bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an Immune-Related Gene Pairs Signature for Predicting Clinical Outcome in Lung Adenocarcinoma
Authors: Wu Chunlei , Hu Quanteng , Ma Dehua 
Published: July 2020

Abstract
Background: Lung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. The aim of this study was to establish an immune-related gene pairs (IRGPs) signature for predicting the prognosis of LUAD patients.Methods: We downloaded the gene expression profile and immune-related gene set from TCGA and ImmPort database, respectively, to establish IRGPs. Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis and multivariable Cox regression analysis to screen and develop a IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from GEO was used to validate this signature. Results: A IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in TCGA set was 0.867 and 0.870, respectively. Similar result was observed in the AUC of GEO set and Total set (GEO set [1-year: 0.819; 3-years: 0.803]; Total set [1-year: 0.845; 3-years: 0.801]). Survival analysis of three sets demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that risk score was independent prognostic factors.Conclusions: We developed a novel IRGPs signature for predicting prognosis of LUAD.
Nothing Wrong About Change: The Adequate Choice of the Dependent Variable and Design in Prediction of Intervention Success
Authors: Mattes André , Roheger Mandy 
Published: July 2020

Abstract
Background Investigating predictors of intervention success is a common approach in medical research. In the light of an individualized medicine, it is important not only to investigate the effects of certain pharmacological and nonpharmacological interventions, but also to examine specific individual characteristics of participants who do or do not benefit from these interventions. However, results on specific predictors of intervention success in the overall field are mixed and inconsistent due to different and sometimes inappropriate statistical methods used. Therefore, the present paper gives a guidance on the appropriate use of multiple regression analyses to identify predictors of pharmacological and nonpharmacological interventions.Methods We simulated data based on a predefined true model and ran a series of different analyses to evaluate their performance in retrieving the true model coefficients. The true model consisted of a 2 (between: experimental vs. control group) x 2 (within: pre- vs. post-treatment) design with two continuous predictors, one of which predicted the success in the intervention group and the other did not. In analyzing the data, we considered four commonly used dependent variables (post-test score, absolute change score, relative change score, residual score), five regression models, eight sample sizes, and four levels of reliability.Results Our results indicated that a regression model including the investigated predictor, Group (experimental vs. control), pre-test score, and the interaction between the investigated predictor and the Group as predictors, and the absolute change score as the dependent variable seemed most convenient for the given experimental design. Although the pre-test score should be included as a predictor in the regression model for reasons of statistical power, its coefficient should not be interpreted because even if there is no true relationship, a negative and statistically significant regression coefficient commonly emerges.Conclusion Employing simulation methods, theoretical reasoning, and mathematical derivations, we were able to derive recommendations regarding the analysis of data in one of the most prevalent experimental designs in research on pharmacological and nonpharmacological interventions and external predictors of intervention success. These insights can contribute to the application of considered data analyses in future studies and facilitate cumulative knowledge gain.
Feasibility of continuous fever monitoring using wearable devices
Authors: Smarr Benjamin , Aschbacher Kirstin , Fisher Sarah M. , Chowdhary Anoushka , Dilchert Stephan , Puldon Karena , Rao Adam , Hecht Frederick M. , Mason Ashley E. 
Published: July 2020

Abstract
Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables.
A level set-based approach for modeling cellular rearrangements in tissue morphogenesis
Authors: Mohammad Rhudaina Z. , Murakawa Hideki , Svadlenka Karel , Togashi Hideru 
Published: July 2020

Abstract
Mathematical models and numerical simulations can provide an essential insight into the mechanisms through which local cell-cell interactions affect tissue-level cell morphology. Among such morphological phenomena, cellular patterns observed in developing sensory epithelia have gained keen attention of researchers in recent years, because they are thought to be of utmost importance for accurate sensory functions. However, most of current computational approaches to cellular rearrangements lack solid mathematical background and involve experimentally unreachable parameters, whereby only weak and ambiguous conclusions can be made based on simulation results. Here we present a simple mathematical model for tissue morphogenesis together with a level set-based numerical scheme for its solution as a tool to rigorously investigate evolving cellular patterns. This combined framework of a model and a numerical method features minimum possible number of physical parameters and guarantees reliability of simulation results, including correct handling of topology changes, such as cell intercalations. In this framework, we adopt the viewpoint of free energy minimization principle, and take cellular rearrangement as a gradient flow of a weighted surface energy associated with cell membrane, where the weights are related to physical parameters of the cells, for example, cell-cell adhesion and cell contractility. We present the applicability of this model to a wide range of tissue morphological phenomena, such as cell sorting, engulfment or internalization. In particular, we stress that this method is the first one to be successful in computationally reproducing the experimentally observed development of cellular mosaic patterns in sensory epithelia. Thanks to its simplicity and reliability, the model is able to capture the essence of biological phenomena, and may give a strong helping hand in deciphering unsolved questions of morphology.
Monetary value and cost analysis of a youth voluntary program on road safety in Iran
Authors: Seddighi Hamed , Salmani Ibrahim 
Published: July 2020

