bluuebunny/crossref_metadata_2025_split huggingface dataset:
A fatal case of acute encephalopathy in a child due to coxsackievirus A2 infection: a case report
Authors: Nagai Tomonori , Hanaoka Nozomu , Katano Harutaka , Konagaya Masami , Tanaka-Taya Keiko , Shimizu Hiroyuki , Mukai Toshiji , Fujimoto Tsuguto 
Published: November 2021

Abstract
Background
Certain types of enteroviruses, including coxsackieviruses, cause encephalitis, and other neurological complications. However, these pathogens rarely cause fatal infections, especially in immunocompetent infants. In this study, we present a rare case of acute encephalopathy caused by coxsackievirus A2 (CV-A2), which progressed rapidly in a previously healthy female child.

Case presentation
In June 2013, a 26-month-old female child from Kanagawa, Japan, was found unresponsive during sleep. She was healthy until that morning. Her temperature was 37 °C at 08:00. She was feeling fine and went to the nursery that same morning. However, her condition worsened around noon. Therefore, she went home and slept at around 13:00. Surprisingly, after 2 h, her parents checked on her and found that she was lying on her back and was not breathing. Hence, she was immediately taken to a hospital by ambulance, but she was declared dead on arrival at the hospital. Subsequently, pathological autopsy and pathogenetic analysis, including multiple pathogen detection real-time PCR, were conducted to investigate the cause of death. The examination results revealed that she had an infectious respiratory disease and acute encephalopathy due to a CV-A2 infection.

Conclusions
Based on our findings, we concluded that a previously healthy girl who had no immediate history of underlying medical condition were susceptible to death by acute encephalopathy due to CV-A2 infections. We proposed this conclusion because the patient’s condition progressed rapidly in less than 2 h and eventually led to her death. This is the first report on an acute encephalitis-dependent death in a child due to CV-A2 infection.
Depression, anxiety, PTSD, and OCD after stillbirth: a systematic review
Authors: Westby Cèline Lossius , Erlandsen Andrea Røsberg , Nilsen Sondre Aasen , Visted Endre , Thimm Jens C. 
Published: November 2021

Abstract
Background
This systematic review aimed to provide an updated summary of studies investigating depression, anxiety, post-traumatic stress disorder (PTSD), and obsessive-compulsive disorder (OCD) in parents after stillbirth (from 20 weeks gestational age until birth).

Methods
A literature search was conducted in the databases Web of Science and PsychINFO. Main inclusion criteria were 1) peer-reviewed, quantitative, English-language articles published from 1980; (2) studies investigating depression, anxiety, PTSD, or OCD among parents following stillbirth; and (3) studies defining stillbirth as equal to or after 20 weeks of gestation.

Results
Thirteen quantitative, peer-reviewed articles were eligible for inclusion. Selected articles investigated depression, anxiety, and PTSD, while no studies on OCD met our inclusion criteria. The majority of studies investigated women, while only two studies included men. The results indicated heightened short- and long-term levels of depression, anxiety, and PTSD in parents after stillbirth compared to those of parents with live birth. Studies investigating predictors found that social support, marital status, negative appraisals, and variables related to care and management after stillbirth affected levels of symptoms.

Conclusions
Parents who experience stillbirth have a considerably higher risk of reporting symptoms of depression, anxiety, and PTSD compared with parents with live births. More longitudinal studies are needed to increase our knowledge of how symptoms develop over time, and more research on fathers, transgender, non-binary and gender fluid individuals is needed. Research on the association between stillbirth and OCD is also warranted. Knowledge of the severity of anxiety, depression, and PTSD after stillbirth, and predictors associated with symptom severity could provide healthcare professionals with valuable information on how to provide beneficial postpartum care.
Mapping the EORTC QLQ-C30 to EQ-5D-3L in patients with breast cancer
Authors: Gray Laura A. , Hernandez Alava Monica , Wailoo Allan J. 
Published: November 2021

Abstract
Background
The types of outcomes measured collected in clinical studies and those required for cost-effectiveness analysis often differ. Decision makers routinely use quality adjusted life years (QALYs) to compare the benefits and costs of treatments across different diseases and treatments using a common metric. QALYs can be calculated using preference-based measures (PBMs) such as EQ-5D-3L, but clinical studies often focus on objective clinician or laboratory measured outcomes and non-preference-based patient outcomes, such as QLQ-C30. We model the relationship between the generic, preference-based EQ-5D-3L and the cancer specific quality of life questionnaire, QLQ-C30 in patients with breast cancer. This will result in a mapping that allows users to convert QLQ-C30 scores into EQ-5D-3L scores for the purposes of cost-effectiveness analysis or economic evaluation.

