bluuebunny/crossref_metadata_2025_split huggingface dataset:
Converting Pediatric Patients and Young Adults From a Shunt to a Third Ventriculostomy: A Multicenter Evaluation
Authors: Hersh David S , Dave Pooja , Weeks Matt , Hankinson Todd C , Karimian Brandon , Staulcup Susan , Van Poppel Mark D , Wait Scott D , Vaughn Brandy N , Klimo Paul 
Published: October 2019

Abstract

BACKGROUND
Endoscopic third ventriculostomy (ETV) is an effective primary treatment for certain forms of hydrocephalus. However, its use in children with an existing shunt is less well known.

OBJECTIVE
To report a multicenter experience in attempting to convert patients from shunt dependence to a third ventriculostomy and to determine predictors of success.

METHODS
Three participating centers provided retrospectively collected information on patients with an attempted conversion from a shunt to an ETV between December 1, 2008, and April 1, 2018. Demographic, clinical, and radiological data were recorded. Success was defined as shunt independence at the last follow-up.

RESULTS
Eighty patients with an existing ventricular shunt underwent an ETV. The median age at the time of the index ETV was 9.9 yr, and 44 (55%) patients were male. The overall success rate was 64% (51/80), with a median duration of follow-up of 2.0 yr (range, 0.1-9.4 yr). Four patients required a successful repeat ETV at a median of 1.7 yr (range, 0.1-5.7 yr) following the index ETV. Only age was predictive of ETV failure on multivariate analysis (odds ratio 0.86 [95% CI 0.78-0.94], P = .005). No patient less than 6 mo of age underwent an ETV, and of the 5 patients between 6 and 12 mo of age, 4 failed.

CONCLUSION
Although not every shunted patient will be a candidate for an ETV, nor will they be successfully converted, an ETV should at least be considered in every child who presents with a shunt malfunction or who has an externalized shunt.
Vertical structure and kinematics of the Galactic outer disk
Authors: Sakai Nobuyuki , Nagayama Takumi , Nakanishi Hiroyuki , Koide Nagito , Kurayama Tomoharu , Izumi Natsuko , Hirota Tomoya , Yoshida Toshihiro , Shibata Katsunori M , Honma Mareki 
Published: October 2019

AbstractWe report on measurements of parallax and proper motion for four 22 GHz water maser sources as part of the VERA Outer Rotation Curve project. All the sources show Galactic latitudes of &gt;2° and Galactocentric distances of &gt;11 kpc at the Galactic longitude range of 95° &lt; l &lt; 126°. The sources trace the Galactic warp reaching to 200–400 pc, and also the signature of the warp to 600 pc toward the north Galactic pole. The new results, along with previous results in the literature, show that the maximum height of the Galactic warp increases with Galactocentric distance. Also, we examined velocities perpendicular to the disk for the sample, and found oscillatory behavior between the vertical velocities and Galactic heights. This behavior suggests the existence of bending (vertical density) waves, possibly induced by a perturbing satellite (e.g., the passage of the Sagittarius dwarf galaxy).
Zika virus in India: past, present and future
Authors: Gupta N , Kodan P , Baruah K , Soneja M , Biswas A 
Published: October 2019

Abstract
Zika virus (ZIKV) is an arthropod-borne flavivirus that presents with acute febrile illness associated with rash, arthralgia and conjunctivitis. After years of sporadic reports in Africa, the three major outbreaks of this disease occurred in Yap Islands (2007), French Polynesia (2013–14) and South Americas (2015–16). Although, serological surveys suggested the presence of ZIKV in India in 1950s, cross-reactivity could not be ruled out. The first four proven cases of ZIKV from India were reported in 2017. This was followed by major outbreaks in the states of Rajasthan and Madhya Pradesh in 2018. Fortunately, the outbreaks in India were not associated with neurological complications. These outbreaks in India highlighted the spread of this disease beyond geographical barriers owing to the growing globalization, increased travel and ubiquitous presence of its vector, the Aedes mosquito. In this review, we discuss the epidemiology, clinical features and management of ZIKV in India.
Estimating Real World Performance of a Predictive Model: A Case-Study in Predicting End-of-Life
Authors: Major Vincent J , Jethani Neil , Aphinyanaphongs Yindalon 
Published: October 2019

