bluuebunny/crossref_metadata_2025_split huggingface dataset:
What are the situational and behavioral factors associated with condomless anal sex without pre-exposure prophylaxis in MSM?
Authors: Di Ciaccio Marion , Sagaon-Teyssier Luis , Mimi Mohamed , Suzan-Monti Marie , Protiere Christel , Castro Daniela Rojas , Meyer Laurence , Tremblay Cécile , Chidiac Christian , Capitant Catherine , Préau Marie , Molina Jean-Michel , Spire Bruno 
Published: April 2020

Objective:
This study aimed to identify situational and behavioral factors associated with condomless anal sex without on-demand PrEP in the open-label extension (OLE) study of the ANRS-IPERGAY trial.

Methods:
Univariable and multivariable modified Poisson regressions with a generalized estimating equation (GEE) were used. The attributable risk percentage for each explanatory variable and for condomless anal sex without PrEP was calculated.

Results:
In the OLE, 19% of anal intercourses were unprotected (i.e. no PrEP or condom). Of these, 85% were attributable to sexual intercourse with main partners and 47% with HIV-negative partners. The following factors were positively associated with condomless anal sex without PrEP: a depressive episode in the previous 12 months [aR (95% CI), P-value: 1.49 (1.02--2.17), 0.039], a higher number of sexual intercourses during the previous 4 weeks [1.01 [1.002--1.02], 0.014], and sexual intercourses under the influence of alcohol [1.45 (1.10--1.92), 0.008]. By contrast, condomless anal sex without PrEP was less frequent during sexual intercourses with known casual, unknown casual and multiple partners [0.20 (0.14--0.30), <0.001; 0.10 (0.05--0.20), <0.001; 0.11 (0.05--0.29), <0.001, respectively], as well as with HIV+ partners with an undetectable viral load and HIV+ partners with a detectable/unknown viral load or unknown serology status [0.57 (0.38--0.86), 0.007; 0.52 (0.32--0.87), 0.012, respectively].

Conclusion:
Choosing to have condomless anal sex without PrEP depends primarily on the sexual partner's characteristics (level of intimacy, serological status). This reflects a form of rationality in HIV risk management. However, our results raise questions about the true efficacy of managing HIV risk using this approach.
Radical Resection Versus Simple Cholecystectomy for Gallbladder Carcinoma: A Systematic Review and Meta-analysis
Authors: Liang Yu-Chuan , Li Shi-Gong , Wang Jin-Yan 
Published: April 2020

Purpose:
The goal of this study was to review relevant randomized controlled trials or case-control studies to determine radical resection compared with simple cholecystectomy for gallbladder carcinoma.

Methods:
Using appropriate keywords, we identified relevant studies using PubMed, the Cochrane Library, and Embase. Key pertinent sources in the literature were also reviewed, and all articles published through September 2019 were considered for inclusion. For each study, we assessed odds ratios, mean difference, and 95% confidence interval (CI) to assess and synthesize outcomes.

Results:
We included 19 studies with a total of 1791 patients in the radical resection group and 3014 in the simple cholecystectomy group. Compared with simple cholecystectomy, radical resection significantly improved the 5-year disease-free survival rate [relative risk (RR): 1.36, 95% CI: 1.02-1.81], the 1-year overall survival (OS) rate (RR: 1.27, 95% CI: 1.04-1.54), and the 3-year OS rate (RR: 1.71, 95% CI: 1.02-2.85). However, there was no significant difference in the recurrence rate (RR: 1.04, 95% CI: 0.87-1.23), and in the 5-year OS rate (RR: 1.05, 95% CI: 0.92-1.19) between the 2 groups.

Conclusion:
Compared with simple cholecystectomy, radical resection has advantages in improving the 5-year disease-free survival rate, and the 1- and 3-year OS rate of gallbladder carcinoma patients.
Evolution From the U-shaped to Keyhole-shaped Mesh Configuration in the Repair of Paraesophageal and Recurrent Hiatal Hernia
Authors: Keville Sarah , Rabach Lauren , Saad Adham R. , Montera Beth , Velanovich Vic 
Published: April 2020

Background:
Paraesophageal hernia (PEH) and recurrent hiatal hernia (RHH) are prone to recurrences. One adjunct used to reduce recurrences is mesh reinforcement. The optimal configuration is yet to be determined. We present our evolution from the U-shaped to the keyhole pattern.