Methods
We use data from a randomized trial of 602 patients with HER2-positive advanced breast cancer provided 3766 EQ-5D-3L observations. Direct mapping using adjusted, limited dependent variable mixture models (ALDVMM) is compared to a random effects linear regression and indirect mapping using seemingly unrelated ordered probit models. EQ-5D-3L was estimated as a function of the summary scales of the QLQ-C30 and other patient characteristics.

Results
A four component mixture model outperformed other models in terms of summary fit statistics. A close fit to the observed data was observed across the range of disease severity. Simulated data from the model closely aligned to the original data and showed that mapping did not significantly underestimate uncertainty. In the simulated data, 22.15% were equal to 1 compared to 21.93% in the original data. Variance was 0.0628 in the simulated data versus 0.0693 in the original data. The preferred mapping is provided in Excel and Stata files for the ease of users.

Conclusion
A four component adjusted mixture model provides reliable, non-biased estimates of EQ-5D-3L from the QLQ-C30, to link clinical studies to economic evaluation of health technologies for breast cancer. This work adds to a growing body of literature demonstrating the appropriateness of mixture model based approaches in mapping.
Study protocol of an open-label, single arm phase II trial investigating the efficacy, safety and quality of life of neoadjuvant chemotherapy with liposomal irinotecan combined with Oxaliplatin and 5-fluorouracil/Folinic acid followed by curative surgical resection in patients with hepatic Oligometastatic adenocarcinoma of the pancreas (HOLIPANC)
Authors: Gebauer Florian , Damanakis Alexander Ioannis , Popp Felix , Quaas Alexander , Kütting Fabian , Lutz Katrin , Held Swantje , Deuß Burkhard , Göser Tobias , Waldschmidt Dirk , Bruns Christiane 
Published: November 2021

Abstract
Background
According to current guidelines, treatment of patients with hepatic oligometastasis in pancreatic cancer is not reflected and systemic chemotherapy is recommended in those patients. Retrospective data suggest beneficial outcomes in patients with hepatic oligometastasis, though prospective data from clinical trials addressing this particular patient group is not available.

Methods
In this single arm, phase-2 trial, survival data from patients receiving neoadjuvant chemotherapy followed by R0/R1 resection will be compared to historic data from patients with oligometastatic adenocarcinoma of the pancreas.
The clinical trial will focus on a well-defined patient collective with metastatic load limited to the liver as target organ with a maximum of five metastases. The combination of liposomal irinotecan (nal-IRI), oxaliplatin (OX) and 5-fluouracil (5-FU)/folinic acid (FA) (nal-IRI + OX+ 5-FU/FA, NAPOX) was chosen as neoadjuvant chemotherapy; the choice was based on an ongoing clinical study in which NAPOX appeared manageable, with promising anti-tumor activity in first-line treatment of patients with metastatic pancreatic adenocarcinoma.
In total 150 patients will be enrolled for this trial with an aim of 55 patients receiving a complete macroscopic synchronous tumor and metastatic resection.

Discussion
This is the first clinical study to prospectively evaluate the value of multimodality therapy concepts in oligometastatic pancreatic cancer.

Trial registration numbers
EudraCT 2019–002734-37; NCT04617457.
Major disparities in COVID-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020
Authors: Cohen-Cline Hannah , Li Hsin-Fang , Gill Monique , Rodriguez Fatima , Hernandez-Boussard Tina , Wolberg Harry , Lippa Jacob , Vartanian Keri 
Published: November 2021