AbstractObjectiveThe main criteria for choosing how models are built is the subsequent effect on future (estimated) model performance. In this work, we evaluate the effects of experimental design choices on both estimated and actual model performance.Materials and MethodsFour years of hospital admissions are used to develop a 1 year end-of-life prediction model. Two common methods to select appropriate prediction timepoints (backwards-from-outcome and forwards-from-admission) are introduced and combined with two ways of separating cohorts for training and testing (internal and temporal). Two models are trained in identical conditions, and their performances are compared. Finally, operating thresholds are selected in each test set and applied in a final, ‘real-world’ cohort consisting of one year of admissions.ResultsBackwards-from-outcome cohort selection discards 75% of candidate admissions (n=23,579), whereas forwards-from-admission selection includes many more (n=92,148). Both selection methods produce similar global performances when applied to an internal test set. However, when applied to the temporally defined ‘real-world’ set, forwards-from-admission yields higher areas under the ROC and precision recall curves (88.3 and 56.5% vs. 83.2 and 41.6%).DiscussionA backwards-from-outcome experiment effectively transforms the training data such that it no longer resembles real-world data. This results in optimistic estimates of test set performance, especially at high precision. In contrast, a forwards-from-admission experiment with a temporally separated test set consistently and conservatively estimates real-world performance.ConclusionExperimental design choices impose bias upon selected cohorts. A forwards-from-admission experiment, validated temporally, can conservatively estimate real-world performance.
Bringing Critical Race Praxis into the Study of Electrophysiological Substrate of Sudden Cardiac Death: The Atherosclerosis Risk in Communities (ARIC) Study
Authors: Jensen Kelly , Howell Stacey J. , Phan Francis , Khayyat-Kholghi Maedeh , Wang Linda , Haq Kazi T. , Johnson John , Tereshchenko Larisa G. 
Published: October 2019

AbstractRace is an established risk factor for sudden cardiac death (SCD). We sought to determine whether the association of electrophysiological (EP) substrate with SCD varies between black and white individuals. Participants from the Atherosclerosis Risk in Communities study with analyzable ECGs (n=14,408; age 54±6 y; 74% white) were included. EP substrate was characterized by traditional 12-lead ECG and vectorcardiographic metrics. Two competing outcomes were adjudicated SCD and non-sudden cardiac death (nonSCD). Interaction of ECG metrics with race was studied in Cox proportional hazards and Fine-Gray competing risk models, adjusted for prevalent cardiovascular disease (CVD), risk factors, and incident non-fatal CVD. At the baseline visit linear regression analysis, adjusted for age, sex, and study center, showed black individuals had larger Spatial Ventricular Gradient magnitude by 0.30 (95%CI 0.25-0.34) mV, SAI QRST by 18.4 (13.7-23.0) mV*ms, Cornell voltage by 0.30 (95%CI 0.25-0.35) mV than white individuals. Over a median follow-up of 24.4 years, SCD incidence was higher in black (2.86; 95%CI 2.50-3.28 per 1000 person-years) than white individuals (1.37; 95%CI 1.22-1.53 per 1000 person-years). Black individuals with hypertension had the highest rate of SCD: 4.26; 95%CI 3.66-4.96 per 1000 person-years. Race did not modify associations of EP substrate with SCD and nonSCD. EP substrate does not explain racial disparities in SCD rate.
Improved Alzheimer’s disease versus frontotemporal lobar degeneration differential diagnosis combining EEG and neurochemical biomarkers
Authors: Laton Jorne , Van Schependom Jeroen , Goossens Joery , Wiels Wietse , Sieben Anne , De Deyn Peter Paul , Goeman Johan , Streffer Johannes , van der Zee Julie , Martin Jean-Jacques , Van Broeckhoven Christine , De Vos Maarten , Bjerke Maria , Nagels Guy , Engelborghs Sebastiaan 
Published: October 2019