Methods:
All patients undergoing PEH/RHH repair with mesh between 2013 and 2019 were reviewed for demographic information, perioperative/intraoperative details, postoperative complications, and recurrences.

Results:
Of patients undergoing PEH/RHH repair between 2013 and 2019, 138 were repaired using mesh. Of these, 88 were repaired using the U-shaped configuration and 50 using the keyhole configuration. The U-shaped configuration was used for PEH in 72% and RHH in 28%, while the keyhole configuration was used for PEH in 66% and RHH in 34%. Thirty patients suffered postoperative complications, although there was no difference between the groups. Overall, 28 patients in the U-shaped configuration group (31.8%) had a recurrence of their hiatal hernia identified, compared with 7 patients (14.6%) in the keyhole group (P=0.039). The median time to last follow-up was 21 months (range: 1 to 85) in the U-shaped group and 8 months (range: 1 to 23) in the keyhole group. There was no difference in median time to recurrence, postoperative dysphagia, dilations, or strictures.

Conclusions:
The keyhole pattern mesh was not associated with a higher complication rate compared with the U-shape pattern. Although this study was not a direct comparison between the configurations, it does suggest that the keyhole pattern may lead to fewer recurrences.
Calcium channel blocker amlodipine besylate is associated with reduced case fatality rate of COVID-19 patients with hypertension
Authors: Zhang Lei-Ke , Sun Yuan , Zeng Haolong , Peng Yudong , Jiang Xiaming , Shang Wei-Juan , Wu Yan , Li Shufen , Zhang Yu-Lan , Yang Liu , Chen Hongbo , Jin Runming , Liu Wei , Li Hao , Peng Ke , Xiao Gengfu 
Published: April 2020

AbstractThe coronavirus disease (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has now spread to more than 100 countries posing as a serious threat to the public health on a global scale. Patients with comorbidity such as hypertension suffer more severe infection with elevated case fatality rate. Development of effective anti-viral drug is in urgent need to treat COVID-19 patients. Here we report that calcium channel blockers (CCBs), a type of anti-hypertension drugs that are widely used in the clinics, can significantly inhibit the post-entry replication events of SARS-CoV-2 in vitro. Comparison with two other major types of anti-hypertension drugs, the angiotensin converting enzyme inhibitors (ACEI) and angiotensin II receptor blockers (ARB), showed that only CCBs display significant anti-SARS-CoV-2 efficacy. Combined treatment with chloroquine and CCBs significantly enhanced the anti-SARS-CoV-2 efficacy. Retrospective clinical investigation of COVID-19 patients revealed that the CCB amlodipine besylate administration was associated with reduced case fatality rate of patients with hypertension. Results from this study suggest that CCB administration for COVID-19 patients with hypertension as the comorbidity might improve the disease outcome.
Chasing the ghost of infection past: identifying thresholds of change during the COVID-19 infection in Spain
Authors: Santamaría Luis , Hortal Joaquín 
Published: April 2020