Abstract
Objectives: Volunteering has great economic and social benefits, but it is neglected due to the voluntary nature of the work. The purpose of this study was to assess the monetary aspect of voluntary activities in the plan of Iranian National Safety and Health for New Year Holidays passengers and analyze cost analysis of the implementation of this plan by youth volunteers.Methods: In this descriptive-analytical study, 1574 volunteers outlined in this plan were analyzed from Wage Replacement and Replacement Cost approach for monetary evaluation of voluntary activities. In addition, the cost benefit analysis of a Red Crescent voluntary plan is calculated by "value audit and volunteer investment" (VIVA) technique.Results: In the mentioned road safety plan, the sum of the economic value of volunteering work in the Nowruz passenger's safety and health plan is multiplied by the number of working hours of youth volunteers per day, the number of young people and the average wage was earned at an hour, which was obtained as $ 69885.6. also Viva rate is 10.6$ means every dollar Red crescent spent will cost more than 10$ if it wasn’t voluntary. Discussion: According to the findings, it seems that the voluntary plan for safety and health of New Year holidays passengers had been economically profitable for the Red Crescent population as well as for the government because of its high revenue compared to the its cost.
Multimodal imaging in Behçet disease uveitis manifesting with sequential bilateral prepapillary inflammatory vitreous exudate
Authors: Ksiaa Imen , Aoun Safa Ben , Zina Sourour , Nefzi Dhouha , Khochtali Sana , Khairallah Moncef 
Published: July 2020

Abstract
Objective: To describe a case of Behçet disease (BD) uveitis manifesting with sequential bilateral prepapillary inflammatory vitreous exudate (PIVE) documented with multimodal imaging, including swept source optical coherence tomography (SS OCT) and OCT angiography. Material and Methods: A single case report.Results: A 37-year-old man developed sequential bilateral PIVE, initially misdiagnosed as toxoplasmic neuroretinitis, before extraocular features of BD became evident and the patient treated accordingly. SS OCT showed at the acute phase in both eyes a typical “mushroom-shaped” prepapillary hyperreflectivity of the PIVE. SS OCTA demonstrated a corresponding prepapillary hypointense area due to shadowing effect, decreasing in size while scanning deeper layers. It also detected peripapillary retinal hypervascularity in both eyes and a sectoral area of flow signal loss in the first involved left eye. Visual acuity improved following the resolution of the PIVE and associated acute inflammatory changes in both eyes. The left eye showed residual optic disc pallor and retinal nerve fiber layer defects.Conclusion: Sequential bilateral PIVE may occur in the absence of other clinical features of BD. SS OCT and OCTA can provide useful information for the diagnosis and management of PIVE and underlying optic nerve inflammation.
Malignancy history had no marked effect on the prognosis of COVID-19: A cohort study
Authors: Shi Xiaowu , Hu Jiahao , Ding Haixia , Ye Shenglan , Yang Xiuwen 
Published: July 2020

Abstract
Background

Primary disease influenced the prognosis of coronavirus disease 2019 (COVID-19), but the clinical characters of patients accompanied with tumor were few reported.
Methods

We enrolled 528 COVID-19 patients. Date of laboratory tests and outcome were divided to corresponding groups to compare the risk factors of disease severity, progression and survival.
Results

The disease severity at hospitalization, progression rate (51.43% vs 54.42%) and mortality (19.51% vs 11.91%) were equal between tumor and non-tumor group. In both groups, lymphopenia was negatively related to the severity grading (OR = 0.019 and 0.168 separately), NLR was positively correlated with the poor outcome (OR = 1.371 and 1.155 separately), and CRP was relevant to the disease progression and survival (OR = 1.334 and 1.303 separately).
Conclusions

Malignancy history may have no marked effect on the severity and prognosis of COVID-19. Lymphopenia, NLR and CRP levels could be regarded as indicators to determine severe cases, and predict progression and survival.
SOX9 stands for a bio-marker for prostate cancer detection
Authors: Zi Hao , Tao Wen-Lin , Gao Lei , Yu Zhao-Hua , Bai Xiao-Dong , Li Xiao-Dong 
Published: July 2020

Abstract
Background

Prostate cancer is one of common cancers around the world, and in our country the incidence and mortality of PCa are both increasing. More and more reports have revealed that SOX9 is involved in various human cancers. In this study, we aimed to explore the relationship between SOX9 expression and diagnostic value of PCa patients.
Methods