AbstractIntroductionDistinguishing between two of the most common causes of dementia, Alzheimer disease (AD) and frontotemporal lobar degeneration (FTLD), on clinical diagnostic criteria alone has poor diagnostic accuracy. Promising tools to increase the diagnostic accuracy of AD are the use of cerebrospinal fluid (CSF) biomarkers and electroencephalography (EEG), which is being investigated as a diagnostic tool for neurodegenerative brain disorders. In this study, we investigated the utility of EEG-based biomarkers in comparison and in addition to established neurochemical biomarkers in the AD versus FTLD differential diagnosis.MethodsOur study cohort comprised 37 AD and 32 FTLD patients, of which 19 AD and 11 FTLD had definite diagnoses. All these participants had CSF biomarker analyses resulting in four neurochemical (NCM) biomarkers (Aβ1-42, T-tau, P-tau181 and Nf-L) and underwent 19-channel resting-state EEG. From the EEG spectra, dominant frequency peaks (DFP) were extracted in four regions resulting in four dominant frequencies (in left-temporal, frontal, right-temporal and parieto-occipital regions). This yielded a total of eight features (4 NCM + 4 EEG), which we used to train and test a classifier and assess the diagnostic value of the markers separately (using only the NCM or EEG subset) and combined.ResultsThe classification accuracies were much higher when training and testing on the definite subgroup than on the whole group. Furthermore, we found that the NCM feature subset allowed a better accuracy than the EEG feature subset, both when training and testing on the whole group (NCM 82% vs EEG 72%), as on the definite group only (92% vs 86%). Using both feature subsets together increased the accuracy to 86% in the whole group and 94% in the definite subgroups. Another interesting finding was the presence of two spectral peaks in a considerable number of patients in both groups.ConclusionCombining EEG with neurochemical biomarkers resulted in differential diagnostic accuracies of 86% in clinically diagnosed AD and FTD patients and of 94% in patients having a definite diagnosis. Furthermore, we found evidence that the slowing down of the dominant EEG rhythm might be a gradual appearance of a slow rhythm and fading out of the normal ground rhythm, rather than a gradual slowing down of the ground rhythm. Finally, we have discovered two differences in the occurrence of the dominant EEG frequency: people lacking a clear dominant peak almost all had definite AD, while people with two peaks more often had FTLD. These unexpected but interesting findings need to be explored further.
Point-of-care serodiagnostic test for early-stage Lyme disease using a multiplexed paper-based immunoassay and machine learning
Authors: Joung Hyou-Arm , Ballard Zachary S. , Wu Jing , Tseng Derek K. , Teshome Hailemariam , Zhang Linghao , Horn Elizabeth J , Arnaboldi Paul M. , Dattwyler Raymond J. , Garner Omai B. , Carlo Dino Di , Ozcan Aydogan 
Published: October 2019

ABSTRACTCaused by the tick-borne spirochete, Borrelia burgdorferi, Lyme disease (LD) is the most common vector-borne infectious disease in North America and Europe. Though timely diagnosis and treatment are effective in preventing disease progression, current tests are insensitive in early-stage LD, with a sensitivity <50%. Additionally, the serological testing currently recommended by the US Center for Disease Control has high costs (>$400/test) and extended sample-to-answer timelines (>24 hours). To address these challenges, we created a cost-effective and rapid point-of-care (POC) test for early-stage LD that assays for antibodies specific to seven Borrelia antigens and a synthetic peptide in a paper-based multiplexed vertical flow assay (xVFA). We trained a deep learning-based diagnostic algorithm to select an optimal subset of antigen/peptide targets, and then blindly-tested our xVFA using human samples (N(+) = 42, N(−)= 54), achieving an area-under-the-curve (AUC), sensitivity, and specificity of 0.950, 90.5%, and 87.0% respectively, outperforming previous LD POC tests. With batch-specific standardization and threshold tuning, the specificity of our blind-testing performance improved to 96.3%, with an AUC and sensitivity of 0.963 and 85.7%, respectively.
Randomized controlled trial combining constraint-induced movement therapy and action-observation training in unilateral cerebral palsy: clinical effects and influencing factors of treatment response
Authors: Simon-Martinez Cristina , Mailleux Lisa , Hoskens Jasmine , Ortibus Els , Jaspers Ellen , Wenderoth Nicole , Sgandurra Giuseppina , Cioni Giovanni , Molenaers Guy , Klingels Katrijn , Feys Hilde 
Published: October 2019

