bluuebunny/crossref_metadata_2025_split huggingface dataset:
Boundarylessness and sleep quality among virtual team members – a cross-sectional study from Germany
Authors: Rohwer Elisabeth , Kordsmeyer Ann-Christin , Harth Volker , Mache Stefanie 
Published: April 2020

Abstract
Background
In the course of globalisation and digitalisation, new ways of work become increasingly prevalent. To remain competitive as an organisation, cooperation across time, place, and organisational boundaries becomes necessary. Virtual teamwork offers these advantages, but can also be both, an opportunity and a burden, for employees. The aim of this study is to gain first insights into job demands and resources in virtual teamwork to create a basis for deducing appropriate health promotion and prevention measures.
Methods
In this cross-sectional study, an online questionnaire was used to examine the relationship between boundarylessness as a job demand, psychological detachment as a personal resource, as well as perceived stress and sleep quality as health outcomes among 46 employees in virtual teamwork in Germany. Data collection lasted from October 2019 to January 2020. Validated scales were used for the questionnaire, except for virtuality. Due to insufficient operationalisation to date, a virtuality scale was developed based on the current state of research. The data were analysed with multiple regression analyses.
Results
The results show that virtuality and perceived stress impaired sleep quality of virtual team members in this sample. In contrast, successful psychological detachment from work was positively related to sleep quality. There were no significant results for boundarylessness. Virtual team members with managerial responsibility showed higher levels of psychological detachment.
Conclusion
The study provides first insights in the relationship between virtual teamwork and employee health in the German context. Further research, particularly on job demands in virtual teamwork, is needed to derive concrete health promotion and prevention measures.
Differentially expressed genes SNRPC and PRPF38A are potential biomarkers candidates for osteosarcoma
Authors: Chang Sheng , Cao Yang 
Published: April 2020

Abstract
Background: Osteosarcoma (osteogenic sarcoma, OS) is a primary cause of morbidity and mortality and is associated with poor prognosis in the field of orthopedic. Globally, rates of OS are highest among 15 to 25-year-old adolescent. However, the mechanism of gene regulation and signaling pathway is unknown. Material and Methods: GSE9508, including 34 OS samples and 5 non-malignant bone samples, was gained from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were picked out by GEO2R online R soft tool. Furthermore, the protein-protein interaction (PPI) network between the DEGs was molded utilizing STRING online software. Afterward, PPI network of DEGs was constructed. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were carried out on DAVID online tool and visualized via cytoscape software. Subsequently, module analysis of PPI was performed by using MCODE app. What’s more, prognosis-related genes were screened by using online databases including GEPIA, UALCAN and cBioPortal databases. Results: Totally, 671 DEGs were picked out, including 501 up-regulated genes and 170 down-regulated genes. Moreover, 22 hub genes were identified to be significantly expressed in PPI network (16 up-regulated and 6 down-regulated). We found that spliceosome signaling pathway may provide a potential target in OS. Furthermore, on the basis of common crucial pathway, PRPF38A and SNRPC were closely associated with spliceosome. Conclusion: This study showed that SNRPC and PRPF38A are potential biomarkers candidates for osteosarcoma.
Establishment of an integrated model for predicting survival and guiding treatment in local recurrence nasopharyngeal carcinoma
Authors: Xie Hao-Jun , Sun Xue-Song , Jia Guo-Dong , Sun Rui , Luo Dong-Hua , Liu Li-Ting , Guo Shan-Shan , Liu Sai-Lan , Tang Lin-Quan , Chen Qiu-Yan , Mai Hai-Qiang 
Published: April 2020

