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This paper reports on Monte Carlo simulation results for future measurements of the moduli of time-like proton electromagnetic form factors, |GE | and |GM|, using the ¯pp → μ+μ− reaction at PANDA (FAIR). The electromagnetic form factors are fundamental quantities parameterizing the electric and magnetic structure of hadrons. This work estimates the statistical and total accuracy with which the form factors can be measured at PANDA, using an analysis of simulated data within the PandaRoot software framework. The most crucial background channel is ¯pp → π+π−,due to the very similar behavior of muons and pions in the detector. The suppression factors are evaluated for this and all other relevant background channels at different values of antiproton beam momentum. The signal/background separation is based on a multivariate analysis, using the Boosted Decision Trees method. An expected background subtraction is included in this study, based on realistic angular distribuations of the background contribution. Systematic uncertainties are considered and the relative total uncertainties of the form factor measurements are presented.
Background and Aim. Spontaneous bacterial peritonitis (SBP) is one of the most common complications of liver cirrhosis. Antibiotics are the main treatment regimen of SBP. Traditional Chinese medicine Xuebijing injection has been used in such patients. Our study aimed to overview the efficacy of Xuebijing injection combined with antibiotics for the treatment of SBP.
Method. We searched the PubMed, Embase, China National Knowledge Infrastructure, VIP, and Wanfang databases. The search items included "Xuebijing", "peritonitis", "liver cirrhosis", and "random" to identify all relevant randomized controlled trials (RCTs). The Cochrane risk of bias tool was used to assess the study quality. The odd ratios (ORs) with 95% confidence intervals (CIs) were calculated by using a random-effect model. Heterogeneity was also calculated.
Results. A total of 9 RCTs were included. The study quality was unsatisfied. The overall (OR = 2.95, 95% CI = 1.97–4.42, p<0.00001) and complete (OR = 2.18, 95% CI = 1.57–3.04, p<0.00001) responses were significantly higher in the Xuebijing injection combined with antibiotics group than the antibiotics alone group. The incidence of cirrhosis related complications, including hepatic encephalopathy and hepatorenal syndrome, was lower in the Xuebijing injection combined with antibiotics group than the antibiotics alone group. No significant heterogeneity was observed among studies.
Conclusion. Additional use of Xuebijing injection may improve the efficacy of antibiotics for the treatment of SBP in liver cirrhosis. However, due to a low level of current evidence, we did not establish any recommendation regarding the use of Xuebijing injection for the treatment of SBP.
Men and women differ substantially regarding height, weight, and body fat. Interestingly, previous work detecting genetic effects for waist-to-hip ratio, to assess body fat distribution, has found that many of these showed sex-differences. However, systematic searches for sex-differences in genetic effects have not yet been conducted. Therefore, we undertook a genome-wide search for sexually dimorphic genetic effects for anthropometric traits including 133,723 individuals in a large meta-analysis and followed promising variants in further 137,052 individuals, including a total of 94 studies. We identified seven loci with significant sex-difference including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were significant in women, but not in men. Of interest is that sex-difference was only observed for waist phenotypes, but not for height or body-mass-index. We found no evidence for sex-differences with opposite effect direction for men and women. The PPARG locus is of specific interest due to its link to diabetes genetics and therapy. Our findings demonstrate the importance of investigating sex differences, which may lead to a better understanding of disease mechanisms with a potential relevance to treatment options.
Twelve species of the subgenus Vestiplex (Diptera, Tipulidae) were previously known to occur in Tibet (= Xizang), China. Here, six species are described and illustrated as new to science: Tipula (Vestiplex) bucera sp. nov., Tipula (Vestiplex) magatama sp. nov., Tipula (Vestiplex) motuoensis sp. nov., Tipula (Vestiplex) nayogabuensis sp. nov., Tipula (Vestiplex) platyphylla sp. nov. and Tipula (Vestiplex) uncinella sp. nov. The following three species are redescribed: Tipula (Vestiplex) himalayensis Brunetti, 1911, Tipula (Vestiplex) nigroapicalis Brunetti, 1911 and Tipula (Vestiplex) zayulensis Alexander, 1963. A key to the species of Tipula (Vestiplex) from Tibet is presented.
Background: Intracerebral haemorrhage growth is associated with poor clinical outcome and is a therapeutic target for improving outcome. We aimed to determine the absolute risk and predictors of intracerebral haemorrhage growth, develop and validate prediction models, and evaluate the added value of CT angiography.
Methods: In a systematic review of OVID MEDLINE—with additional hand-searching of relevant studies' bibliographies— from Jan 1, 1970, to Dec 31, 2015, we identified observational cohorts and randomised trials with repeat scanning protocols that included at least ten patients with acute intracerebral haemorrhage. We sought individual patient-level data from corresponding authors for patients aged 18 years or older with data available from brain imaging initially done 0·5–24 h and repeated fewer than 6 days after symptom onset, who had baseline intracerebral haemorrhage volume of less than 150 mL, and did not undergo acute treatment that might reduce intracerebral haemorrhage volume. We estimated the absolute risk and predictors of the primary outcome of intracerebral haemorrhage growth (defined as >6 mL increase in intracerebral haemorrhage volume on repeat imaging) using multivariable logistic regression models in development and validation cohorts in four subgroups of patients, using a hierarchical approach: patients not taking anticoagulant therapy at intracerebral haemorrhage onset (who constituted the largest subgroup), patients taking anticoagulant therapy at intracerebral haemorrhage onset, patients from cohorts that included at least some patients taking anticoagulant therapy at intracerebral haemorrhage onset, and patients for whom both information about anticoagulant therapy at intracerebral haemorrhage onset and spot sign on acute CT angiography were known.
Findings: Of 4191 studies identified, 77 were eligible for inclusion. Overall, 36 (47%) cohorts provided data on 5435 eligible patients. 5076 of these patients were not taking anticoagulant therapy at symptom onset (median age 67 years, IQR 56–76), of whom 1009 (20%) had intracerebral haemorrhage growth. Multivariable models of patients with data on antiplatelet therapy use, data on anticoagulant therapy use, and assessment of CT angiography spot sign at symptom onset showed that time from symptom onset to baseline imaging (odds ratio 0·50, 95% CI 0·36–0·70; p<0·0001), intracerebral haemorrhage volume on baseline imaging (7·18, 4·46–11·60; p<0·0001), antiplatelet use (1·68, 1·06–2·66; p=0·026), and anticoagulant use (3·48, 1·96–6·16; p<0·0001) were independent predictors of intracerebral haemorrhage growth (C-index 0·78, 95% CI 0·75–0·82). Addition of CT angiography spot sign (odds ratio 4·46, 95% CI 2·95–6·75; p<0·0001) to the model increased the C-index by 0·05 (95% CI 0·03–0·07).
Interpretation: In this large patient-level meta-analysis, models using four or five predictors had acceptable to good discrimination. These models could inform the location and frequency of observations on patients in clinical practice, explain treatment effects in prior randomised trials, and guide the design of future trials.
Funding: UK Medical Research Council and British Heart Foundation.