In this study, quantitative real-time PCR (qRT-PCR) was performed to determine the expression of SOX9 of the 131 PCa patients and 74 healthy volunteers. And receiver operating characteristic (ROC) curve was used to determine the diagnostic value of SOX9 for PCa patients.
Results

The results of qRT-PCR showed that the expression of serum SOX9 in PCa patients was higher than that in healthy controls (P < 0.05). And the expression of SOX9 was significantly associated with PSA (P = 0.001), differentiation (P = 0.000), and lymph node metastasis (P = 0.000). Besides, the area under the ROC curve (AUC) was 0.966 with the sensitivity of 93.2% and specificity of 87.8% respectively. The optimal cutoff value of SOX9 was 2.34.
Conclusions

Our results found that SOX9 is a novel oncogene for PCa, and may be a novel and effective biomarker for the diagnosis of patients with PCa.
Association between ambient fine particulate matters and chronic obstructive pulmonary disease (COPD) mortality: an analysis in Southeastern China
Authors: Chen Zhijian , Fu Qiuli , Mao Guangming , Wu Lizhi , Xu Peiwei , Xu Dandan , Wang Zhifang , Pan Xuejiao , Chen Yuan , Lou Xiaoming , Wang Xiaofeng , Mo Zhe 
Published: July 2020

Abstract
Background: The objective of this study was to investigate the association between ambient particulate matters(PMs)and chronic obstructive pulmonary disease (COPD) mortality.Methods: Generalized Additive Mixed Model was employed to investigate the effects of ambient fine and coarse PMs on COPD mortality using 13,066 deaths from 2014 to 2016 among six cities in Zhejiang Province in Southeastern China.Results: The daily average death count due to COPD was 3, varying from 1 to 7among six cities. The daily 24-hour mean concentrations were diverse among cities, from 29.7 to 56.8 µg/m3 for PM2.5, 16.7 to 30.3 µg/m3 for PM2.5−10, and 50.3 to 87.1 µg/m3 for PM10, respectively. The analysis showed that daily exposure to PM2.5 and PM10 was associated with increased mortality due to COPD and that weak effects were observed between PM2.5−10 and COPD mortality.Conclusions: Our results provided evidence that the fine particles in air pollution have stronger functions on adverse health effects other than coarser particles in Southeastern China, which may be considered as a potential clinic target in PM-associated COPD.
Treatment Administered to Newborns With Congenital Syphilis During the Period of Penicillin Shortage in Brazil
Authors: Rocha Ana Fatima Braga , Araújo Maria Alix Leite , Taylor Melanie M. , Kara Edna O. , Broutet Nathalie Jeanne Nicole 
Published: July 2020

Abstract
Background
Between 2014 and 2016, Brazil experienced a severe shortage in penicillin supply, resulting in a lack of treatment among some pregnant women and newborns with syphilis and the use of non-evidence-based regimens. The aim of this study is to describe the different therapeutic regimens used in newborns with congenital syphilis during the period of penicillin shortage using a retrospective cross-sectional study design conducted in Fortaleza, Northeast Brazil.
Methods
Hospital medical records and case reporting forms of live births reported with congenital syphilis in 2015 and the associated maternal syphilis cases were reviewed during June 2017 to July 2018 from all public maternity hospitals in the city of Fortaleza.
Results
A total of 575 congenital syphilis cases were reported to the municipality of Fortaleza during 2015 and 469 (81.5%) were analyzed. Of these, only 210 (44.8%) were treated with a nationally-recommended treatment. As alternative therapeutic options, ceftriaxone was used in 65 (13.8%), Cefazolin in 15 (3.2%) and the combination of more than one drug in 179 (38.2%). Newborns with VDRL titers > 1:8 (p = 0.021), who had some clinical manifestation at birth (p = 0.003), who were born premature (p < 0.001), with low birth weight (p = 0.010), with jaundice indicative of the need for phototherapy (p = 0.019) and with hepatomegaly (p = 0.045) were more likely to be treated with penicillin according to national treatment guidelines compared to newborns treated with other regimens.
Conclusion
During the period of shortage of penicillin in Fortaleza, less than half of the infants with CS were treated with a nationally-recommended regimen, the remaining received treatment with medications available in the hospital of birth including drugs that are not part of nationally or internationally-recommended treatment recommendations.
Guidance for Overviews of Reviews Continues to Accumulate, But Important Challenges Remain: A Scoping Review
Authors: Gates Michelle , Gates Allison , Guitard Samantha , Pollock Michelle , Hartling Lisa 
Published: July 2020

