bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teprotumumab reduces extraocular muscle and orbital fat volume in thyroid eye disease
Authors: Jain Amy Patel , Gellada Norman , Ugradar Shoaib , Kumar Ada , Kahaly George , Douglas Raymond 
Published: November 2020

PurposeThyroid eye disease (TED) is a progressive, debilitating and potentially vision-threatening autoimmune disease. Teprotumumab, a novel human monoclonal antibody, has been shown to reverse the clinical manifestations of TED. Patients receiving teprotumumab have been shown in two multicenter, randomized placebo-controlled trials to have decreased proptosis, diplopia and inflammation after 24 weeks of treatment. This study aims to analyse volumetric and inflammatory changes on orbital imaging prior to and after teprotumumab treatment from one of these trials.DesignRetrospective review.SubjectsSix patients enrolled in the phase III teprotumumab clinical trial (OPTIC, NCT03298867) with active TED who received 24 weeks of teprotumumab and had pre- and post-treatment orbital imaging (CT or MRI). Additionally, 12 non-TED patients (24 orbits) were analysed as a comparative control group.Methods3D volumetric calculations of the extraocular muscles (EOMs), orbital fat, and bony orbit were measured using previously validated image processing software. 3D volumetric results and changes in EOM inflammation were compared with clinical measurements of TED.ResultsTotal EOM volume within each orbit was markedly reduced post-teprotumumab in all patients (n=six patients, 12/12 orbits, p<0.02). There was no statistical difference in post-treatment EOM volume when compared to non-TED controls. Total orbital fat volume was also reduced in 11 of 12 studied orbits (n=six patients, p=0.04). Overall EOM inflammation based on MRI signal intensity ratio was reduced in 8/8 orbits (n=four patients, p<0.01).ConclusionOrbital imaging demonstrated decreased EOM volumes and orbital fat tissue volumes after teprotumumab treatment.
Social media and vaccine hesitancy
Authors: Wilson Steven Lloyd , Wiysonge Charles 
Published: November 2020

BackgroundUnderstanding the threat posed by anti-vaccination efforts on social media is critically important with the forth coming need for world wide COVID-19 vaccination programs. We globally evaluate the effect of social media and online foreign disinformation campaigns on vaccination rates and attitudes towards vaccine safety.MethodsWe use a large-n cross-country regression framework to evaluate the effect of social media on vaccine hesitancy globally. To do so, we operationalize social media usage in two dimensions: the use of it by the public to organize action (using Digital Society Project indicators), and the level of negatively oriented discourse about vaccines on social media (using a data set of all geocoded tweets in the world from 2018-2019). In addition, we measure the level of foreign-sourced coordinated disinformation operations on social media ineach country (using Digital Society Project indicators). The outcome of vaccine hesitancy is measured in two ways. First, we use polls of what proportion of the public per country feels vaccines are unsafe (using Wellcome Global Monitor indicators for 137 countries). Second, we use annual data of actual vaccination rates from the WHO for 166 countries.ResultsWe found the use of social media to organise offline action to be highly predictive of the belief that vaccinations are unsafe, with such beliefs mounting as more organisation occurs on social media. In addition, the prevalence of foreign disinformation is highly statistically and substantively significant in predicting a drop in mean vaccination coverage over time. A 1-point shift upwards in the 5-point disinformation scale is associated with a 2-percentage point drop in mean vaccination coverage year over year. We also found support for the connection of foreign disinformation with negative social media activity about vaccination. The substantive effect of foreign disinformation is to increase the number of negative vaccine tweets by 15% for the median country.ConclusionThere is a significant relationship between organisation on social media and public doubts of vaccine safety. In addition, there is a substantial relationship between foreign disinformation campaigns and declining vaccination coverage.
Simulation study to demonstrate biases created by diagnostic criteria of mental illnesses: major depressive episodes, dysthymia, and manic episodes
Authors: Chao Yi-Sheng , Lin Kuan-Fu , Wu Chao-Jung , Wu Hsing-Chien , Hsu Hui-Ting , Tsao Lien-Cheng , Cheng Yen-Po , Lai Yi-Chun , Chen Wei-Chih 
Published: November 2020

