检索结果-南通市图书馆

Potential benefit of lymph node dissection during radical nephrectomy for kidney cancer:A review and critical analysis of current literature

引用

Asian Journal of Urology 2022年第3期9卷 215-226页

作者： Michele Marchioni Daniele Amparore Igino andrea Magli Riccardo Bertolo Umberto Carbonara Selcuk Erdem Alexandre Ingels Constantijn H.J.Muselaers Onder Kara Marco Mascitti Tobias Klatte Maximilian Kriegmair Nicola Pavan Eduard Roussel Angela Pecoraro Laura Marandino Riccardo Campi Luigi Schips Department of Urology SS Annunziata Hospital“G.D’Annunzio”University of ChietiChietiItaly Division of Urology Department of OncologySchool of MedicineSan Luigi HospitalUniversity of TurinOrbassanoTurinItaly Department of Urology San Carlo Di Nancy HospitalRomeItaly Department of Emergency and Organ Transplantation-Urology Andrology and Kidney Transplantation UnitUniversity of BariBariItaly Division of Urologic Oncology Department of UrologyIstanbul University Istanbul Faculty of MedicineIstanbulTurkey Department of Urology University Hospital Henri MondorAPHPCreteilFrance Department of Urology Radboud University Medical CenterNijmegenthe Netherlands Department of Urology Kocaeli University School of MedicineKocaeliTurkey Department of Urology Royal Bournemouth HospitalBournemouthUK Department of Urology University Medical Centre MannheimMannheimGermany Urology Clinic Department of MedicalSurgical and Health ScienceUniversity of TriesteTriesteItaly Department of Urology University Hospitals LeuvenLeuvenBelgium Department of Medical Oncology Fondazione IRCCS Istituto Nazionale dei TumoriMilanItaly Unit of Urological Robotic Surgery and Renal Transplantation University of FlorenceCareggi HospitalFlorenceItaly

Objective:The role of lymph node dissection(LND)is still controversial in patients with renal cell carcinoma undergoing *** aimed to provide a comprehensive review of the literature about the effect of LND on survival,prognosis,surgical outcomes,as well as patient selection and available LND ***:Recent literature(from January 2011 to December 2021)was assessed through PubMed and MEDLINE databases.A narrative review of most relevant articles was ***:The frequencies in which LNDs are being carried out are decreasing due to an increase in minimally invasive and nephron sparing ***,randomized clinical trials and meta-analyses failed to show any survival advantage of LND versus no ***,retrospective studies suggest a survival benefit of LND in high-risk patients(bulky tumors,T3-4 stage,and cN1 patients).Moreover,extended LND might provide important staging information,which could be of interest for adjuvant treatment ***:No level 1 evidence of any survival advantage deriving from LND is currently available in ***,the role of LND is limited to staging ***,low grade evidence suggests a possible role of LND in high-risk *** clinical trials are warranted to corroborate these findings.

关键词： Renal cell carcinoma Lymph node dissection Radical nephrectomy Salvage lymph node dissection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

引用

Journal of Intensive Medicine 2021年第2期1卷 110-116页

作者： Jonathan Montomoli Luca Romeo Sara Moccia Michele Bernardini Lucia Migliorelli Daniele Berardini Abele Donati andrea Carsetti Maria Grazia Bocci Pedro David Wendel Garcia Thierry Fumeaux Philippe Guerci Reto andreas Schüpbach Can Ince Emanuele Frontoni Matthias Peter Hilty RISC-19-ICU Investigators Department of Anaesthesia and Intensive Care Infermi HospitalAUSL della RomagnaRimini 47923Italy Department of Information Engineering UniversitàPolitecnica delle MarcheAncona 60131Italy The BioRobotics Institute and Department of Excellence in Robotics and AI Scuola Superiore Sant’AnnaPisa 56127Italy Anesthesia and Intensive Care Unit Azienda Ospedaliero Universitaria Ospedali RiunitiAncona 60126Italy Department of Biomedical Sciences and Public Health UniversitàPolitecnica delle MarcheAncona 60126Italy Department of Anaesthesia and Intensive Care Fondazione Policlinico Universitario A.Gemelli IRCCSUniversitàCattolica del Sacro CuoreRome 00168Italy Institute of Intensive Care Medicine University Hospital of ZurichZurich 8091Switzerland Swiss Society of Intensive Care Medicine Basel 4001Switzerland Department of Anesthesiology and Critical Care Medicine University Hospital of NancyNancy 54511France Department of Intensive Care Erasmus MC University Medical Center RotterdamRotterdam3015 GDNetherlands 不详

