bluuebunny/crossref_metadata_2025_split huggingface dataset:
Meta-analysis of anti-Saccharomyces cerevisiae antibodies as diagnostic markers of Behçet’s disease with gastrointestinal involvement
Authors: Cheng Linlin , Li Liubing , Liu Chenxi , Yan Songxin , Li Yongzhe 
Published: October 2020

ObjectiveDue to common exposure to yeast in the alcoholic and baking industry, positive rate of anti-Saccharomyces cerevisiae antibodies (ASCA) is reportedly high in patients with Behçet’s disease (BD) who have gastrointestinal symptoms (gastrointestinal BD (GIBD)). We performed a meta-analysis to assess the diagnostic value of ASCA in differentiating patients with BD from those with other chronic inflammatory bowel diseases.MethodsThe meta-analysis is presented with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis of Observational Studies in Epidemiology checklist. Relevant studies that investigated ASCA levels in patients with BD were retrieved from PubMed, EMBASE, Web of Science, SCOPUS and the Cochrane Library on 12 July 2019; the search was rerun on 12 February 2020. Stata/SE V.12.0 and Meta-DiSc V.1.4 were used to perform the meta-analysis and sensitivity analysis, disaggregated by isotypes of ASCA.ResultsNine studies were included in the meta-analysis. The results revealed a strong association between ASCA and GIBD, especially ASCA-IgG (OR=5.50 (95% CI 2.58 to 11.55), p=0.000) and ASCA-IgG+IgA (OR=5.36 (95% CI 1.40 to 20.45), p=0.014). The positivity rate of ASCA in GIBD was significantly higher than that in ulcerative colitis (UC): IgA (OR=2.13 (95% CI 1.30 to 3.50), p=0.003); IgG+IgA (OR=2.19 (95% CI 1.03 to 4.66), p=0.042); IgG/IgA ((=2.03 (95% CI 1.30 to 3.17), p=0.002). However, the frequency of ASCA-IgG was significantly higher in patients with Crohn's disease than GIBD (OR=0.48 (95% CI 0.28 to 0.83), p=0.009). There was no significant difference in ASCA positivity between BD without gastrointestinal involvement and healthy controls and between GIBD and intestinal tuberculosis (iTB) (p>0.05).ConclusionASCA may play a role in the pathogenesis of gastrointestinal involvement. Negative result of IgG favours the diagnosis of GIBD/BD when differentiated from Crohn’s disease. ASCA-IgA showed moderate diagnostic performance in distinguishing GIBD and UC and the diagnostic performance was better in combination with IgG. However, ASCA may not be a useful serologic marker distinguishing GIBD and iTB.PROSPERO registration numberCRD42020115245.
SIZE study: study protocol of a multicentre, randomised controlled trial to compare the effectiveness of an interarcuair decompression versus extended decompression in patients with intermittent neurogenic claudication caused by lumbar spinal stenosis
Authors: Arjun Sharma Jamie , Gadjradj Pravesh S. , Peul Wilco C. , van Tulder Maurits W. , Moojen Wouter A. , Harhangi Biswadjiet S. 
Published: October 2020

IntroductionIntermittent neurogenic claudication (INC) is often caused by lumbar spinal stenosis (LSS). Laminectomy is considered a frequently used surgical technique for LSS. Previous studies have shown that laminectomy can potentially cause lumbar instability. Less invasive techniques, preserving midline structures including the bilateral small size interarcuair decompression, are currently applied. Due to lack of evidence and consensus, surgeons have to rely on their training and own experiences to choose the best surgical techniques for their patients. Hence, an observer and patient blinded multicentre, randomised controlled trial was designed to determine the effectiveness and cost-effectiveness of bilateral interarcuair decompression versus laminectomy for LSS.Methods and analysis174 patients above 40 years with at least 12 weeks of INC will be recruited. Patients are eligible for inclusion if they have a clinical indication for surgery for INC with an MRI showing signs of LSS. Patients will be randomised to laminectomy or bilateral interarcuair decompression. The primary outcome is functional status measured with the Roland-Morris Disability Questionnaire at 12 months. Secondary outcomes consist of pain intensity, self-perceived recovery, functional status measured with the Oswestry Disability Index and a physical examination. Outcome measurement moments will be scheduled at 3 and 6 weeks, and at 3, 6, 12, 18, 24, 36 and 48 months after surgery. Physical examination will be performed at 6 weeks, and 12, 24 and 48 months. An economic evaluation will be performed and questionnaires will be used to collect cost data.Ethics and disseminationThe Medical Ethical Committee of the Erasmus Medical Centre Rotterdam approved this study (NL.65826.078.18). The results will be published in an international peer-reviewed journal.Trial registration numberClinicalTrials.gov (NCT03480893).IRB approval statusMEC-2018-093.
Effect of joint transition visits on quality of life in adolescents with inflammatory bowel diseases: a protocol for a prospective, randomised, multicentre, controlled trial (TRANS-IBD)
Authors: Erős Adrienn , Dohos Dóra , Veres Gábor , Tárnok András , Vincze Áron , Tészás Alexandra , Zádori Noémi , Gede Noémi , Hegyi Péter , Sarlós Patrícia 
Published: October 2020