AbstractIntroductionConstraint-induced movement therapy (CIMT) improves upper limb (UL) motor execution in unilateral cerebral palsy (uCP). As these children also show motor planning deficits, action-observation training (AOT) might be of additional value. Here, we investigated the combined effect of AOT to CIMT and identified factors influencing treatment response.MethodsForty-four children with uCP (mean 9y6m, SD 1y10m) participated in a 9-day camp wearing a splint for 6 hours/day and were allocated to the CIMT+AOT (n=22) and the CIMT+placebo group (n=22). The CIMT+AOT group received 15 hours of AOT (i.e. video-observation) and executed the observed tasks, whilst the CIMT+AOT group watched videos free of biological motion and executed the same tasks. The primary outcome measure was bimanual performance. Secondary outcomes included measures at body function and activity level assessed before (T1), after (T2) the intervention, and at 6 months follow-up (T3). Influencing factors included behavioural and neurological characteristics.ResultsAlthough no between-groups differences were found (p>0.05), the addition of AOT led to higher gains in children with initially poorer bimanual performance (p=0.02). Both groups improved in all outcome measures after the intervention and retained the gains at follow up (p<0.01). Poor sensory function resulted in larger improvements in the total group (p=0.03) and high amount of mirror movements tended to result in better response to the additional AOT training (p=0.06). Improvements were similar irrespective of the type of brain lesion or corticospinal tract wiring pattern.ConclusionsAdding AOT to CIMT, resulted in better outcome for children with poor motor function and high amount of mirror movements. CIMT with or without AOT seems to be more beneficial for children with poor sensory function.Trial registrationRegistered at ClinicalTrials.gov on 22nd August 2017 (Identifier: NCT03256357).
Independent and Joint Associations of Sedentary Behavior and Physical Activity with Cardiometabolic Health Markers in the 1970 British Birth Cohort
Authors: Huang Bo-Huei , Hamer Mark , Chastin Sebastien , Koster Annemarie , Pearson Natalie , Stamatakis Emmanuel 
Published: October 2019

AbstractObjectiveTo examine the independent and joint associations thigh-worn accelerometry assessed sedentary time and moderate to vigorous physical activity with cardiometabolic health markers.DesignCross-sectional study embedded in the age-46 wave an established birth cohort, the 1970 British Birth Cohort.SettingPopulation-based sample from Great Britain (England, Scotland, and Wales).MethodsOutcome measures included: body mass index, waist-to-hip ratio, blood pressure, glycated hemoglobin, high-density lipoprotein cholesterol, total cholesterol, triglycerides, and c-reactive protein. Sedentary behavior and other physical activity exposures, recorded by a thigh-worn activPAL3 accelerometry, included: daily sedentary time, breaks in sedentary time, daily time spent in moderate-to-vigorous physical activity. Multiple linear regression analyses, multiple logistic regression analyses, and general linear models were conducted as applicable.Results4,634 participants were available for the final analysis. After adjusting for potential confounders and moderate-to-vigorous physical activity, daily sedentary time was positively associated with triglycerides (β=0.052 [0.015, 0.089]) and inversely associated with high-density lipoprotein cholesterol (β=-0.015 [-0.022, -0.010]). Daily prolonged sedentary time (≥ 60 minutes) was positively associated with both glycated hemoglobin and log-transformed c-reactive protein (β=0.240 [0.030, 0.440] and 0.026 [0.007, 0.045], respectively) and inversely associated with systolic blood pressure and high-density lipoprotein cholesterol (β=-0.450 [-0.760, -0.150] and -0.013 [-0.022, -0.003], respectively). After adjusting for potential confounders and daily sedentary time, daily breaks in sedentary time were inversely associated with glycated hemoglobin (β=-0.020 [-0.037, -0.003]), and positively associated with both triglycerides and systolic blood pressure (β=0.006 [0.002, 0.010] and 0.030 [0.002, 0.050], respectively). The joint associations of prolonged sedentary time and moderate-to-vigorous physical activity with the prevalence of diabetes were not statistically significant.ConclusionProlonged sedentary time (≥ 60 minutes) and daily breaks in sedentary time were deleteriously associated with glycated hemoglobin, although we found no evidence that there were joint moderate-to-vigorous physical activity and sitting associations.
Beware (surprisingly common) left-right flips in your MRI data: an efficient and robust method to check MRI dataset consistency using AFNI
Authors: Glen Daniel R. , Taylor Paul A. , Buchsbaum Bradley R. , Cox Robert W. , Reynolds Richard C. 
Published: October 2019