ObjectivesComposite diagnostic criteria alone are likely to create and introduce biases into diagnoses that subsequently have poor relationships with input symptoms. This study aims to understand the relationships between the diagnoses and the input symptoms, as well as the magnitudes of biases created by diagnostic criteria and introduced into the diagnoses of mental illnesses with large disease burdens (major depressive episodes, dysthymic disorder, and manic episodes).SettingsGeneral psychiatric care.ParticipantsWithout real-world data available to the public, 100 000 subjects were simulated and the input symptoms were assigned based on the assumed prevalence rates (0.05, 0.1, 0.3, 0.5 and 0.7) and correlations between symptoms (0, 0.1, 0.4, 0.7 and 0.9). The input symptoms were extracted from the diagnostic criteria. The diagnostic criteria were transformed into mathematical equations to demonstrate the sources of biases and convert the input symptoms into diagnoses.Primary and secondary outcomesThe relationships between the input symptoms and diagnoses were interpreted using forward stepwise linear regressions. Biases due to data censoring or categorisation introduced into the intermediate variables, and the three diagnoses were measured.ResultsThe prevalence rates of the diagnoses were lower than those of the input symptoms and proportional to the assumed prevalence rates and the correlations between the input symptoms. Certain input or bias variables consistently explained the diagnoses better than the others. Except for 0 correlations and 0.7 prevalence rates of the input symptoms for the diagnosis of dysthymic disorder, the input symptoms could not fully explain the diagnoses.ConclusionsThere are biases created due to composite diagnostic criteria and introduced into the diagnoses. The design of the diagnostic criteria determines the prevalence of the diagnoses and the relationships between the input symptoms, the diagnoses, and the biases. The importance of the input symptoms has been distorted largely by the diagnostic criteria.
Trends in the diagnosis of diseases of despair in the United States, 2009–2018: a retrospective cohort study
Authors: Brignone Emily , George Daniel R , Sinoway Lawrence , Katz Curren , Sauder Charity , Murray Andrea , Gladden Robert , Kraschnewski Jennifer L 
Published: November 2020

Background and objectiveIncreasing mortality and decreasing life expectancy in the USA are largely attributable to accidental overdose, alcohol-related disease and suicide. These ‘deaths of despair’ often follow years of morbidity, yet little is known about trends in the clinical recognition of ‘diseases of despair’. The objective of this study is to characterise rates of clinically documented diseases of despair over the last decade and identify sociodemographic risk factors.DesignRetrospective study using a healthcare claims database with 10 years of follow-up.SettingParticipants resided nationwide but were concentrated in US states disproportionately affected by deaths of despair, including Pennsylvania, West Virginia and Delaware.ParticipantsCohort included 12 144 252 participants, with no restriction by age or gender.Outcome measuresDiseases of despair were defined as diagnoses related to alcohol misuse, substance misuse and suicide ideation/behaviours. A lookback period was used to identify incident diagnoses. Annual and all-time incidence/prevalence estimates were computed, along with risk for current diagnosis and patterns of comorbidity.Results515 830 participants received a disease of despair diagnosis (58.5% male, median 36 years). From 2009 to 2018, the prevalence of alcohol-related, substance-related and suicide-related diagnoses respectively increased by 37%, 94%, and 170%. Ages 55–74 had the largest increase in alcohol/substance-related diagnoses (59% and 172%). Ages <18 had the largest increase in suicide-related diagnoses (287%). Overall, odds for current-year diagnosis were higher among men (adjusted OR (AOR) 1.49, 95% CI 1.47 to 1.51), and among those with Affordable Care Act or Medicare coverage relative to commercial coverage (AOR 1.30, 1.24 to 1.37; AOR 1.51, 1.46 to 1.55).ConclusionsIncreasing clinical rates of disease of despair diagnoses largely mirror broader societal trends in mortality. While the opioid crisis remains a top public health priority, parallel rises in alcohol-related diagnoses and suicidality must be concurrently addressed. Findings suggest opportunities for healthcare systems and providers to deploy targeted prevention to mitigate the progression of morbidities towards mortality.
Association between birth interval and wasting in children under 5 years of age in Ethiopia: a systematic review and meta-analysis protocol
Authors: Kassaw Mesfin Wudu , Abebe Ayele Mamo , Abate Biruk Beletew , Kassie Ayelign Mengesha , Açık Murat 
Published: November 2020

