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6篇 您的检索式:作者名="Christopher Meades"
    题名 作者 年代 出处 被引量
1Modelling of the behavior of marine oil spills: applications based on random walk techniques显示文摘IntroductionThefrequencyofaccidentaloilspills,andtheassociatedaquaticpollution,aregrowingconcerns.Thereisaneedformodelsystemth?..Li, Zhi-Wei Mead, Christopher T. Zhang, Shu-Shen 2000Journal of Environmental Sciences2000,12,1:2
22-Anilino-4-(thiazol-5-yl)pyrimidine CDK inhibitors:Synthesis,SAR analysis,X-ray crystallography,and biological activity显示文摘Shudong Wang Christopher Meades Ga vin Wood 2004J Med Chem2004,47,:1
3Central bank independence and transparency: Evolution and effectiveness显示文摘Christopher Crowe Ellen E. Meade 2008European Journal of Political Economy2008,,:1
4Somatic Profiling of the Epidermal Growth Factor Receptor Pathway in Tumors from Patients with Advanced Colorectal Cancer Treated with Chemotherapy ± Cetuximab显示文摘Christopher G. Smith David Fisher Bart Claes Timothy S. Maughan Shelley Idziaszczyk Gilian Peuteman Rebecca Harris Michelle D. James Angela Meade Bharat Jasani Richard A. Adams Sarah Kenny Richard Kaplan Diether Lambrechts Jeremy P. Cheadle 2013Clinical Cancer Research2013,,15:1
5安托内·普雷多克之路显示文摘观察剖开的高速公路路基断面我们会发现路基底端的西南部是形成于寒武纪之前的花岗岩,上面覆盖着石灰石。从地质时期起,其他沉积岩,如砂岩和某些生物的海底化石(如腕足类动物和Chrinoid根茎植物)开始沉积于此。再然后,小型文物(这些文物的尺寸与几英里深的地层相比只相当于一英寸甚至更小)便出现了。总体规律是在史前文明后才出现连续的文物层。在我们所研究的这段剖面中,Christopher Curtis Mead 2012城市环境设计2012,,6:1
6Performance of the Enhanced Liver Fibrosis Score,Comparison with Vibration-controlled Transient Elastography Data,and Development of a Simple Algorithm to Predict Significant Liver Fibrosis in a Community-based Liver Service:A Retrospective Evaluation显示文摘Background and Aims:Liver fibrosis is a key risk factor for cirrhosis,hepatocellular carcinoma and end stage liver failure.The National Institute for Health and Care Excellence guidelines for assessment for advanced(≥F3)liver fibrosis in people with nonalcoholic fatty liver disease recommend the use of enhanced liver fibrosis(ELF)test,followed by vibration-controlled transient elastography(VCTE).Performance of ELF at predicting significant(≥F2)fibrosis in real-world practice is uncertain.To assess the accuracy of ELF using VCTE;investigate the optimum ELF cutoff value to identify≥F2and≥F3;and develop a simple algorithm,with and without ELF score,for detecting≥F2.Methods:Retrospective evaluation of patients referred to a Community Liver Service for VCTE,Jan-Dec 2020.Assessment included:body mass index(BMI),diabetes status,alanine aminotransferase(ALT)levels,ELF score and biopsy-validated fibrosis stages according to VCTE.Results:Data from 273 patients were available.n=110 patients had diabetes.ELF showed fair performance for≥F2 and≥F3,area under the curve(AUC)=0.70,95%confidence interval(CI)0.64-0.76 and AUC=0.72,95%CI:0.65-0.79 respectively.For≥F2 Youden's index for ELF=9.85 and for≥F3,ELF=9.95.Combining ALT,BMI,and HbA1c(ALBA algorithm)to predict≥F2 showed good performance(AUC=0.80,95%CI:0.69-0.92),adding ALBA to ELF improved performance(AUC=0.82,95%CI:0.77-0.88).Results were independently validated.Conclusions:Optimal ELF cutoff for≥F2 is 9.85 and 9.95 for≥F3.ALT,BMI,and HbA1c(ALBA algorithm)can stratify patients at risk of≥F2.ELFperformance is improved by adding ALBA.Tina Reinson Janisha Patel Mead Mathews Derek Fountain Ryan M.Buchanan Christopher DByrne 2023Journal of Clinical and Translational Hepatology2023,11,4:0
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