ABSTRACTKnowing the difference between left and right is generally assumed throughout the brain MRI research community. However, we note widespread occurrences of left-right orientation errors in MRI open database repositories where volumes have contained systematic left-right flips between subject EPIs and anatomicals, due to having incorrect or missing file header information. Here we present a simple method in AFNI for determining the consistency of left and right within a pair of acquired volumes for a particular subject; the presence of EPI-anatomical inconsistency, for example, is a sign that dataset header information likely requires correction. The method contains both a quantitative evaluation as well as a visualizable verification. We test the functionality using publicly available datasets. Left-right flipping is not immediately obvious in most cases, so we also present visualization methods for looking at this problem (and other potential problems), using examples from both FMRI and DTI datasets.
COST-EFFECTIVENESS ANALYSIS FOR HPV MITIGATION STRATEGIES IMPLEMENTED IN 2018 IN THE REPUBLIC OF MOLDOVA BASED ON INFECTIOUS DISEASE MODELLING
Authors: Jarynowski Andrzej 
Published: October 2019

SummaryHuman papillomavirus (HPV), is a sexually transmittable virus infection, which is necessary risk factor for developing cervical cancer, first killer in working age women in Moldova. Since 2018 Moldova has modified screening program and vaccination program (mainly externally funded). To assess the performance of the mitigation policy we propose cost-effectiveness analysis according to 2 already implemented strategies. (1) Vaccination of a single age-cohort, although vaccinating a single cohort may not have a substantial effect in other countries with distinct socio-economic situation. (2) Transition to more technologically advance screening ecosystem (changing from Romanowski to Pap smear), which might not necessary be cost-efficient in low resource settings (if GDP per capita will not growth substantially at the same time).We verified that single cohort vaccination is both cost-beneficial (total costs reduction will balance intervention costs around the year 2040) and cost-efficient (with incremental impact in 20 years perspective on the level of 2300 EUR/QALY). Moreover, we found out that single year cohort is more beneficial than 5-years cohort vaccination scenarios in our mathematical model. This behaviour could be explained by a transitional situation in Moldova (HPV epidemic is near outbreak threshold), still small changes of model parameters and initial conditions could cause strong effect in the epidemiology. However, a definitive answer cannot be given with the chosen methodology.Transition between Romanowski -> Pap smear cytology in screening benefits unquestionably in epidemiology e.g. due to higher specificity. However, further maintenance and higher procedure costs could exceed treatment costs, hence intervention costs would gather unacceptable share in whole national limited resources dedicated to public health.
Attacks on genetic privacy via uploads to genealogical databases
Authors: Edge Michael D. , Coop Graham 
Published: October 2019

AbstractDirect-to-consumer (DTC) genetics services are increasingly popular for genetic genealogy, with tens of millions of customers as of 2019. Several DTC genealogy services allow users to upload their own genetic datasets in order to search for genetic relatives. A user and a target person in the database are identified as genetic relatives if the user’s uploaded genome shares one or more sufficiently long segments in common with that of the target person—that is, if the two genomes share one or more long regions identical by state (IBS). IBS matches reveal some information about the genotypes of the target person, particularly if the chromosomal locations of IBS matches are shared with the uploader. Here, we describe several methods by which an adversary who wants to learn the genotypes of people in the database can do so by uploading multiple datasets. Depending on the methods used for IBS matching and the information about IBS segments returned to the user, substantial information about users’ genotypes can be revealed with a few hundred uploaded datasets. For example, using a method we call IBS tiling, we estimate that an adversary who uploads approximately 900 publicly available genomes could recover at least one allele at SNP sites across up to 82% of the genome of a median person of European ancestries. In databases that detect IBS segments using unphased genotypes, approximately 100 uploads of falsified datasets can reveal enough genetic information to allow accurate genome-wide imputation of every person in the database. Different DTC services use different methods for identifying and reporting IBS segments, leading to differences in vulnerability to the attacks we describe. We provide a proof-of-concept demonstration that the GEDmatch database in particular uses unphased genotypes to detect IBS and is vulnerable to genotypes being revealed by artificial datasets. We suggest simple-to-implement suggestions that will prevent the exploits we describe and discuss our results in light of recent trends in genetic privacy, including the recent use of uploads to DTC genetic genealogy services by law enforcement.