IntroductionAccording to the UNICEF, WHO and World Bank joint estimation, 1 in every 13 children suffered from wasting globally. The highest burden of undernutrition recorded in Asia and Africa. Wasting remains a considerable public health problem in Ethiopia despite the introduction of exhaustive nutritional programmes. As reported in the literature, the prevalence of wasting in Ethiopia has remained high over the last four decades. In Ethiopia, more than one-third of child deaths are associated with malnutrition. The current nutritional interventions implemented in Ethiopia need to be evidence based. For this purpose, systematic review is preferable as it can present a more reliable and precise estimate than individual studies. The aim of this review is to assess the pooled prevalence of wasting and its association with birth interval in Ethiopia.MethodologyStudies published after 20 January 2012 will be retrieved from databases, mainly PubMed/Medline, Scopus, Embase, CINAHL and HINARI. The articles retrieved from databases will be selected after reading the title, abstract and full text. Three reviewers will independently assess the quality of each study using both the Joanna Briggs Institute and Ottawa Scale critical appraisal checklists. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist will be used to maintain scientific strength. Funnel plots, Egger’s test and Begg’s test will be used to deal with publication bias, and I2, forest plots and Cochrane’s Q square statistics will be used for heterogeneity. Potential causes of heterogeneity will be explored through sensitivity and subgroup analyses. Because heterogeneity among studies is inevitable, given the wide geographical area and variety of study designs, the Der-Simonian and Laird random-effects model will be used. The presence of a statistical association between birth interval and wasting will be declared if the p value is <0.05 with the 95% CI.Ethics and disseminationEthical issues will not be applicable to this review and meta-analysis. This review and meta-analysis will report the pooled prevalence of wasting and its association with birth interval in Ethiopia. Effort will be made to publish the findings in a peer-reviewed journal such as the Ethiopian Journal of Health and Development, and the findings will be presented at national conferences. A hard copy will also be sent to Woldia University and Debre Berhan University.
Prediction of type 2 diabetes mellitus using fasting plasma glucose and HbA1c levels among individuals with impaired fasting plasma glucose: a cross-sectional study in Thailand
Authors: Sitasuwan Tullaya , Lertwattanarak Raweewan 
Published: November 2020

ObjectivesAbout 11%–30% of individuals with impaired fasting plasma glucose (IFG) have type 2 diabetes mellitus (T2DM), diagnosed by the 75 g oral glucose tolerance test (75 g OGTT). This study investigated (1) the prevalence and cut-off levels for fasting plasma glucose (FPG) and glycated haemoglobin A1c (HbA1c) in IFG individuals that most effectively predict the presence of T2DM diagnosed by a 75 g OGTT; (2) the predictors associated with T2DM; and (3) the pathophysiological characteristics of patients with IFG.Materials and methodsA single-centre, cross-sectional study was conducted in a primary care setting. A standard 75 g OGTT was performed on 123 subjects with IFG. Their beta-cell function and insulin resistance were calculated through plasma glucose and insulin levels monitored during the 75 g OGTT.ResultsIn the IFG subjects, the prevalence of T2DM using the 2-hour postload plasma glucose (2hPG) criterion was 28.5%. Pre-diabetes and normal glucose metabolism were found in 48.7% and 22.8%, respectively, by 75 g OGTT. An HbA1c level ≥6.0% or FPG ≥5.9 mmol/L were the optimal cut-off thresholds for the prediction of the presence of T2DM. HbA1c had a sensitivity of 76.7% and specificity of 55.7% (95% CI 57.7% to 90.1% and 95% CI 43.3% to 67.6%, respectively), while FPG had a sensitivity of 85.7% and specificity of 23.9% (95% CI 69.7% to 95.2% and 95% CI 15.4% to 34.1%, respectively). The presence of metabolic syndrome, a higher HbA1c and higher FPG levels were associated with the risk of T2DM in the Thai IFG population.ConclusionsAlmost one-third of the people with IFG had T2DM diagnosed by the 2hPG criterion. HbA1c was more effective than FPG in predicting the presence of T2DM in the IFG subjects. IFG individuals with HbA1c≥6.0% or FPG≥5.9 mmol/L should be advised to undergo a 75 g OGTT to detect T2DM earlier than otherwise.
Multicentre longitudinal study of fluid and neuroimaging BIOmarkers of AXonal injury after traumatic brain injury: the BIO-AX-TBI study protocol
Authors: Graham Neil Samuel Nyholm , Zimmerman Karl A , Bertolini Guido , Magnoni Sandra , Oddo Mauro , Zetterberg Henrik , Moro Federico , Novelli Deborah , Heslegrave Amanda , Chieregato Arturo , Fainardi Enrico , Fleming Joanne M , Garbero Elena , Abed-Maillard Samia , Gradisek Primoz , Bernini Adriano , Sharp David J 
Published: November 2020