Abstract
Objective:In this study, we aimed to establish an integrated prognostic model for local recurrence nasopharyngeal carcinoma (lrNPC) patients, and evaluate the benefit of re-radiotherapy (RT) in patients with different risk levels.Materials and methods:In total, 271 patients with lrNPC were retrospectively reviewed in this study. Overall survival (OS) was the primary endpoint. Multivariate analysis was performed to select the significant prognostic factors (P<0.05). A prognostic model for OS was derived by recursive partitioning analysis (RPA) combining independent predictors using the algorithm of optimized binary partition.Results:Three independent prognostic factors (age, relapsed T [rT] stage, and Epstein-Barr virus [EBV] DNA) were identified from multivariable analysis. Five prognostic groups were derived from an RPA model that combined rT stage and EBV DNA. After further pair-wise comparisons of survival outcome in each group, three risk groups were generated. We investigated the role of re-RT in different risk groups, and found that re-RT could benefit patients in the low (P<0.001) and intermediate-risk subgroups (P=0.017), while no association between re-RT and survival benefit was found in the high-risk subgroup (P=0.328).Conclusion:Age, rT stage and EBV DNA were identified as independent predictors for lrNPC. We established an integrated RPA-based prognostic model for OS incorporating rT stage and EBV DNA, which could guide individual treatment for lrNPC.
Peripheral cytokine levels as predictive biomarkers of benefit from immune checkpoint inhibitors in cancer therapy
Authors: Ji Shoujian , Chen Huan , Yang Keyan , Zhang Guanxiong , Mao Beibei , Hu Ying , Zhang Henghui , Xu Jianming 
Published: April 2020

Abstract
Background：Currently, only a small subset of cancer patients can benefit from anti-PD-1/PD-L1 monotherapy, indicating that further predictive biomarkers are needed. Methods：In the retrospective study, plasma samples were collected before anti-PD-L1/PD-L1 treatment in two subset of patients. A total of 59 immunological factors, including cytokines, chemokines, and soluble immune checkpoints, were measured by using a multiplex immunoassay kit. Moreover, multiplex immunohistochemistry (mIHC) was performed in a subgroup of patients.Results：In the discovery cohort, multiplex immunoassay profiling data revealed that both soluble PD-L1 and C-C motif chemokine 5 (CCL5/RANTES) showed rising trends across the three subgroups PD, SD and CR/PR. Further investigation demonstrated the predictive and prognostic value of the pre-treatment levels of PD-L1, CCL5/RANTES, and their combinatorial signature the “2-cytokine signature”. As expected, the signature-high patients displayed a remarkably increased disease control rate (DCR) and prolonged survival versus that of the lower subgroup. More importantly, the relevance between the three signatures and the efficiency of immunotherapy was confirmed in the pan-cancer validation cohort. Notably, the significant association between the “2-cytokine signature” and longer survival was validated. Further quantitative analyses of the tumor microenvironment composition suggested a link between the “2-cytokine signature” and NK cell infiltration.Conclusions：A combined peripheral signature comprising CCL5/RANTES and soluble PD-L1 appears to be an effective biomarker to predict benefit from anti-PD-1/PD-L1 monotherapy. Our study underscores that peripheral immunological features may play an essential role in guiding patient selection and are worthy of future prospective investigations.
Clinical efficacy and safety in patients treated with teicoplanin with a target trough concentration of 20 μg/mL using a regimen of 12 mg/kg for five doses within the initial 3 days
Authors: Ueda Takashi , Takesue Yoshio , Nakajima Kazuhiko , Ichiki Kaoru , Ishikawa Kaori , Takai Yoshiko , Yamada Kumiko , Tsuchida Toshie , Otani Naruhito , Takahashi Yoshiko , Ishihara Mika , Takubo Shingo , Ikeuchi Hiroki , Uchino Motoi , Kimura Takeshi 
Published: April 2020

Abstract
Background: A trough concentration (Cmin) ≥20 μg/mL of teicoplanin is recommended for the treatment of serious methicillin-resistant Staphylococcus aureus (MRSA) infections. However available data are limited because it is difficult to attain this target Cmin.Methods: Pharmacokinetics and adverse events were evaluated in all eligible patients. For clinical efficacy, patients who had bacteremia/complicated MRSA infections were analyzed. The primary endpoint for clinical efficacy was an early clinical response at 72–96 h after the start of therapy. Five dosed of 12 mg/kg or 10 mg/kg was administered as an enhanced or conventional high loading dose regimen, respectively. The Cmin was obtained at 72 h after the first dose.Results: Overall, 512 patients were eligible, and 76 patients were analyzed for treatment efficacy. The proportion of patients achieving the target Cmin range (20–40 μg/mL) by the enhanced regimen was significantly higher than for the conventional regimen (75.2% versus 41.0%, p < 0.001). In multivariate analysis, Cmin ≥20 μg/mL was an independent factor for an early clinical response (odds ratio 3.95, 95% confidence interval 1.25–12.53). There was no significant difference in the occurrence of adverse events between patients who did or did not achieve a Cmin ≥20 μg/mL.Conclusion: A target Cmin ≥20 μg/mL might improve early clinical responses during the treatment of difficult MRSA infections using 12 mg/kg teicoplanin for five doses within the initial 3 days.
Characterization of 1q Duplication by Array Comparative Genomic Hybridization in Acute Myeloid Leukemia Patients with t(8;16)(p11.2;p13.3)
Authors: Liu Meng , Ren Yuan , Wang Xianfu , Lu Xianglan , Li Ming , Kim Young Mi , Li Shibo , Zhang Lijun 
Published: April 2020