AbstractBackgroundThe COVID-19 pandemic has further exposed inequities in our society, demonstrated by disproportionate COVID-19 infection rate and mortality in communities of color and low-income communities. One key area of inequity that has yet to be explored is disparities based on preferred language.MethodsWe conducted a retrospective cohort study of 164,368 adults tested for COVID-19 in a large healthcare system across Washington, Oregon, and California from March – July 2020. Using electronic health records, we constructed multi-level models that estimated the odds of testing positive for COVID-19 by preferred language, adjusting for age, race/ethnicity, and social factors. We further investigated interaction between preferred language and both race/ethnicity and state. Analysis was performed from October–December 2020.ResultsThose whose preferred language was not English had higher odds of having a COVID-19 positive test (OR 3.07,p < 0.001); this association remained significant after adjusting for age, race/ethnicity, and social factors. We found significant interaction between language and race/ethnicity and language and state, but the odds of COVID-19 test positivity remained greater for those whose preferred language was not English compared to those whose preferred language was English within each race/ethnicity and state.ConclusionsPeople whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors – demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention.
COVID-19 vaccination acceptance among Syrian population: a nationwide cross-sectional study
Authors: Shibani Mosa , Alzabibi Mhd Amin , Mouhandes Abd El-Fattah , Alsuliman Tamim , Mouki Angie , Ismail Hlma , Alhayk Shahd , Rmman Ahmad Abdulateef , Mansour Marah , Marrawi Marah , Alhalabi Nawras , Habib Mhd Baraa , Albuni Mhd Kutaiba , Al-Moujahed Ahmad , Sawaf Bisher ,   Data Collection Group, Zahrawi Hanaa Wael , Bakdounes Anan Mhd tawfik , Alhouri Ahmad Nabil , Abdulal Nour Zuhir , Hawari Rama Adnan , Safiah Mhd Homam , Alazrak Sara Omar , Husein Rama Ahmad Alsayed , Alshaghel Mohammed Moutaz , Mayo Wafik , Aladna Abdallah , Mwaffak Abdulkader Hajjar , Maarrawi Shahd , Khalil Marah , Almahairi Lana , Mokresh Yaman , Younes Mouhammad Saleh 
Published: November 2021

Abstract
Background
Severe Acute Respiratory Syndrome Coronavirus 2 continues to spread globally and in the absence of an effective treatment, the vaccine remains the best hope for controlling this disease. In this study, we seek to find out the extent to which people in Syria accept the Corona vaccine and what are the factors that affect their decision.

Methods
This cross-sectional study was conducted in Syria during the period from January 3 to March 17, 2021. A structured self-administered questionnaire was distributed in two phases: The first phase included distributing the questionnaire as a Google Form on social media platforms. In the second phase, a paper version of the questionnaire was handed to patients, their companions, and workers in public hospitals. SPSS v.25 and R v.4.1.1 were used to analyze the data. Pearson Chi-square test and Logistic Regression were used to study the associations between categorical groups.

Results
Of 7531 respondents, 3505 (46.5%) were males and 4026 (53.5%) were females. 3124 (41.5%) were 18–24 years old. Healthcare workers were participants’ main sources of information (50.9%), followed by Social Media users (46.3%). 2790 (37%) of the participant are willing to be vaccinated, and 2334 (31%) were uncertain about it. Fear of possible side effects was the main reason for the reluctance to take the vaccine 1615 (62.4%), followed by mistrust of the vaccine formula 1522 (58.8%). 2218 (29.5%) participants think COVID-19 poses a major risk to them personally. Vaccination intention was significantly associated with gender, residence, financial status, educational level, and geographic origin.

Conclusion
This study showed very negatively important results. The study participants Vaccination acceptance rate is almost the lowest when compared to its peers. A Lot of efforts should be made to correct misinformation about the vaccine and answer all questions about it, especially with a health system that has been ravaged by war for 10 years.
Effect of community-based education on undergraduate nursing students’ skills: a systematic review
Authors: Zeydani Arezoo , Atashzadeh-Shoorideh Foroozan , Abdi Fatemeh , Hosseini Meimanat , Zohari-Anboohi Sima , Skerrett Victoria 
Published: November 2021

Abstract
Background
Community-based education, as an effective approach to strengthen nurses’ skills in response to society’s problems and needs has increased in nursing education programs. The aim of this study was to review the effect of community-based education on nursing students’ skills.

