bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Methods to Identify Stress Urinary Incontinence in Women With Pelvic Organ Prolapse
Authors: Martin Laura , Ossin David , Schachar Jeffrey , Devakumar Hemikaa , Alas Alexandriah , Davila G. Willy , Reis Isildinha M. , Miao Feng , Hurtado Eric 
Published: May 2020

Objective
The aim of the study was to compare which test is most sensitive in identifying stress urinary incontinence (SUI) in women with pelvic organ prolapse using urodynamics (UDS) as the criterion standard: cough stress test (CST) or pyridium pad test.

Methods
This was a prospective study of women with pelvic organ prolapse stage II or greater who desired surgical management for prolapse. Each patient underwent preoperative urinary testing: UDS, CST, and a 24-hour pyridium pad test.

Results
A total of 84 patients were analyzed. Using UDS as the criterion standard, both the CST and the pyridium pad test showed a fair agreement with UDS outcomes (κ = 0.27 for both tests). There was no statistically significant difference between the CST and pyridium pad test, with estimated sensitivities of 34.4% versus 60.6% (P = 0.791) and specificities of 90.4% versus 84.6% (P = 0.508). The pyridium pad test was found to have a statistically significant difference in identifying the subjective complaint of SUI (38.6%, P = 0.003) compared with other tests. Patients with occult incontinence were identified 42.5%, 17.5%, and 10% of the time during UDS, CST, and pyridium pad testing, respectively.

Conclusion
Our data suggest that the sensitivities of the CST and pyridium pad test for stress incontinence and occult stress incontinence in patients with pelvic organ prolapse are low when compared with UDS as the criterion standard. Urodynamics has an important role in preoperative identification of occult SUI.
Successful Treatment With Lithium in a Refractory Patient With Periodic Catatonic Features: A Case Report
Authors: Sato Yoshiteru , Shinozaki Masataka , Okayasu Hiroaki , Yasui-Furukori Norio , Shimoda Kazutaka 
Published: May 2020

Background
Catatonia is a severe condition in patients. Electroconvulsive treatment or medication with benzodiazepines and/or antipsychotics are regarded as standard treatment.

Case Presentation
We report a case of a patient with catatonic features in whom electroconvulsive treatment and benzodiazepine and/or antipsychotic medications failed to achieve efficacy. Additional treatment with lithium ameliorated catatonia.

Conclusion
We concluded that lithium is an optional treatment in patients in whom standard treatment failed.
Vitamin C for the treatment of COVID-19: A living systematic review
Authors: Baladia Eduard , Pizarro Ana Beatriz , Rada Gabriel 
Published: May 2020

ABSTRACTObjectiveThis living systematic review aims to provide a timely, rigorous and continuously updated summary of the evidence available on the role of vitamin C in the treatment of patients with COVID-19.Data sourcesWe will conduct searches in PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), grey literature and in a centralised repository in L·OVE (Living OVerview of Evidence). L·OVE is a platform that maps PICO questions to evidence from Epistemonikos database. In response to the COVID-19 emergency, L·OVE was adapted to expand the range of evidence it covers and customised to group all COVID-19 evidence in one place. The search will cover the period until the day before submission to a journal.Eligibility criteria for selecting studies and methodsWe adapted an already published common protocol for multiple parallel systematic reviews to the specificities of this question.We will include randomised trials evaluating the effect of vitamin C, as monotherapy or in combination with other drugs, versus placebo or no treatment in patients with COVID-19. Randomised trials evaluating vitamin C in infections caused by other coronaviruses, such as MERS-CoV and SARS-CoV, and non-randomised studies in COVID-19 will be searched in case no direct evidence from randomised trials is found, or if the direct evidence provides low- or very low-certainty for critical outcomes.Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. We will pool the results using meta-analysis and will apply the GRADE system to assess the certainty of the evidence for each outcome.A living, web-based version of this review will be openly available during the COVID-19 pandemic. We will resubmit it every time the conclusions change or whenever there are substantial updates.Ethics and disseminationNo ethics approval is considered necessary. The results of this review will be widely disseminated via peer-reviewed publications, social networks and traditional media.PROSPERO RegistrationSubmitted to PROSPERO (awaiting ID allocation).
Assessment of Hydroxychloroquine and Chloroquine Safety Profiles – A Systematic Review and Meta-Analysis
Authors: Ren Lu , Xu Wilson , Overton James L , Yu Shandong , Chiamvimonvat Nipavan , Thai Phung N. 
Published: May 2020

