordano

Faculty, Staff and Student Publications

This study examined rural racial/ethnic disparities in long-term mammography screening practices among Medicare beneficiaries. A retrospective longitudinal study was conducted using 100% Texas Medicare data for women aged 65-74 who enrolled in Medicare between 2010-2013. Of the 114,939 eligible women, 21.2% of Hispanics, 33.3% of non-Hispanic Blacks (NHB), and 38.4% non-Hispanic Whites (NHW) in rural areas were regular users of mammography, compared to 33.5%, 44.9%, and 45.3% of their counterparts in urban areas, respectively. Stratification analyses showed rural Hispanics and NHB were 33% (95% CI, 25% - 40%) and 22% (95% CI, 6% - 36%) less likely to be regular …

The Baseline Hemoglobin Level Is A Positive Biomarker For Immunotherapy Response And Can Improve The Predictability Of Tumor Mutation Burden For Immunotherapy Response In Cancer, Yin He, Tong Ren, Chengfei Ji, Li Zhao, Xiaosheng Wang

Faculty, Staff and Student Publications

Purpose: Because only a subset of cancer patients can benefit from immunotherapy, identifying predictive biomarkers of ICI therapy response is of utmost importance.

Methods: We analyzed the association between hemoglobin (HGB) levels and clinical outcomes in 1,479 ICIs-treated patients across 16 cancer types. We explored the dose-dependent associations between HGB levels and survival and immunotherapy response using the spline-based cox regression analysis. Furthermore, we investigated the associations across subgroups of patients with different clinicopathological characteristics, treatment programs and cancer types using the bootstrap resampling method.

Results: HGB levels correlated positively with clinical outcomes in cancer patients receiving immunotherapy but not …

A Brief But Comprehensive Three-Item Social Connectedness Screener For Use In Social Risk Assessment Tools, Nancy P Gordon, Matthiew C Stiefel

Faculty, Staff and Student Publications

BACKGROUND: The 2014 IOM report "Capturing Social and Behavioral Domains and Measures in Electronic Health Records" described three subdomains of social relationships that affect patient health and well-being. However, most social risk screeners currently assess only one subdomain, frequency of social connections. We are proposing a three-item Brief Social Connectedness (SC) screener that additionally assesses risks in social/emotional support and loneliness/social isolation subdomains.

METHODS: For this cross-sectional study, we used data from a 2021 Kaiser Permanente Northern California (KPNC) social risk survey for 2244 members ages 35-85 years. The survey included three validated questions that covered the SC subdomains (frequencies …

Failure To Mate Enhances Investment In Behaviors That May Promote Mating Reward And Impairs The Ability To Cope With Stressors Via A Subpopulation Of Neuropeptide F Receptor Neurons, Julia Ryvkin, Liora Omesi, Yong-Kyu Kim, Mali Levi, Hadar Pozeilov, Lital Barak-Buchris, Bella Agranovich, Ifat Abramovich, Eyal Gottlieb, Avi Jacob, Dick R Nässel, Ulrike Heberlein, Galit Shohat-Ophir

Faculty, Staff and Student Publications

Living in dynamic environments such as the social domain, where interaction with others determines the reproductive success of individuals, requires the ability to recognize opportunities to obtain natural rewards and cope with challenges that are associated with achieving them. As such, actions that promote survival and reproduction are reinforced by the brain reward system, whereas coping with the challenges associated with obtaining these rewards is mediated by stress-response pathways, the activation of which can impair health and shorten lifespan. While much research has been devoted to understanding mechanisms underlying the way by which natural rewards are processed by the reward …

The Feasibility Of Health Professional Student Delivered Social Visits For Stroke Survivors With Loneliness, Jason Burnett, Jordan Broussard, Bronson Ciavarra, Louisa Smitherman, Mary Li, Emma Thames, Sharon Zachariah, Grace Kim, Rachel Pijnnaken, Hannah Zeller, John Halphen, Sean I Savitz, Namkee Choi, Jennifer E S Beauchamp

Faculty, Staff and Student Publications

Objectives: To examine the feasibility of a social phone call program to address social isolation and loneliness in stroke survivors.

Materials and methods: We paired 14 lonely community-living stroke survivors with 14 health professional students for 6-weekly unstructured social phone calls. Feasibility data and measures of social isolation, loneliness and other psychosocial metrics were collected pre- and post-intervention. Students journaled following each unstructured call to capture the informal conversation and their sentiments.