IntroductionInflammatory bowel diseases (IBD) are among the most common chronic illnesses diagnosed in childhood. Transition from paediatric to adult care is a crucial phase. The implementation of joint visits during the transition period in IBD is widely recommended, however, strong evidence supporting their benefit is still missing. In this trial, we aim to prove the superiority of joint visits compared with usual care in improving transition outcomes of adolescents with IBD.Methods and analysisThis is a randomised controlled two-arm multicentre trial. A minimum of 160 adolescents with IBD aged between 16.75 and 17 years will be recruited from Hungarian tertiary IBD centres. After randomisation, eligible subjects in the intervention arm attend a total of four joint visits with adult and paediatric gastroenterologist between the ages of 17 and 18. In the control arm, adolescents meet only the paediatric gastroenterologist, but there is a balanced consultation between the two gastroenterologist regarding the patient’s treatment plan. Patients in both groups receive the same training and education, the only determinative difference between the two arms is the presence of the adult gastroenterologist at the joint visits. Data will be collected at inclusion, at transfer and 12 months post-transfer. Primary outcome is the change in health-related quality of life measured with the IMPACT-III questionnaire at 1 year after transfer. Secondary outcomes include the number of patients not lost to follow-up, healthcare utilisation, disease activity, medication adherence, self-efficacy, transition readiness and patient’s satisfaction. To compare the results of the two patient groups, two-sample T-test and Mann-Whitney test will be applied.Ethics and disseminationThe Scientific and Research Ethics Committee of the Hungarian Medical Research Council approved this study (50457-2/2019/EKU). Findings will be disseminated at conferences and in medical journals.Trial registration numberNCT04290156.
Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis
Authors: Abate Biruk Beletew , Kassie Ayelign Mengesha , Kassaw Mesfin Wudu , Aragie Teshome Gebremeskel , Masresha Setamlak Adane 
Published: October 2020

ObjectiveTo assess the sex difference in the prevalence of COVID-19 confirmed cases.DesignSystematic review and meta-analysis.SettingPubMed, Cochrane Library and Google Scholar were searched for related information. The authors developed a data extraction form on an Excel sheet and the following data from eligible studies were extracted: author, country, sample size, number of female patients and number of male patients. Using STATA V.14 for analysis, the authors pooled the overall prevalence of men and/or women using a random-effect meta-analysis model. The authors examined the heterogeneity in effect size using Q statistics and I2statistics. Subgroup and sensitivity analyses were performed. Publication bias was also checked.ParticipantsStudies on COVID-19 confirmed cases were included.InterventionSex (male/female) of COVID-19 confirmed cases was considered.Primary and secondary outcome measuresThe primary outcome was prevalence of COVID-19 among men and women.ResultsA total of 57 studies with 221 195 participants were used in the analysis. The pooled prevalence of COVID-19 among men was found to be 55.00 (51.43–56.58, I2=99.5%, p<0.001). Sensitivity analysis showed the findings were not dependent on a single study. Moreover, a funnel plot showed symmetrical distribution. Egger’s regression test p value was not significant, which indicates absence of publication bias in both outcomes.ConclusionsThe prevalence of symptomatic COVID-19 was found to be higher in men than in women. The high prevalence of smoking and alcohol consumption contributed to the high prevalence of COVID-19 among men. Additional studies on the discrepancies in severity and mortality rate due to COVID-19 among men and women and the associated factors are recommended.
Activities outside of the care setting for people with dementia: a systematic review
Authors: D'Cunha Nathan Martin , Isbel Stephen , McKune Andrew J , Kellett Jane , Naumovski Nenad 
Published: October 2020