Abstract
Background: Acute myeloid leukemia (AML) is a complex hematological disease characterized by genetic and clinical heterogeneity. The identification and understanding of chromosomal abnormalities are important for the diagnosis and management of AML patients. Compared to recurrent chromosomal translocations in AML, t(8;16)(p11.2;p13.3) can be found in any age group, but is very rare and typically associated with poor prognosis. Methods: Cytogenetic studies were performed among 1,824 AML patients from our oncology database in the last 20 years by karyotype analysis. Fluorescence in situ hybridization (FISH) was used to further confirm the chromosomal translocation fusion. Array comparative genome hybridization (aCGH) was carried out to characterize the additional chromosomal segments in patients with t(8;16)(p11.2;p13.3). Results: Three patients with t(8;16)(p11.2;p13.3) were identified. One patient was pure t(8;16)(p11.2;p13.3), and the other two had an additional chromosomal anomaly of 1q duplication. Interestingly, the molecular size and position of this 1q duplication were similar in both patients, showing as 46.7 Mb and 49.9 Mb, respectively. Conclusion: 1q duplication is a recurrent event in AML patients with t(8;16)(p11.2;p13.3), indicating it could also play a role of an unfavorable prognostic factor.
Utility of 18F-FDG PET/CT for Predicting Pathologic Complete Response in Luminal HER2-Negative Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
Authors: Lee In Hee , Lee Soo Jung , Lee Jeeyeon , Jung Jinhyang , Park Hoyong , Jeong Shin Young , Lee Sang-woo , Chae Yee Soo 
Published: April 2020

Abstract
Purpose: Pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) is a predictor of improved outcomes in breast cancer. In patients with luminal-type breast cancer, the response to NAC is variable and mostly limited. This study was an investigation of the predictive relevance of parameters of 18 F-FDG PET/CT for the pCR to NAC in patients with luminal HER2–negative breast cancer. Methods: A total of 109 consecutive hormone receptor-positive and HER2-negative breast cancer patients who were treated with NAC were enrolled in this prospective cohort study. The relationships between pretreatment 18 F-FDG PET/CT and clinical outcomes including pathologic response to NAC were evaluated. Results: All patients finished their planned NAC cycles and eight patients (7.3%) achieved pCR. In the receiver operating characteristic (ROC) curve analysis, pSUVmax exhibited high sensitivity and specificity for predicting pCR. Furthermore, multivariate logistic regression analysis revealed pSUVmax as a predictive factor for pCR (hazard ratio = 17.452; 95% CI = 1.847 – 164.892; p = 0.013). Conclusion: The results of this study suggest that 18 F-FDG PET/CT pSUVmax is a predictive factor for pCR of luminal HER2-negative breast cancer to NAC.
Artificial Neural Networks Improve LDCT Lung Cancer Screening: A Comparative Validation Study
Authors: Hsu Yin-Chen , Tsai Yuan-Hsiung , Weng Hsu-Huei , Hsu Li-Sheng , Tsai Ying-Huang , Lin Yu-Ching , Hung Ming-Szu , Fang Yu-Hung , Chen Chien-Wei 
Published: April 2020