AbstractCOVID-19 pandemic has spread worldwide rapidly from its first outbreak in China, with different impacts depending on the age and social structure of the populations, and the measures taken by each government. Within Europe, the first countries to be strongly affected have been Italy and Spain. In Spain, infection has expanded in highly populated areas, resulting in one of the largest nationwide bursts so far by early April. We analyze the evolution of the growth curve of the epidemic in both the whole of Spain, Madrid Autonomous Region (the second largest conurbation in Europe), and Catalonia (which includes Spain’s second largest city), based on the cumulative numbers of reported cases and deaths. We conducted segmented, poisson regressions on log-transformed data to identify changes in the slope of these curves and/or sudden shifts in the number of cases (i.e. changes in the intercept) at fitted breaking points, and compared their results with a timeline including both key events of the epidemic and containment measures taken by the national and regional governments. Results were largely consistent in the six curves analyzed (reported infections and deaths for Spain, Madrid and Catalonia, respectively), showing three major clusters of shifts in slopes (growth rates) on March 13-19, March 23-29 and April 1-5 that resulted in 33-71% reductions of slope, and originated in infections on March 3-9, 13-19 and 22-26; as well as a decrease in the infection rate following the strengthened lockdown of 29-30 April, only for Madrid and Catalonia. Small upward shifts in the progress of the disease in Madrid were not associated with significant increases in the intercept of the curve, and seem related with unevenness in case reporting; but they did so in Spain and Catalonia, where they were probably associated to specific events of group infection in Vitoria and to the onset of the outbreak in Catalonia. These results evidence an early deceleration in the spread of COVID-19 coinciding with personal hygiene and social distancing recommendations, as well as the general awareness of the population; and a second, stronger decrease when harder isolation measures were enforced. The combination of these two inflection points seemingly led to the start of the contention of the disease outbreak by early April, the limit of our time series. This highlights the importance of adopting public health strategies that include disseminating basic knowledge on personal hygiene and reduced social contact at the onset of the epidemic, and the importance of early enforcement of hard confinement measures for its subsequent contention.
Forecasting the scale of the COVID-19 epidemic in Kenya
Authors: Brand Samuel P. C. , Aziza Rabia , Kombe Ivy K. , Agoti Charles N. , Hilton Joe , Rock Kat S. , Parisi Andrea , Nokes D. James , Keeling Matt J. , Barasa Edwine W. 
Published: April 2020

AbstractBackgroundThe first COVID-19 case in Kenya was confirmed on March 13th, 2020. Here, we provide forecasts for the potential incidence rate, and magnitude, of a COVID-19 epidemic in Kenya based on the observed growth rate and age distribution of confirmed COVID-19 cases observed in China, whilst accounting for the demographic and geographic dissimilarities between China and Kenya.MethodsWe developed a modelling framework to simulate SARS-CoV-2 transmission in Kenya, KenyaCoV. KenyaCoV was used to simulate SARS-CoV-2 transmission both within, and between, different Kenyan regions and age groups. KenyaCoV was parameterized using a combination of human mobility data between the defined regions, the recent 2019 Kenyan census, and estimates of age group social interaction rates specific to Kenya. Key epidemiological characteristics such as the basic reproductive number and the age-specific rate of developing COVID-19 symptoms after infection with SARS-CoV-2, were adapted for the Kenyan setting from a combination of published estimates and analysis of the age distribution of cases observed in the Chinese outbreak.ResultsWe find that if person-to-person transmission becomes established within Kenya, identifying the role of subclinical, and therefore largely undetected, infected individuals is critical to predicting and containing a very significant epidemic. Depending on the transmission scenario our reproductive number estimates for Kenya range from 1.78 (95% CI 1.44 −2.14) to 3.46 (95% CI 2.81-4.17). In scenarios where asymptomatic infected individuals are transmitting significantly, we expect a rapidly growing epidemic which cannot be contained only by case isolation. In these scenarios, there is potential for a very high percentage of the population becoming infected (median estimates: >80% over six months), and a significant epidemic of symptomatic COVID-19 cases. Exceptional social distancing measures can slow transmission, flattening the epidemic curve, but the risk of epidemic rebound after lifting restrictions is predicted to be high.
Histology-based average template of the marmoset cortex with probabilistic localization of cytoarchitectural areas
Authors: Majka Piotr , Bednarek Sylwia , Chan Jonathan M. , Jermakow Natalia , Liu Cirong , Saworska Gabriela , Worthy Katrina H. , Silva Afonso C. , Wójcik Daniel K. , Rosa Marcello G.P. 
Published: April 2020