ObjectivesTo summarise the evidence from interventions investigating the effects of out of care setting activities on people with dementia living in residential aged care.DesignA systematic review.MethodsA systematic search of electronic databases (PubMed, PsycINFO, Scopus, Web of Science and the Cochrane Library) was performed to identify intervention trials published from journal inception to January 2020. Controlled trials, or quasi-experimental trials, which measured pre-intervention, post-intervention or during-intervention outcomes, where the participants were required to leave the care setting to participate in an intervention, were eligible for inclusion. Quality appraisal of the studies was performed following the Cochrane Collaboration’s Risk of Bias or Newcastle-Ottawa Scale tools.ResultsOf the 4155 articles screened, 11 articles met the inclusion criteria from 9 different studies. The number of participants in the studies ranged from 6 to 70 people living with dementia and lasted for 3 weeks up to 5 months. The interventions were aquatic exercise, wheelchair cycling, art gallery discussion groups, an intergenerational mentorship programme, horse riding, walking and outdoor gardening. Overall, the studies indicated preliminary evidence of psychological (n=7), physical (n=4) and physiological (n=1) benefits, and all interventions were feasible to conduct away from the aged care facilities. However, the low number of participants in the included studies (n=177), the absence of a control group in all but three studies, and potential for selection bias, limits the generalisability of the findings.ConclusionsActivities outside of the residential aged care setting have the potential to be effective at providing a range of benefits for people living with dementia. Higher quality studies are required to encourage care providers to implement these type of activities in dementia care settings.PROSPERO registration numberCRD42020166518.
Size class segregation of Arctic cod (Boreogadus saida) in a shallow High Arctic embayment
Authors: Kessel S.T. , Crawford R.E. , Hussey N.E. , Ivanova S.V. , Holden J.P. , Fisk A.T. 
Published: October 2020

Arctic cod (Boreogadus saida (Lepechin, 1774)) vertically segregate by size class in deep waters, but such dynamics had not been explored in shallow waters. Spatial distribution of Arctic cod was investigated in Resolute Bay, Nunavut, Canada (74°41N, 94°52W) from 20 July to 5 August 2012, using a combination of hydroacoustic survey and direct capture. Hydroacoustic surveys identified two high concentrations of Arctic cod, with larger individuals detected on the west side, and smaller individuals on the east. Catch data confirmed size segregation, with fish sampled on the west side of the bay significantly larger (mean = 174 mm total length (TL); 35.9 g weight (WT)) than those on the east (mean = 110 mm TL; 9.2 g WT). Fish density on the west was estimated at 3.52 fish·m−2, extrapolated to the full 0.52 km2 of the surveyed shoal to ∼1 830 400 fish and 65 711 kg (assuming a 35.9 g mean WT). Smaller fish on the east side were more abundant (9.32 fish·m−2; total abundance ∼11 836 400 fish or 108 894 kg; mean WT = 9.2 g). Horizontal habitat-partitioning was observed between Arctic cod size classes over a small geographic area (∼8 km2), most probably due to partitioned resources and to mitigate predation risk.
RGE-induced $$\mu $$-$$\tau $$ symmetry breaking: an analysis of the latest T2K results
Authors: Huang Guo-yuan , Nath Newton 
Published: October 2020