Abstract
Background. Overviews of reviews (overviews) provide an invaluable resource for healthcare decision-making by combining large volumes of systematic review (SR) data into a single synthesis. The production of high-quality overviews hinges on the availability of practical evidence-based guidance for conduct and reporting.Objectives. Within the broad purpose of informing the development of a reporting guideline for overviews, we aimed to provide an up-to-date map of existing guidance related to the conduct of overviews, and to identify common challenges that authors face when undertaking overviews.Methods. We updated a scoping review published in 2016 using the search methods that had produced the highest yield: ongoing reference tracking (2014 to March 2020 in Pubmed, Scopus, and Google Scholar), hand-searching conference proceedings and websites, and contacting authors of published overviews. Using a qualitative meta-summary approach, one reviewer extracted, organized, and summarized the guidance and challenges presented within the included documents. A second reviewer verified the data and synthesis.Results. We located 28 new guidance documents, for a total of 77 documents produced by 34 research groups. The new guidance helps to resolve some earlier identified challenges in the production of overviews. Important developments include strengthened guidance on handling primary study overlap at the study selection and analysis stages. Despite marked progress, several areas continue to be hampered by inconsistent or lacking guidance. There is ongoing debate about whether, when, and how supplemental primary studies should be included in overviews. Guidance remains scant on how to extract and use appraisals of quality of the primary studies within the included SRs and how to adapt GRADE methodology to overviews. The challenges that overview authors face are often related to the above-described steps in the process where evidence-based guidance is lacking or conflicting.Conclusion. The rising popularity of overviews has been accompanied by a steady accumulation of new, and sometimes conflicting, guidance. While recent guidance has helped to address some of the challenges that overview authors face, areas of uncertainty remain. Practical tools supported by empirical evidence are needed to assist authors with the many methodological decision points that are encountered in the production of overviews.
Study on Awareness of Covid-19, Anxiety and Compliance on Social Distancing in Indonesia During Coronavirus Disease 2019 (COVID-19) Pandemic
Authors: Harlianty Rully Afrita , Widyastuti Tria , Mukhlis Hamid , Susanti Susi 
Published: July 2020

Abstract
The psychological problem that can arise due to uncertain conditions to the spread of COVID-19 is anxiety. One of the essential behaviors that contribute to the prevention of the spread of COVID-19 is awareness related to COVID-19 and the behavior of community adherence to the appeal of Social Distancing. The research objective was to determine whether awareness of COVID-19 is associated with anxiety and community compliance with social distancing rules. Besides, to understand differences in awareness of COVID-19, anxiety, and community compliance with social distancing rules. Based on an online survey through Google Form was conducted on 404 respondents aged 18 to 63 years. Data were collected using three instruments, the COVID-19 awareness scale, the Depression Anxiety Stress Scale (DASS) anxiety subscale, and the compliance scale for social distancing. Data were analyzed using Spearman correlation and Kruskal Wallis, followed by Mann-Whitney U with Bonferroni correction. The main results of the research found that awareness of COVID-19 plays a vital role in realizing community compliance with social distancing rules. The group that needs more attention is related to awareness of lower COVID-19 and more at risk of experiencing anxiety, namely the younger age group, less educated, and not working. The government need to pay more attention to at-risk groups and provide an official information channel for raising awareness of COVID-19, clear prevention policies, and health protocols to prevent the spread of COVID-19 especially with the discourse for new normal people are asked to move back in the middle of the COVID-19 pandemic.
A return to normal kidney function in a Caucasian male after COVID-19 induced dialysis-requiring kidney failure
Authors: Okholm Peter , Kampmann Jan 
Published: July 2020

Abstract
Background: Coronavirus disease 2019 also known as COVID-19 has been recognized by WHO as a global pandemic and has spread to most of the world. The disease has a multitude of clinical presentations, and especially the development of acute kidney injury has been associated with increased mortality.Case Presentation: A 71-year old Caucasian male was admitted with fever and dyspnea to the emergency department. His medical history included type 2 diabetes and hypertension. Blood tests showed a normal kidney function before admission with a creatinine of 0,8 mg/dL. Clinical examination, blood tests and Chest X-ray suggested COVID-19. At admission the diagnose COVID-19 was confirmed, fluid therapy was commenced and Angiotensin-converting enzyme therapy discontinued. The patients was intubated due to respiratory failures and transferred to the intensive care ward where he developed acute anuric kidney failure and was started in continuous renal replacement therapy. After 6 days of dialysis treatment his kidney function slowly started to improve, and he was discharged after 26 days of admission. 42 days after admission his creatinine was measured to 1.3 mg/dLConclusion: We present the rare case of a Caucasian male, who not only survived COVID-19 induced kidney failure that required continuous renal replacement therapy, but returned to almost baseline creatinine. We discuss the role of Angiotensin-converting enzyme inhibitor treatment in COVID-19 and the potential pathophysiological mechanism surrounding AKI in COVID-19 patients in literature, and connect it to our case report.