AbstractThe rapid adoption of marmosets in neuroscience has created a demand for three dimensional (3D) atlases of the brain of this species to facilitate data integration in a common reference space. We report on a new open access template of the marmoset cortex (the Nencki–Monash, or NM template), representing a morphological average of 20 brains of young adult individuals, obtained by 3D reconstructions generated from Nissl-stained serial sections. The method used to generate the template takes into account morphological features of the individual brains, as well as the borders of clearly defined cytoarchitectural areas. This has resulted in a resource which allows direct estimates of the most likely coordinates of each cortical area, as well as quantification of the margins of error involved in assigning voxels to areas, and preserves quantitative information about the laminar structure of the cortex. We provide spatial transformations between the NM and other available marmoset brain templates, thus enabling integration with magnetic resonance imaging (MRI) and tracer-based connectivity data. The NM template combines some of the main advantages of histology-based atlases (e.g. information about the cytoarchitectural structure) with features more commonly associated with MRI-based templates (isotropic nature of the dataset, and probabilistic analyses). The underlying workflow may be found useful in the future development of brain atlases that incorporate information about the variability of areas in species for which it may be impractical to ensure homogeneity of the sample in terms of age, sex and genetic background.Graphical abstractHighlightsA 3D template of the marmoset cortex representing the average of 20 individuals.The template is based on Nissl stain and preserves information about cortical layers.Probabilistic mapping of areas, cortical thickness, and layer intensity profiles.Includes spatial transformations to other marmoset brain atlases.AbbreviationsFor a list of areas and their abbreviations see Table S2.
Melanocortin-1 receptor (MC1R) genotypes do not correlate with size in two cohorts of medium-to-giant congenital melanocytic nevi
Authors: Calbet-Llopart Neus , Pascini-Garrigos Mirella , Tell-Martí Gemma , Potrony Miriam , da Silva Vanessa Martins , Barreiro Alicia , Puig Susana , Captier Guillaume , James Isabelle , Degardin Nathalie , Carrera Cristina , Malvehy Josep , Etchevers Heather C. , Puig-Butillé Joan Anton 
Published: April 2020

ABSTRACTCongenital melanocytic nevi (CMN) are cutaneous malformations whose prevalence is inversely correlated with projected adult size. CMN are caused by somatic mutations, but epidemiological studies suggest that germline genetic factors may influence CMN development. In CMN patients from the U.K., genetic variants in the MC1R gene, such as p.V92M and loss-of-function variants, have been previously associated with larger CMN. We analyzed the association of MC1R variants with CMN characteristics in 113 medium-to-giant CMN patients from Spain and from a distinct cohort of 53 patients from France, Norway, Canada and the U.S. These cohorts were similar at the clinical and phenotypical level, except for the number of nevi per patient. We found that the p.V92M or loss-of-function MC1R variants either alone or in combination did not correlate with CMN size, in contrast to the U.K. CMN patients. An additional case-control analysis with 259 unaffected Spanish individuals, showed a higher frequency of MC1R compound heterozygous or homozygous variant genotypes in Spanish CMN patients compared to the control population (15.9% vs. 9.3%; P=0.075). Altogether, this study suggests that MC1R variants are not associated with CMN size in these non-U.K. cohorts. Additional studies are required to define the potential role of MC1R as a risk factor in CMN development.SIGNIFICANCECongenital melanocytic nevi (CMN) are common pigmented lesions that originate during prenatal life, without clear evidence of a genetic predisposition. To date, limited data exist regarding the role of the MC1R gene, a key regulator of human pigmentation, in the development of the class of rarer CMN that are greater than 10 cm diameter at projected adult size and associated with increased morbidity or mortality risks. This study provides data from a large set of such CMN patients to support the hypothesis that MC1R could be involved in the development of these types of lesions, but at the same time discounting its influence on the size of CMN across distinct populations. Improving our understanding of genetic susceptibility to rare types of CMN is necessary to determine whether routine germline genotyping is relevant in clinical practice.
Multi-centre derivation and validation of a colitis-associated colorectal cancer risk prediction web-tool
Authors: Curtius Kit , Kabir Misha , Bakir Ibrahim Al , Choi Chang-Ho Ryan , Hartono Juanda , Johnson Michael , East James E ,   Oxford IBD Cohort Study Investigators, Lindsay James O , Vega Roser , Thomas-Gibson Siwan , Wilson Ana , Graham Trevor A , Hart Ailsa 
Published: April 2020