AbstractThe T2K collaboration has recently reported their results, which gives the best-fit values of the atmospheric mixing angle $$\sin ^2 \theta _{23} = 0.53$$

sin
2

θ
23

=
0.53

and the Dirac CP-violating phase $$\delta = -1.89$$

δ
=
-
1.89

for normal neutrino mass ordering. We give a possible theoretical origin of such values based on the $$\mu $$
μ
-$$\tau $$
τ
reflection symmetry. It has been found that the breaking of such symmetry using one-loop renormalization-group equations (RGEs) in the framework of minimal supersymmetric standard model can fit well with the latest T2K results and the recent global fits. To make a quantitative analysis, we have included for the first time the complete dataset of oscillation, beta decay, neutrinoless double-beta decay and cosmological observations in comparing the theory to experiments. We also further examine the importance of such breaking patterns for neutrinoless double-beta decay experiments.
Holographic complexity in general quadratic curvature theory of gravity
Authors: Ghodsi Ahmad , Qolibikloo Saeed , Karimi Saman 
Published: October 2020

AbstractIn the context of CA conjecture for holographic complexity, we study the action growth rate at late time approximation for general quadratic curvature theory of gravity. We show how the Lloyd’s bound saturates for charged and neutral black hole solutions. We observe that a second singular point may modify the action growth rate to a value other than the Lloyd’s bound. Moreover, we find the universal terms that appear in the divergent part of complexity from computing the bulk and joint terms on a regulated WDW patch.
Dirac equation based on the vector representation of the Lorentz group
Authors: Marsch Eckart , Narita Yasuhito 
Published: October 2020

AbstractIn this paper, we derive an expanded Dirac equation for a massive fermion doublet, which has in addition to the particle/antiparticle and spin-up/spin-down degrees of freedom explicity an isospin-type degree of freedom. We begin with revisiting the four-vector Lorentz group generators, define the corresponding gamma matrices and then write a Dirac equation for the fermion doublet with eight spinor components. The appropriate Lagrangian density is established, and the related chiral and SU(2) symmetry is discussed in detail, as well as applications to an electroweak-style gauge theory. In “Appendix,” we present some of the relevant matrices.
CNN-SSPSO: A Hybrid and Optimized CNN Approach for Peripheral Blood Cell Image Recognition and Classification
Authors: Kumar Rajiv , Joshi Shivani , Dwivedi Avinash 
Published: October 2020

White blood cells (WBCs) play a main role in identifying the health condition and disease characteristics of a normal person. An automated classification system is capable of recognizing white blood cells that may help doctors to diagnose several diseases like malaria, anemia, leukemia, etc. Automated blood cell analysis allows fast and accurate outcomes and often involves broad data without performance negotiation. The state-of-the-art systems use a lot of different stages (feature extraction, segmentation, pre-processing, etc.) to provide the automated blood cell analysis using blood smear images which is a lengthy process. To overcome these problems, this paper presents an efficient peripheral blood cell image recognition and classification using a combination of the salp swarm algorithm and the cat swarm optimization (SSPSO) algorithm-based optimized convolutional neural networks (SSPSO-CNN) method. This paper uses the CNN approach to classify five peripheral blood cells such as eosinophil, basophil, lymphocytes, monocytes, and neutrophils without any human intervention. The other objective of this paper is to propose an improved version of salp swarm optimizer (SSO) using particle swarm optimization (PSO) to attain competitive classification performance over the database of the blood cell images. In this paper, the CNN uses VGG19 architecture for training purposes. The accuracy of the classification achieved with VGG19 models is 98%. The proposed model based on the CNN approach optimized by SSPSO achieves high classification accuracy and provides automatic peripheral blood cell classification. This method establishes the fine-tuning process to develop a classifier trained using 10 674 images obtained from medical practice. The proposed method augmented the performance in terms of high precision and [Formula: see text]1-score and obtained an overall classification accuracy of 99%.
A Self-Adaptive Weighted Fuzzy c-Means for Mixed-Type Data
Authors: Ren Min , Wang Zhihao , Yang Guangfen 
Published: October 2020