Abstract
Background: This study proposes a prediction model for the automatic assessment of lung cancer risk based on an artificial neural network (ANN) with a data-driven approach to the low-dose computed tomography (LDCT) standardized structure report. Methods: This comparative validation study analysed a prospective cohort from Chiayi Chang Gung Memorial Hospital, Taiwan. In total, 836 asymptomatic patients who had undergone LDCT scans between February 2017 and August 2018 were included, comprising 27 lung cancer cases and 809 controls. A derivation cohort of 602 participants (19 lung cancer cases and 583 controls) was collected to construct the ANN prediction model. A comparative validation of the ANN and Lung-RADS was conducted with a prospective cohort of 234 participants (8 lung cancer cases and 226 controls). The areas under the curves (AUCs) of the receiver operating characteristic (ROC) curves were used to compare the prediction models. Results: At the cut-off of category 3, the Lung-RADS had a sensitivity of 12.5%, specificity of 96.0%, positive predictive value of 10.0%, and negative predictive value of 96.9%. At its optimal cut-off value, the ANN had a sensitivity of 75.0%, specificity of 85.0%, positive predictive value of 15.0%, and negative predictive value of 99.0%. The area under the ROC curve was 0.764 for the Lung-RADS and 0.873 for the ANN (P=0.01). The heatmap plot demonstrates the leading items, i.e., solid nodules, partially solid nodules, and ground-glass nodules, as the significant predictors of malignant outcomes.Conclusions: Compared to the Lung-RADS, the ANN provided better sensitivity for the detection of lung cancer in an Asian population. In addition, the ANN provided a more refined discriminative ability than the Lung-RADS for lung cancer risk stratification with population-specific demographic characteristics. When lung nodules are detected and documented in a standardized structured report, ANNs may better provide important insights for lung cancer prediction than conventional rule-based criteria.Trial registration: Not applicable.
Efficacy of transfusion pre-medications on attenuating transfusion reaction in adults: A systematic review and meta-analysis
Authors: Yu Shiyuan , Liu Yawei , Gao Yanxia , Lu Xin , Zhao Lina , Ge Zengzheng , Zhu Huadong , Yi Li 
Published: April 2020

Abstract
Background – Transfusion pre-medications are generally administered in patients prior to blood transfusion. However, the use of transfusion pre-medications is largely experience-based instead of evidence-based. Our meta-analysis aimed to combine the most updated evidence and demonstrate the efficacy of transfusion pre-medications on attenuating transfusion reaction among patients. Material and Method – Pubmed, EMBASE, Cochrane Library, Wanfang database, CNKI, CMB was searched for related articles. Data from transfusion pre-medications treated group and transfusion pre-medications free group was collected. Baseline characteristics between groups were compared using SPSS 19.0. RevMan 5.3 was used to pool the collected data for meta-analysis between groups. OR and SMD were used to demonstrate the outcomes. Results - Eight eligible articles (6 case control studies and 2 RCT) were identified, including 22060 cases. Administered transfusion pre-medications included dexamethasone, chlorpheniramine or promethazine. Baseline characteristics showed no significant difference between groups regarding age and gender. There was no significant difference between transfusion pre-medications treated group and transfusion pre-medications free group concerning the rate of fever, itchy, rash, airway spasm and overall transfusion reaction. Conclusion – Dexamethasone, chlorpheniramine or promethazine is probably not a candidate for prevention of transfusion reaction. Avoiding experienced use of such transfusion pre-medications before blood transfusion may reduce the number of adverse drug reaction and clinical trial is still needed in the future to figure out the treatment for alleviating transfusion reaction.
Non-monotonous growth and motion of the South Atlantic Anomaly
Authors: Amit Hagay , Terra-Nova Filipe , Lézin Maxime , Trindade Ricardo 
Published: April 2020

Abstract
The South Atlantic Anomaly (SAA) is a region at Earth’s surface where the intensity of the magnetic field is particularly low. Accurate characterization of the SAA is important for both fundamental understanding of core dynamics and the geodynamo as well as societal issues such as the erosion of instruments at surface observatories and onboard spacecrafts. Previous studies applied crude measures of the SAA. Here we propose new measures to better characterize the SAA area and center, accounting for global dipole changes and shape anisotropy. Applying our characterization to a geomagnetic field model covering the historical era, we find that the mean SAA area increase and westward drift rates are twice slower than previously reported. Our results reveal that the SAA area and center are much more time-dependent, including episodes of area decrease, eastward drift and rapid southward drift. We interpret these special events in terms of the secular variation of relevant large-scale geomagnetic flux patches on the core-mantle boundary. Our characterization may be used as a constraint on Earth-like numerical dynamo models.
Efficacy of Orbital Radiotherapy in Moderate-to-Severe Active Graves’ Orbitopathy Including Long-lasting Disease
Authors: Choi Jin Hwa , Lee Jeong Kyu 
Published: April 2020