Introduction and aimsTraumatic brain injury (TBI) often results in persistent disability, due particularly to cognitive impairments. Outcomes remain difficult to predict but appear to relate to axonal injury. Several new approaches involving fluid and neuroimaging biomarkers show promise to sensitively quantify axonal injury. By assessing these longitudinally in a large cohort, we aim both to improve our understanding of the pathophysiology of TBI, and provide better tools to predict clinical outcome.Methods and analysisBIOmarkers of AXonal injury after TBI is a prospective longitudinal study of fluid and neuroimaging biomarkers of axonal injury after moderate-to-severe TBI, currently being conducted across multiple European centres. We will provide a detailed characterisation of axonal injury after TBI, using fluid (such as plasma/microdialysate neurofilament light) and neuroimaging biomarkers (including diffusion tensor MRI), which will then be related to detailed clinical, cognitive and functional outcome measures. We aim to recruit at least 250 patients, including 40 with cerebral microdialysis performed, with serial assessments performed twice in the first 10 days after injury, subacutely at 10 days to 6 weeks, at 6 and 12 months after injury.Ethics and disseminationThe relevant ethical approvals have been granted by the following ethics committees: in London, by the Camberwell St Giles Research Ethics Committee; in Policlinico (Milan), by the Comitato Etico Milano Area 2; in Niguarda (Milan), by the Comitato Etico Milano Area 3; in Careggi (Florence), by the Comitato Etico Regionale per la Sperimentazione Clinica della Regione Toscana, Sezione area vasta centro; in Trento, by the Trento Comitato Etico per le Sperimentazioni Cliniche, Azienda Provinciale per i Servizi Sanitari della Provincia autonoma di Trento; in Lausanne, by the Commission cantonale d’éthique de la recherche sur l’être humain; in Ljubljana, by the National Medical Ethics Committee at the Ministry of Health of the Republic of Slovenia. The study findings will be disseminated to patients, healthcare professionals, academics and policy-makers including through presentation at conferences and peer-reviewed publications. Data will be shared with approved researchers to provide further insights for patient benefit.Trial registration numberNCT03534154.
Caffeine, exercise physiology, and time-trial performance: no effect ofADORA2AorCYP1A2genotypes
Authors: Glaister Mark , Chopra Kiran , Pereira De Sena Ana Luís , Sternbach Cassie , Morina Liridon , Mavrommatis Yiannis 
Published: November 2020

The aim of this study was to investigate the influence of ADORA2A and CYP1A2 genotypes on the physiological and ergogenic effects of caffeine. Sixty-six male cyclists were screened for ADORA2A and CYP1A2 genotypes; with 40 taking part subsequently in a randomised, double-blind, placebo-controlled study. Trial 1 was used to establish the oxygen uptake−power output relationship and maximal oxygen uptake. In trials 2 and 3, participants ingested 5 mg·kg−1of caffeine or placebo 1 h before completing a submaximal incremental cycling test, followed by a time-trial (∼30 min). Relative to placebo, caffeine led to a significant reduction in time to complete the time-trial (caffeine: 29.7 ± 1.8 min; placebo: 30.8 ± 2.3 min); but there was no effect of genotype. During submaximal exercise, caffeine reduced mean heart rate by 2.9 ± 3.7 beats·min−1, with effects dissipating as exercise intensity increased. Caffeine also significantly reduced perceived exertion by 0.5 ± 0.8, and increased blood lactate by 0.29 ± 0.42 mmol·L−1, respiratory exchange ratio by 0.013 ± 0.032, and minute ventilation by 3.1 ± 6.8 L·min−1. Nonetheless, there were no supplement × genotype interactions. In conclusion, caffeine influences physiological responses to submaximal exercise and improves time-trial performance irrespective of ADORA2A or CYP1A2 genotypes.Novelty: Caffeine affects physiological responses at rest and during submaximal exercise independent of ADORA2A or CYP1A2 genotypes. Variability in the effect of caffeine on time-trial performance is not explained by ADORA2A or CYP1A2 genotypes.
Optical tweezers in single-molecule experiments
Authors: Zaltron Annamaria , Merano Michele , Mistura Giampaolo , Sada Cinzia , Seno Flavio 
Published: November 2020