AbstractBackgroundRecently, chloroquine (CQ) and its derivative hydroxychloroquine (HCQ) have emerged as potential antiviral and immunomodulatory options for the treatment of 2019 coronavirus disease (COVID-19). To examine the safety profiles of these medications, we systematically evaluated the adverse events (AEs) of these medications from published randomized controlled trials (RCTs).MethodsWe systematically searched PubMed, MEDLINE, Cochrane, the Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, and the ClinicalTrials.gov for all the RCTs comparing CQ or HCQ with placebo or other active agents, published before March 31, 2020. The random-effects or fixed-effects models were used to pool the risk estimates relative ratio (RR) with 95% confidence interval (CI) for the outcomes.ResultsThe literature search yielded 23 and 17 studies for CQ and HCQ, respectively, that satisfied our inclusion criteria. Of these studies, we performed meta-analysis on the ones that were placebo-controlled, which included 6 studies for CQ and 14 studies for HCQ. We did not limit our analysis to published reports involving viral treatment alone; data also included the usage of either CQ or HCQ for the treatment of other diseases. The trials for the CQ consisted of a total of 2,137 participants (n=1,077 CQ, n=1,060 placebo), while the trials for HCQ involved 1,096 participants (n=558 HCQ and n=538 placebo). The overall mild or total AEs were statistically higher comparing CQ or HCQ to placebo. The AEs were further categorized into four groups and analyses revealed that neurologic, gastrointestinal, dermatologic, and ophthalmic AEs were higher in participants taking CQ compared to placebo. Although this was not evident in HCQ treated groups, further analyses suggested that there were more AEs attributed to other organ system that were not included in the categorized meta-analyses. Additionally, meta-regression analyses revealed that total AEs was affected by dosage for the CQ group.ConclusionsTaken together, we found that participants taking either CQ or HCQ have more AEs than participants taking placebo. Precautionary measures should be taken when using these drugs to treat COVID-19.
Quantifying the social distancing privilege gap: a longitudinal study of smartphone movement
Authors: Dasgupta Nabarun , Funk Michele Jonsson , Lazard Allison , White Benjamin Eugene , Marshall Stephen W. 
Published: May 2020

BackgroundIn response to the coronavirus pandemic, social distancing became a widely deployed countermeasure in March 2020. We examined whether healthier and wealthier places more successfully implemented social distancing.MethodsMobile device location data were used to quantify declines in movement by county (n=2,633) in the United States of America, comparing April 15–17 (n=65,544,268 traces) to baseline of February 17 - March 7. Negative binomial regression was used to estimate gradients of privilege across eleven healthcare and economic indicators, adjusting for rurality and stay-at-home mandates. External validation used separate venue-specific data from Google Location Services.FindingsCounties without stay-at-home orders showed a mobility decline of −52·3% (95% CI: −50·3%, −54·3%), slightly less than the decline in mandated areas (−60·8%; 95% CI: −60·0%, −61·6%). Strong linear gradients in privilege were observed. After adjusting for rurality and stay-at-home orders, counties in the highest quintile of social distancing mobility restriction had: 52% less uninsured, 47% more primary care providers, 29% more exercise space, 27% less food insecurity, 26% less child poverty, 17% higher incomes, 14% less overcrowding, 9·6% more racial segregation, 8·2% less youth, 7·4% more elderly, and 6·2% less influenza vaccination, compared to least social distancing areas.InterpretationHealthier and wealthier counties displayed a social distancing privilege gap, measured via smartphone mobility change. Structural inequities in this key countermeasure will influence immunity, and disease incidence and mortality.FundingNone
Linear regression analysis of COVID-19 outbreak and control in Henan province caused by the output population from Wuhan
Authors: Yuan yuan Cheng 
Published: May 2020