The influence of features on each cluster is not the same in a mixed-type dataset. Based on the rough set and shadow set theories, the fuzzy distribution centroid was defined to represent the clustering center of the discrete feature so that the fuzzy c-means algorithm (FCM) could be extended to cluster the data with both continuous and discrete features. Then, considering the different contributions of the features to each cluster, a new weighted objective function was constructed in accordance with the principles of fuzzy compactness and separation. Because the learning feature weight is the key step in feature-weighted FCM, this paper regarded the feature weight as a variable optimized in the clustering process and put forward a self-adaptive mixed-type weighted FCM. The experimental results showed that the algorithm could be effectively applied to a heterogeneous mixed-type dataset.
The Hepatic Microenvironment Uniquely Protects Leukemia Cells through Induction of Growth and Survival Pathways Mediated by LIPG
Authors: Ye Haobin , Minhajuddin Mohammad , Krug Anna , Pei Shanshan , Chou Chih-Hsing , Culp-Hill Rachel , Ponder Jessica , De Bloois Erik , Schniedewind Björn , Amaya Maria L. , Inguva Anagha , Stevens Brett M. , Pollyea Daniel A. , Christians Uwe , Grimes H. Leighton , D'Alessandro Angelo , Jordan Craig T. 
Published: October 2020

Abstract

Due to the disseminated nature of leukemia, malignant cells are exposed to many different tissue microenvironments, including a variety of extramedullary sites. In the present study, we demonstrate that leukemic cells residing in the liver display unique biological properties and also contribute to systemic changes that influence physiologic responses to chemotherapy. Specifically, the liver microenvironment induces metabolic adaptations via upregulating expression of endothelial lipase in leukemia cells, which not only stimulates tumor cell proliferation through polyunsaturated fatty acid–mediated pathways, but also promotes survival by stabilizing antiapoptotic proteins. Additionally, hepatic infiltration and tissue damage caused by malignant cells induces release of liver-derived enzymes capable of degrading chemotherapy drugs, an event that further protects leukemia cells from conventional therapies. Together, these studies demonstrate a unique role for liver in modulating the pathogenesis of leukemic disease and suggest that the hepatic microenvironment may protect leukemia cells from chemotherapeutic challenge.

Significance:
The studies presented herein demonstrate that the liver provides a microenvironment in which leukemia cells acquire unique metabolic properties. The adaptations that occur in the liver confer increased resistance to chemotherapy. Therefore, we propose that therapies designed to overcome liver-specific metabolic changes will yield improved outcomes for patients with leukemia.
This article is highlighted in the In This Issue feature, p. 211
Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy
Authors: Wu Katherine C. , Wongvibulsin Shannon , Tao Susumu , Ashikaga Hiroshi , Stillabower Michael , Dickfeld Timm M. , Marine Joseph E. , Weiss Robert G. , Tomaselli Gordon F. , Zeger Scott L. 
Published: October 2020

Background
Current approaches fail to separate patients at high versus low risk for ventricular arrhythmias owing to overreliance on a snapshot left ventricular ejection fraction measure. We used statistical machine learning to identify important cardiac imaging and time‐varying risk predictors.

Methods and Results
Three hundred eighty‐two cardiomyopathy patients (left ventricular ejection fraction ≤35%) underwent cardiac magnetic resonance before primary prevention implantable cardioverter defibrillator insertion. The primary end point was appropriate implantable cardioverter defibrillator discharge or sudden death. Patient characteristics; serum biomarkers of inflammation, neurohormonal status, and injury; and cardiac magnetic resonance‐measured left ventricle and left atrial indices and myocardial scar burden were assessed at baseline. Time‐varying covariates comprised interval heart failure hospitalizations and left ventricular ejection fractions. A random forest statistical method for survival, longitudinal, and multivariable outcomes incorporating baseline and time‐varying variables was compared with (1) Seattle Heart Failure model scores and (2) random forest survival and Cox regression models incorporating baseline characteristics with and without imaging variables. Age averaged 57±13 years with 28% women, 66% white, 51% ischemic, and follow‐up time of 5.9±2.3 years. The primary end point (n=75) occurred at 3.3±2.4 years. Random forest statistical method for survival, longitudinal, and multivariable outcomes with baseline and time‐varying predictors had the highest area under the receiver operating curve, median 0.88 (95% CI, 0.75‐0.96). Top predictors comprised heart failure hospitalization, left ventricle scar, left ventricle and left atrial volumes, left atrial function, and interleukin‐6 level; heart failure accounted for 67% of the variation explained by the prediction, imaging 27%, and interleukin‐6 2%. Serial left ventricular ejection fraction was not a significant predictor.

Conclusions
Hospitalization for heart failure and baseline cardiac metrics substantially improve ventricular arrhythmic risk prediction.