Abstract
Background: We aimed to explore the efficacy of orbital radiotherapy (RT) in patients with moderate-to-severe active Graves’ orbitopathy (GO), including long-lasting disease, and to determine the predictive factors associated with treatment response. Methods: This was a retrospective study of 62 moderate-to-severe active GO patients treated with RT. Demographic data and ophthalmic findings prior to RT and at 3 and 6 months afterward were analyzed. Computed tomography was performed before and after RT to compare orbital volume change. We used logistic regression to determine the predictive factors for treatment response. Subjects were divided into early- and late-active phase groups based on GO duration of 24 months and treatment outcomes were compared with each other to observe the effects of RT timing on treatment response. Results: Forty (64.5%) and forty-six (74.1%) patients experienced improvements in GO at 3 and 6 months after radiotherapy, respectively. Ocular parameters such as clinical activity score (CAS), proptosis, extraocular muscle (EOM) limitation, and compressive optic neuropathy (CON) were improved by RT. Volumes of EOM significantly decreased after RT. The enlargement of EOMs and EOM limitation were predictive factors for a good response to RT. At 6 months after RT, 22 (68.8%) patients of late-active phase group exhibited improvement in GO, which is comparable to the number of 24 (80.0%) patients of early-active phase group. In the late-active phase group, CAS, diplopia, and visual acuity were improved significantly, but there was no change in EOM limitation. Conclusions: In moderate-to-severe active GO patients, orbital RT may help improve high CAS, proptosis, EOM limitation, and CON. The orbital RT in long-lasting active GO patients may be considered as treatments for the relief of symptoms including high CAS and poor visual acuity.
Combining texture features of whole slide images improves prognostic prediction of recurrence-free survival for cutaneous melanoma patients
Authors: Peng Yanbin , Chu Yunfeng , Chen Zhong , Zhou Wen , Wan Shengxiang , Xiao Yingfeng , Zhang Youlong , Li Jialu 
Published: April 2020

Abstract
Background: Accurate prediction of recurrence-free survival (RFS) is important for the prognosis of cutaneous melanoma patients. The image-based pathological examination remains as the gold standard for diagnosis. It is of clinical interest to account for computer-aided processing of pathology image when performing prognostic analysis.Methods: We enrolled in this study a total of 152 patients from TCGA-SKCM with complete information in recurrence-related survival time, baseline variables (clinicopathologic variables, mutation status of BRAF and NRAS genes), gene expression data and whole slide image (WSI) features. We preprocessed WSI to segment global or nucleus areas, and extracted 3 types of texture features from each region. We performed cross validation and used multiple evaluation metrics including C-index and time-dependent AUC to determine the best model of predicting recurrence events. We further performed differential gene expression analysis between the higher and lower-risk groups within AJCC pathologic tumor stage III patients to explore the underlying molecular mechanisms driving risk stratification. Results: The model combining baseline variables and WSI features had the best performance among models with any other types of data integration. The prognostic risk score generated by this model could provide a higher-resolution risk stratification within pathologically-defined subgroups. We found the selected image features captured important immune-related variations, such as the aberration of expression in T cell activation and proliferation gene sets, and therefore contributed to the improved prediction. Conclusions: Our study provided a prognostic model based on the combination of baseline variables and computer-processed WSI features. This model provided more accurate prediction than models based on other types of data combination in recurrence-free survival analysis. Trail registration: This study was based on public open data from TCGA and hence the study objects were retrospectively registered.
Fabrication and electrical characteristics of flash-sintered SiO2-doped ZnO-Bi2O3-MnO2 varistors
Authors: Peng Pai , Niu Jingpeng , Shi Liyi , Mei Yunzhu , Du Sanming , Liu Juan , XU Dong 
Published: April 2020

Abstract
The dense ZnO-Bi 2 O 3 -MnO 2 - x SiO 2 (ZBMS) varistors were fabricated by flash sintering method under the low temperature of 850 o C within 2 minutes. The phase structure, density, microstructure, and electrical characteristics of the flash-sintered ZBMS varistors with different SiO 2 doping content were investigated. According to the XRD analysis, many secondary phases were detected due to the doping of SiO 2 . Meanwhile, the average grain size decrease with increasing SiO 2 doping content. In addition, the electrical properties of all samples were analyzed. The improved nonlinear characteristics were obtained in SiO 2 doped samples, which can be attributed to the ion migration and oxygen absorption induced by the doping of SiO 2 . The flash-sintered ZBMS varistor ceramics exhibited excellent comprehensive electrical properties, with the nonlinear coefficient of 24.5, the threshold voltage and leakage current of 385 V/mm and 11.8 µA, respectively.