Results: Sixty-two percent of the targeted sample was interested. Fourteen eligible and interested participants were enrolled. The 13 (93%) participants completing all calls and surveys were an average …

Double Hit In Clear-Cell Renal Cell Carcinoma With Germline Pathogenic Atm Mutation And Somatic Vhl Mutation, Kok Hoe Chan, Nicolas Duque Clavijo, Gustavo Ayala, Ryan Hall, Curtis Wray, Putao Cen

Faculty, Staff and Student Publications

While renal cell carcinoma (RCC) is often linked to smoking, obesity, and hypertension, hereditary forms also account for about 3% of RCC cases. Notably, NCCN guidelines identify 7 major hereditary syndromes associated with an increased RCC risk. Inherited mutations in DNA repair genes, such as ATM, BRCA, and TP53, significantly increase the risk of various cancers. Biallelic pathogenic mutations in ATM cause Ataxia-Telangiectasia (A-T) syndrome, while heterozygous germline pathogenic ATM mutations, present in about 1% of the population, also elevate cancer risk. RCC has not traditionally been associated with germline pathogenic ATM mutations, only limited retrospective analyses have identified such …

Epidemiology Of Invasive Candidiasis, Derek J Bays, Emily N Jenkins, Meghan Lyman, Tom Chiller, Nora Strong, Luis Ostrosky-Zeichner, Martin Hoenigl, Peter G Pappas, George R Thompson Iii

Faculty, Staff and Student Publications

Invasive candidiasis (IC) is an increasingly prevalent, costly, and potentially fatal infection brought on by the opportunistic yeast, Candida. Previously, IC has predominantly been caused by C. albicans which is often drug susceptible. There has been a global trend towards decreasing rates of infection secondary to C. albicans and a rise in non-albicans species with a corresponding increase in drug resistance creating treatment challenges. With advances in management of malignancies, there has also been an increase in the population at risk from IC along with a corresponding increase in incidence of breakthrough IC infections. Additionally, the emergence of …

Identifying Missing Is-A Relations In Snomed Ct With Fine-Tuned Pre-Trained Language Models And Non-Lattice Subgraphs, Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) to identify missing IS-A relations in SNOMED CT. We fine-tuned four BERT-based models: BERT, DistillBERT, DeBERTa, and BioClinicalBERT, and four generative large language models (LLMs): BioMistral, Llama3, Gemma2, and Phi-4. Missing IS-A relations were identified through consensus predictions by all eight models. De-BERTa achieved the best performance (precision: 0.96, recall: 0.97, F1-score: 0.965) for IS-A relation prediction. Our approach identified 678 potential missing IS-A relations in …

Relational Database-Based Resource-Provenance Visualization Engine: With An Application To Bican Data, Xiaojin Li, Yan Huang, Lydia Ng, Kimberly A Smith, Wei-Chun Chou, Rashmie Abeysinghe, Ling Tong, Shiwe Lin, Licong Cui, Shiqiang Tao, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with regulatory standards, such as GDPR. Traditional log-based and ontology-based approaches capture and standardize data lineage, while cryptographic and blockchain-based methods enhance security and verifiability. However, challenges remain in scalability, security, and usability. To address these, we introduce the Resource-Provenance Visualization Engine (RPVE), an advanced system integrating data lineage tracking and interactive visualization. RPVE employs the Randomized N-gram Hashing Identifier (NHash ID) to establish precise data links within the BRAIN …

An Interactive Information Visualization System For Temporal Queries In A Large-Scale Covid-19 Ehr Dataset (Covid-Sphere): Development And Qualitative Evaluation, Yan Huang, Shiqiang Tao, Wei-Chun Chou, Licong Cui, Guo-Qiang Zhang, Xiaojin Li

Faculty, Staff and Student Publications

COVID-SPHERE is a self-service web application designed to advance clinical research informatics by facilitating secondary use of Electronic Health Records (EHR) for COVID-19 research. The system employs a flexible EHR concept framework that defines hierarchical concepts and ontologies, enabling clinical researchers to build complex temporal queries through an intuitive, single-click interface without requiring database expertise. Our method dynamically generates MongoDB queries in real-time and offers interactive, faceted visualizations to analyze longitudinal patient activities and integrated health records, supporting both individual patient analysis and population-level research. Hosted on a server managing over 5 TB of data encompassing 30 billion health records …

Diagnostic Value Of Soluble Interleukin-2 Receptor In Patients Suffering Neurosarcoidosis: A Systematic Review, Aditya Chanpura, Rajesh K Gupta, Shitiz K Sriwastava, Jan Rahmig

Faculty, Staff and Student Publications

Background: Neurosarcoidosis is an inflammatory granulomatous disease. Up to 25% of occult sarcoidosis affecting the nervous system are only detected by autopsy. In addition, in recent years the suspicion arose that the soluble Interleukin-2 Receptor (sIL-2R) might be useful in differentiating between neurosarcoidosis and neurosarcoidosis-like diseases such as neurotuberculosis, multiple sclerosis, or cerebral lymphoma.

Objectives: Therefore, we aimed to systematically review randomized controlled trials (RCT), observational studies, and case-control studies evaluating sIL-2R levels in neurosarcoidosis patients.

Design: For this systematic review, a comprehensive literature search of electronic databases including EMBASE, The Web Of Science, The Cochrane Library, MEDLINE, and Google …