AbstractObjectivesTo observe outbreak of COVID-19 in Henan province caused by the output population from Wuhan, and high-grade control measures were proformed in Henan province, to study the phase of development and change of the epidemic in Henan province, and to make appropriate inferences about the influence of prevention and control measures and the phase of development of the epidemic.MethodsLinear regression analysis were used to establish a linear regression model with the number of Wuhan roaming people as the dependent variable and the cumulative number of COVID-19 cases in Henan province as the dependent variable, and to calculate and plot the regional distribution of the number of cases in 18 cities in Henan province in accordance with the criteria of whether the number of cases exceeded the expected number.ResultsThere was a linear correlation between the number of people Wuhan roaming and the number of cases, and the linear regression model equation was statistically significant. The cities that exceeded the expected number of cases had a clear spatio-temporal distribution. Geographically, these cities were roughly in the 1 o’clock and 2 o’clock directions in Nanyang, and in terms of time period, the first phase (10 days), the cities that exceeded the expected number of cases changed almost daily. In the second phase (5 days), cities that exceeded the expected number of cases were moderated, and in the third phase (15 days), cities that exceeded the expected number of cases entered the stabilization phase.ConclusionsThe priority cities for COVID-19 prevention and control in Henan province should pay special attention to the cities that have exceeded the expected number of COVID-19 cases, and the implementation of high-level control measures can effectively control the spread of COVID-19 within 2-4 weeks during the early stage of the epidemic.
Suppressing the impact of the COVID-19 pandemic using controlled testing and isolation
Authors: Cohen Kobi , Leshem Amir 
Published: May 2020

AbstractThe Corona virus disease 2019 (COVID-19) has significantly affected lives of people around the world. Today, isolation policy is enforced by identifying infected individuals based on symptoms when these appear or by testing people and quarantining those who have been in close contact with infected people. In addition, many countries have imposed complete or partial lock-downs to control the spread of the disease. While this has resulted in some some success in slowing down the spread of the virus, lock-downs as well as widespread quarantine have devastating effects on the economy and social life. Thus, governments are urgently looking for efficient strategies to significantly relax lock-downs, while still controlling the spread of the virus. We argue that this can be done by using active feedback to control testing for infection by actively testing individuals with a high probability of being infected. We develop an active testing strategy to achieve this goal, and demonstrate that it would have tremendous success in controlling the spread of the virus on one million people, using 3,000 tests per day. Our results show up to a 50% reduction in quarantine rate and morbidity rate in typical settings as compared to existing methods.
Who maintains a good mental health in a locked-down country? A French nationwide online survey of 11,391 participants
Authors: Haesebaert Frédéric , Haesebaert Julie , Zante Elodie , Franck Nicolas 
Published: May 2020

AbstractBackgroundLockdown measures induce massive societal perturbations and can differentially affect mental wellbeing in populations depending on individual determinants. We aim at investigating the sociodemographic and environmental determinants of wellbeing during global lockdown due to the SARS-CoV-2 pandemic.MethodsA nationwide survey was sent online to the French population during the second week of global lockdown during the SARS-CoV-2 pandemic, between March 25, 2020 and March 30, 2020. Volunteers were recruited on social networks, online newspapers, and mailing lists. We analyzed sociodemographic and environmental variables obtained from a co-built and evidence-based questionnaire. Mental wellbeing was measured by the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS).ResultsWe analyzed data from 11,391 (56.6%) out of 20,235 participants who answered the questionnaire. After weighting data on age and gender distributions, 5415 of the respondents were male (47.5%), 5932 were female (52.1%), and 52 (0.5%) registered as “other.” Multivariate analyses indicated that various factors impacted mental wellbeing. Being female (p < .001), a student (p < .001), disabled (p = .001), or having no access to outdoor space (p = 0.02) was associated with lower WEMWBS scores. Conversely, being employed (p < .001) and having more social contacts (p < .01) were both associated with greater mental wellbeing.InterpretationWe revealed differences in mental wellbeing among the French population at the early stages of global lockdown. Authorities should consider the particular vulnerability of students, persons with disabilities, and those living in constrained housing conditions that could increase the negative impact of lockdown on mental health.
The impact of strict public health measures on COVID-19 transmission in developing countries: The case of Kuwait
Authors: Al-Shammari Abdullah A. , Ali Hamad , Alahmad Barrak , Al-Refaei Faisal H. , Al-Sabah Salman , Jamal Mohammad H. , Alshukry Abdullah , Al-Duwairi Qais , Al-Mulla Fahd 
Published: May 2020