Abstract
In the last decades, optical tweezers have progressively emerged as a unique tool to investigate the biophysical world, allowing to manipulate and control forces and movements of one molecule at a time with unprecedented resolution. In this review, we present the use of optical tweezers to perform single-molecule force spectroscopy investigations from an experimental perspective. After a comparison with other single-molecule force spectroscopy techniques, we illustrate at an introductory level the physical principles underlying optical trapping and the main experimental configurations employed nowadays in single-molecule experiments. We conclude with a brief summary of some remarkable results achieved with this approach in different biological systems, with the aim to highlight the great variety of experimental possibilities offered by optical tweezers to scientists interested in this research field.
An integrated biostratigraphic, seismic reservoir characterization and numerical stratigraphic forward modelling approach to imaging drowned carbonate platforms: a case study from eastern Indonesia
Authors: Gold David P. , Baillard Francois , Rathore Rajat , Zhang Zhengmin , Arbi Safrin 
Published: November 2020

Abstract

The New Guinea Limestone Group was deposited across much of New Guinea, including the Indonesian provinces of West Papua and Papua, as part of a widespread shallow-water carbonate platform during the Paleogene and Neogene. This platform was drowned beneath deeper-water strata from the Middle to Late Miocene. Review of biostratigraphic and seismic data from the Aru Basin, offshore New Guinea, reveals a drowning succession
c.
600 m thick deposited during a drowning event that lasted around 4 Ma. The objective of this study was to create a well-to-seismic tie from a single well in the study area using biostratigraphic, seismic and log data. The well-to-seismic tie was built to constrain a new velocity model to better image the drowned carbonate platform and understand the reservoir potential of the drowning succession in the zone of interest using two complimentary techniques: seismic reservoir characterization and numerical stratigraphic forward modelling. The well-to-seismic tie was achieved by matching significant biostratigraphic events, such as unconformities, with seismic horizons using stratigraphy-to-seismic. Modern stratigraphic and seismic reservoir characterization techniques, including stratigraphy-to-seismic, numerical forward modelling, velocity model building, rock physics and seismic inversion, were applied to predict rock properties such as lithology and porosity within the drowning succession.
NNBench-X
Authors: Xie Xinfeng , Hu Xing , Gu Peng , Li Shuangchen , Ji Yu , Xie Yuan 
Published: November 2020

The tremendous impact of deep learning algorithms over a wide range of application domains has encouraged a surge of neural network (NN) accelerator research. Facilitating the NN accelerator design calls for guidance from an evolving benchmark suite that incorporates emerging NN models. Nevertheless, existing NN benchmarks are not suitable for guiding NN accelerator designs. These benchmarks are either selected for general-purpose processors without considering unique characteristics of NN accelerators or lack quantitative analysis to guarantee their completeness during the benchmark construction, update, and customization.
In light of the shortcomings of prior benchmarks, we propose a novel benchmarking methodology for NN accelerators with a quantitative analysis of application performance features and a comprehensive awareness of software-hardware co-design. Specifically, we decouple the benchmarking process into three stages: First, we characterize the NN workloads with quantitative metrics and select the representative applications for the benchmark suite to ensure diversity and completeness. Second, we refine the selected applications according to the customized model compression techniques provided by specific software-hardware co-design. Finally, we evaluate a variety of accelerator designs on the generated benchmark suite. To demonstrate the effectiveness of our benchmarking methodology, we conduct a case study of composing an NN benchmark from the TensorFlow Model Zoo and compress these selected models with various model compression techniques. Finally, we evaluate compressed models on various architectures, including GPU, Neurocube, DianNao, and Cambricon-X.