Methods
For this systematic review, ProQuest, EMBASE, Scopus, PubMed/ MEDLINE, Cochran Library, Web of Science, CINAHL and Google Scholar were searched up to February 2021. The methodological quality of the studies was assessed using the Mixed Methods Appraisal Tool (MMAT). Seventeen studies were included in this systematic review. Inclusion criteria included articles published in English and were original articles.

Results
In all studies, undergraduate nursing students’ skills were improved by participation in a community-based education program. Community-based education enhances professional skills, communication skills, self-confidence, knowledge and awareness, and critical thinking skills and teamwork skills in undergraduate nursing students.

Conclusions
Community-based education should be used as an effective and practical method of training capable nurses to meet the changing needs of society, to improve nurses ‘skills and empower them to address problems in society.
Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph
Authors: Nguyen Van Tinh , Le Thi Tu Kien , Nguyen Tran Quoc Vinh , Tran Dang Hung 
Published: November 2021

Abstract
Background
Developing efficient and successful computational methods to infer potential miRNA-disease associations is urgently needed and is attracting many computer scientists in recent years. The reason is that miRNAs are involved in many important biological processes and it is tremendously expensive and time-consuming to do biological experiments to verify miRNA-disease associations.

Methods
In this paper, we proposed a new method to infer miRNA-disease associations using collaborative filtering and resource allocation algorithms on a miRNA-disease-lncRNA tripartite graph. It combined the collaborative filtering algorithm in CFNBC model to solve the problem of imbalanced data and the method for association prediction established multiple types of known associations among multiple objects presented in TPGLDA model.

Results
The experimental results showed that our proposed method achieved a reliable performance with Area Under Roc Curve (AUC) and Area Under Precision-Recall Curve (AUPR) values of 0.9788 and 0.9373, respectively, under fivefold-cross-validation experiments. It outperformed than some other previous methods such as DCSMDA and TPGLDA. Furthermore, it demonstrated the ability to derive new associations between miRNAs and diseases among 8, 19 and 14 new associations out of top 40 predicted associations in case studies of Prostatic Neoplasms, Heart Failure, and Glioma diseases, respectively. All of these new predicted associations have been confirmed by recent literatures. Besides, it could discover new associations for new diseases (or miRNAs) without any known associations as demonstrated in the case study of Open-angle glaucoma disease.

Conclusion
With the reliable performance to infer new associations between miRNAs and diseases as well as to discover new associations for new diseases (or miRNAs) without any known associations, our proposed method can be considered as a powerful tool to infer miRNA-disease associations.
RNA m6A methylation regulators in ovarian cancer
Authors: Guo Jialu , Zheng Jianfeng , Zhang Huizhi , Tong Jinyi 
Published: November 2021

AbstractN6-methyladenosine (m6A) is the most abundant RNA modification of mammalian mRNAs and plays a vital role in many diseases, especially tumours. In recent years, m6A has become the topic of intense discussion in epigenetics. M6A modification is dynamically regulated by methyltransferases, demethylases and RNA-binding proteins. Ovarian cancer (OC) is a common but highly fatal malignancy in female. Increasing evidence shows that changes in m6A levels and the dysregulation of m6A regulators are associated with the occurrence, development or prognosis of OC. In this review, the latest studies on m6A and its regulators in OC have been summarized, and we focus on the key role of m6A modification in the development and progression of OC. Additionally, we also discuss the potential use of m6A modification and its regulators in the diagnosis and treatment of OC.
Afatinib combined with anlotinib in the treatment of lung adenocarcinoma patient with novel HER2 mutation: a case report and review of the literature
Authors: Xu Huanhuan , Liang Qi , Xu Xian , Tan Shanyue , Wang Sumeng , Liu Yiqian , Liu Lingxiang 
Published: November 2021

Abstract
Background
HER2 is a member of the ERBB family of receptor tyrosine kinases, and HER2 mutations occur in 1–4% of non-small cell lung cancer (NSCLC) as an oncogenic driver mutation. We found a rare mutation of HER2 p.Asp769Tyr in NSCLC.

Case presentation
We presented a case of a 68-year-old nonsmoking male patient with brain metastasis from lung adenocarcinoma harboring a rare mutation of HER2 p.Asp769Tyr. After multiple lines of treatment, he obtained a durable response (10 months) to afatinib and anlotinib.