AbstractBackgroundMany countries have succeeded in curbing the outbreak of COVID-19 by employing strict public health control measures. However, little is known about the effectiveness of such control measures in curbing the outbreak in developing countries. In this study, we seek to assess the impact of various outbreak control measures in Kuwait to gain more insight into the outbreak progression and the associated healthcare burden.MethodsWe use a SEIR mathematical model to simulate the epidemic outbreak of COVID-19 in Kuwait with additional testing and hospitalization compartments. We use a NBD observational framework for confirmed case and death counts. We forecast model trajectories and assess the effectiveness of public health interventions by using maximum likelihood to estimate both the basic and effective reproduction numbers.ResultsOur results indicate that the early strict control measures had the effect of delaying the intensity of the outbreak but were unsuccessful in reducing the effective reproduction number below 1. Forecasted model trajectories suggest a need to expand the healthcare system capacity to cope with the associated epidemic burden of such ineffectiveness.ConclusionStrict public health interventions may not always lead to the same desired outcomes, particularly when population and demographic factors are not accounted for as in the case in some developing countries. Real-time dynamic modeling can provide an early assessment of the impact of such control measures as well as a forecasting tool to support outbreak surveillance and the associated healthcare expansion planning.SUMMARY BOXWhat is already known on the subject?Evidence is accumulating about the positive impact of various strict public health interventions on the transmission of COVID-19 in the developed world. Currently, however, many developing countries are still struggling to control and suppress the initial wave of the outbreak. In particular, less attention is given to assessing the impact of taking similar strict control measures.What does this study add?Our modeling study provides the first evidence showing how the imposition of strict public health measures has not led to a reduction in COVID-19 transmission in Kuwait. It highlights the importance of performing systematic epidemiological and public health investigations of the population factors which may limit the effectiveness of standard public health interventions in developing countries. It also emphasizes the utility of adopting dynamic modeling approaches for intervention assessment and healthcare capacity re-adjustment at the earliest stages of the outbreak.
Assessing COVID-19 Risk, Vulnerability and Infection Prevalence in Communities
Authors: Kiaghadi Amin , Rifai Hanadi S. , Liaw Winston 
Published: May 2020

AbstractBackgroundThe spread of coronavirus in the United States with nearly one million confirmed cases and over 53,000 deaths has strained public health and health care systems. While many have focused on clinical outcomes, less attention has been paid to vulnerability and risk of infection. In this study, we developed a planning tool that examines factors that affect vulnerability to COVID-19.MethodsAcross 46 variables, we defined five broad categories: 1) access to medical, 2) underlying health conditions, 3) environmental exposures, 4) vulnerability to natural disasters, and 5) sociodemographic, behavioral, and lifestyle factors. We also used reported rates for morbidity, hospitalization, and mortality in other regions to estimate risk at the county (Harris County) and census tract levels.AnalysisA principal component analysis was undertaken to reduce the dimensions. Then, to identify vulnerable census tracts, we conducted rank-based exceedance and K-means cluster analyses.ResultsOur study showed a total of 722,357 (~17% of the County population) people, including 171,403 between the ages of 45-65 (~4% of County’s population), and 76,719 seniors (~2% of County population), are at a higher risk based on the aforementioned categories. The exceedance and K-means cluster analysis demonstrated that census tracts in the northeastern, eastern, southeastern and northwestern regions of the county are at highest risk. The results of age-based estimations of hospitalization rates showed the western part of the County might be in greater need of hospital beds. However, cross-referencing the vulnerability model with the estimation of potential hospitalized patients showed that part of the County has the least access to medical facilities.ConclusionPolicy makers can use this planning tool to identify neighborhoods at high risk for becoming hot spots; efficiently match community resources with needs, and ensure that the most vulnerable have access to equipment, personnel, and medical interventions.
Protocol for a systematic review of qualitative and quantitative effects of cardiovascular disease risk communication using ‘heart age’ concepts
Authors: Bonner Carissa , Batcup Carys , Cornell Samuel , Fajardo Michael Anthony , Doust Jenny , McGeechan Kevin , Trevena Lyndal 
Published: May 2020