AbstractBackground and AimsUlcerative colitis (UC) patients diagnosed with low-grade dysplasia (LGD) have increased risk of developing advanced neoplasia (AN; high-grade dysplasia or colorectal cancer). We aimed to develop and validate a predictor of AN risk in UC patients with LGD and create a visual web-tool to effectively communicate the risk.MethodsIn our retrospective multi-centre validated cohort study, adult UC patients with an index diagnosis of LGD, identified from four UK centres between 2001-2019, were followed until progression to AN. In the discovery cohort (n=248), a multivariate risk prediction model was derived from clinicopathological features using Cox regression. Validation used data from 3 external centres (n=201). The validated model was embedded in a web-based tool to calculate and illustrate patient-specific risk.ResultsFour endoscopic variables were significantly associated with future AN progression in the discovery cohort: endoscopically visible LGD > 1 cm (HR = 2.8; 95% CI 1.3-6.0), incomplete endoscopic resection (HR = 2.9; 95% CI 1.3-6.5), moderate/severe histological inflammation within 5 years of LGD diagnosis (HR = 3.0; 95% CI 1.3- 6.7), and multifocality (HR = 2.8; 95% CI 1.3-6.1). In the validation cohort, this 4-variable model accurately predicted future AN cases with overall calibration Observed/Expected = 1 (95% CI 0.63-1.5), and achieved perfect specificity for the lowest predicted risk group over 13 years of follow-up.ConclusionMulti-cohort validation confirms that patients with large, unresected, and multifocal LGD and recent moderate/severe inflammation are at the highest risk of developing AN. Personalised risk prediction provided via the Ulcerative Colitis-Cancer Risk Estimator web-tool (www.UC-CaRE.uk) can be used to support treatment decision-making.
Possibilities of exponential or Sigmoid growth of Covid19 data in different states of India
Authors: Mondal Supriya , Ghosh Sabyasachi 
Published: April 2020

AbstractWe have attempted to understand existing covid19 data of India, where growth of total and new cases with time in different states are kept as focal points. Identifying the last trend of exponential growth, mainly noticed in month of March, we have zoomed in its disaster possibilities by straight forward extrapolation of exponential growth. As a hopeful extrapolation, the existing data might be considered low time-axis values of Sigmoid-type function, whose growth might be saturated to values of 104 or 105. To fulfill this expectation, a turning from increasing to decreasing trend in new case data should be noticed around April-May, which definitely demand extension of present lock-down with additional interventions.
Global COVID-19 transmission rate is influenced by precipitation seasonality and the speed of climate temperature warming
Authors: Chiyomaru Katsumi , Takemoto Kazuhiro 
Published: April 2020

AbstractThe novel coronavirus disease 2019 (COVID-19) became a rapidly spreading worldwide epidemic; thus, it is a global priority to reduce the speed of the epidemic spreading. Several studies predicted that high temperature and humidity could reduce COVID-19 transmission. However, exceptions exist to this observation, further thorough examinations are thus needed for their confirmation. In this study, therefore, we used a global dataset of COVID-19 cases and global climate databases and comprehensively investigated how climate parameters could contribute to the growth rate of COVID-19 cases while statistically controlling for potential confounding effects using spatial analysis. We also confirmed that the growth rate decreased with the temperature; however, the growth rate was affected by precipitation seasonality and warming velocity rather than temperature. In particular, a lower growth rate was observed for a higher precipitation seasonality and lower warming velocity. These effects were independent of population density, human life quality, and travel restrictions. The results indicate that the temperature effect is less important compared to these intrinsic climate characteristics, which might thus be useful for explaining the exceptions. However, the contributions of the climate parameters to the growth rate were moderate; rather, the contribution of travel restrictions in each country was more significant. Although our findings are preliminary owing to data-analysis limitations, they may be helpful when predicting COVID-19 transmission.