Conclusion
We reported for the first time that afatinib and anlotinib have successfully treated lung adenocarcinoma with HER2 p.Asp769Tyr mutation. This finding can provide an insight into the optimal treatment of lung adenocarcinoma patients with novel mutations. Additionally, we summarized the efficacy of targeted therapy for HER2 mutant lung cancer in this article.
Identification of the regulatory role of lncRNA HCG18 in myasthenia gravis by integrated bioinformatics and experimental analyses
Authors: Li Shuang , Wang Xu , Wang Tianfeng , Zhang Huixue , Lu Xiaoyu , Liu Li , Li Lifang , Bo Chunrui , Kong Xiaotong , Xu Si , Ning Shangwei , Wang Jianjian , Wang Lihua 
Published: November 2021

Abstract
Background
Long non-coding RNAs (lncRNAs), functioning as competing endogenous RNAs (ceRNAs), have been reported to play important roles in the pathogenesis of autoimmune diseases. However, little is known about the regulatory roles of lncRNAs underlying the mechanism of myasthenia gravis (MG). The aim of the present study was to explore the roles of lncRNAs as ceRNAs associated with the progression of MG.

Methods
MG risk genes and miRNAs were obtained from public databases. Protein–protein interaction (PPI) network analysis and module analysis were performed. A lncRNA-mediated module-associated ceRNA (LMMAC) network, which integrated risk genes in modules, risk miRNAs and predicted lncRNAs, was constructed to systematically explore the regulatory roles of lncRNAs in MG. Through performing random walk with restart on the network, HCG18/miR-145-5p/CD28 ceRNA axis was found to play important roles in MG, potentially. The expression of HCG18 in MG patients was detected using RT-PCR. The effects of HCG18 knockdown on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry. The interactions among HCG18, miR-145-5p and CD28 were explored by luciferase assay, RT-PCR and western blot assay.

Results
Based on PPI network, we identified 9 modules. Functional enrichment analyses revealed these modules were enriched in immune-related signaling pathways. We then constructed LMMAC network, containing 25 genes, 50 miRNAs, and 64 lncRNAs. Through bioinformatics algorithm, we found lncRNA HCG18 as a ceRNA, might play important roles in MG. Further experiments indicated that HCG18 was overexpressed in MG patients and was a target of miR-145-5p. Functional assays illustrated that HCG18 suppressed Jurkat cell apoptosis and promoted cell proliferation. Mechanistically, knockdown of HCG18 inhibited the CD28 mRNA and protein expression levels in Jurkat cells, while miR-145-5p inhibitor blocked the reduction of CD28 expression induced by HCG18 suppression.

Conclusion
We have reported a novel HCG18/miR-145-5p/CD28 ceRNA axis in MG. Our findings will contribute to a deeper understanding of the molecular mechanism of and provide a novel potential therapeutic target for MG.
Quantification of dendritic cell subsets in human thymus tissues of various ages
Authors: Li Yan , Chen Pei , Huang Hao , Feng Huiyu , Ran Hao , Liu Weibin 
Published: November 2021

Abstract
Background
Dendritic cells (DCs) in the thymus are involved in central tolerance formation, but they also have other functions in the thymus, such as pathogen recognition. The density changes of human thymic DCs have been hardly investigated. In this study, human thymus samples of various ages were collected for tissue sectioning and staining. The thymic cortex and medulla area as well as the densities of various subsets of thymic DCs were calculated.

Results
All common DC subsets were found in the human thymus of various ages. Most DCs had accumulated in the human thymic epithelial space, especially the medulla. We also found that the human thymic cortex had atrophied relatively faster than the medulla, which led to a gradual increase of the area ratio of the medulla to cortex with the increase of age. The densities of DC subsets in the human thymus showed various changes with increasing age, which contributed to the composition changes of DC subsets. The density of plasmacytoid DCs (pDCs) in the human thymus had increased gradually with aging, which suggested that pDCs plays another essential role in the thymus in addition to central tolerance.

Conclusions
Inconsistent with the shrinking of the epithelial space in the thymus, the densities of DC subsets in the epithelial space of the thymus are maintained at a constant level with aging to preserve highly efficient autoreactive thymocyte screening. An increasing density of the thymic pDCs with aging implies an extra function of DCs in the thymus beyond central tolerance.