AbstractIntroductionThe concept of ‘heart age’ is increasingly used for health promotion and alongside clinical guidelines for cardiovascular disease (CVD) prevention. These tools have been used by millions of consumers around the world, and many health organisations promote them as a way of encouraging lifestyle change. However, heart age tools vary widely in terms of their underlying risk models and display formats, the effectiveness of these tools compared to other CVD risk communication formats remains unclear, and doctors have raised concerns over their use to expand testing of healthy low risk adults.Methods and analysisWe aim to systematically review both qualitative and quantitative evidence of the effects of heart age when presented to patients or consumers for the purpose of CVD risk communication. Four electronic databases will be search until April 2020 and reference lists from similar review articles will be searched. Studies will be considered eligible if they meet the following criteria: (1) published from the inception of the database to April 2020, in peer-reviewed journals, (2) used an adult population (over 18 years of age) or, if not explicit regarding age, are clear that participants were not children, (3) present the concept of ‘heart age’ to patients or consumers for the purpose of CVD risk communication, (4) report qualitative themes or quantitative outcomes relating to psychological and/or behavioural responses to heart age. Two reviewers will perform study selection, data extraction and quality assessment. Reporting of the review will be informed by Preferred Reporting Items for Systematic Review and Meta-Analysis guidance.Ethics and disseminationEthical approval is not required as it is a protocol for a systematic review. Findings will be disseminated through peer-reviewed publications and conference presentations.
A comparative meta andin silicoanalysis of differentially expressed genes and proteins in canine and human bladder cancer
Authors: Gambim Victoria Vitti , Laufer-Amorim Renee , Alves Ricardo Fonseca , Grieco Valeria , Fonseca-Alves Carlos Eduardo 
Published: May 2020

AbstractCanine and human bladder cancer present several similar anatomical, morphological and molecular characteristics and dogs can be considered a model for human bladder cancer. However, the veterinary literature lacks information regarding cross validation analysis between human and canine large-scale data. Therefore, this research aimed to perform a meta-analysis of the previous canine literature on bladder cancer, identifying genes and protein previously evaluated in these studies. Besides that, we also performed a cross validation of the canine transcriptome data and the human data from The Cancer Genome Atlas (TCGA) to identify potential markers for both species. It was performed a meta-analysis using the following indexing terms “bladder” AND “carcinoma” AND “dog” in different international databases and 385 manuscripts were identified in our initial search. Then, several inclusion criteria were applied and only 25 studies met these criteria. Among these studies, five presented transcriptome data and 20 evaluated only isolated genes or proteins.Regarding the studies involving isolated protein analysis, HER-2 protein was the most studied (3/20), followed by TAG-72 (2/20), COX-2 (2/2), Survivin (2/2) and CK7 (2/2). Regarding the cross-validation analysis of human and canine transcriptome data, we identified 35 deregulated genes, includingERBB2, TP53, EGFRandE2F2. Our results demonstrated that the previous canine literature on bladder cancer was focused on the evaluation of isolated markers with no association with patient’s survival. Besides that, the lack of information regarding tumor muscle-invasion can be considered an important limitation when comparing human and canine bladder tumors. Our in-silico analysis involving canine and human transcriptome data provided several genes with potential to be markers for both human and canine bladder tumors and these genes should be considered for future studies on canine bladder cancer.