Background:Accurate risk stratification of critically ill patients with coronavirus disease 2019(COVID-19)is essential for optimizing resource allocation,delivering targeted interventions,and maximizing patient survival *** learning(ML)techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical ***:We retrieved data on patients with COVID-19 admitted to an intensive care unit(ICU)between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit(RISC-19-ICU)*** applied the Extreme Gradient Boosting(XGBoost)algorithm to the data to predict as a binary out-come the increase or decrease in patients’Sequential Organ Failure Assessment(SOFA)score on day 5 after ICU *** model was iteratively cross-validated in different subsets of the study ***:The final study population consisted of 675 *** XGBoost model correctly predicted a decrease in SOFA score in 320/385(83%)critically ill COVID-19 patients,and an increase in the score in 210/290(72%)*** area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model(0.86 vs.0.69,P<0.01[paired t-test with 95%confidence interval]).Conclusions:The XGBoost model predicted the change in SOFA score in critically ill COVID-19 patients admitted to the ICU and can guide clinical decision support systems(CDSSs)aimed at optimizing available resources.

关键词： Machine learning Extreme gradient boosting(XGBoost) COVID-19 Multiple organ failure Clinical decision support system(CDSS) Organ dysfunction score

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Comparative study of breast cancer in Mexican and Mexican-American women

引用

Health 2010年第9期2卷 1040-1048页

作者： Maria Elena Martinez Luis Enrique Gutierrez-Millan Melissa Bondy Adrian Daneri-Navarro Maria Mercedes Meza-Montenegro Ivan Anduro-Corona Ma Isabel Aramburo-Rubio Luz Maria Adriana Balderas-Pena Jose Adelfo Barragan-Ruiz Abenaa Brewster Graciela Caire-Juvera Juan Manuel Castro-Cervantes Mario Alberto Chavez Zamudio Giovanna Cruz Alicia Del Toro-Arreola Mary EEdgerton Maria Rosa Flores-Marquez Ramon Antonio Franco-Topete Helga Garcia Susan andrea Gutierrez-Rubio Karin Hahn Luz Margarita Jimenez-Perez Ian KKomenaka Zoila Areli Lopez Bujanda Dihui Lu Gilberto Morgan-Villela James LMurray Jesse NNodora Antonio Oceguera-Villanueva Miguel Angel Ortiz Martinez Laura Perez Michel Antonio Quintero-Ramos Aysegul Sahin Jeong Yun Shim Maureen Stewart Gonzalo Vazquez-Camacho Betsy Wertheim Rachel Zenuk Patricia Thompson Arizona Cancer Center and Mel and Enid Zuckerman College of Public Health University of ArizonaTucsonUSA Departamento de Investigaciones Cientificas y Tecnologicas Universidad de SonoraHermosilloMexico University of Texas M.D.Anderson Cancer Center HoustonUSA Departamento de Fisiologia Centro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajaraMexico Instituto Tecnologico de Sonora Ciudad ObregónMexico Instituto Mexicano del Seguro Social HermosilloMexico Instituto Mexicano del Seguro Social CMNOGuadalajaraJalisco Centro de Investigacion en Alimentacion y Desarrollo HermosilloMexico Instituto Mexicano del Seguro Social Ciudad ObregonMexico OPD Hospital Civil de Guadalajara GuadalajaraMexico Departamento de Salud Publica Centro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajaraMexico Maricopa Medical Center Department of SurgeryPhoenixUSA University of North Carolina Lineberger Cancer CenterChapel HillUSA Arizona Cancer Center and Department of Family and Community Medicine University of ArizonaTucsonUSA Instituto Jalisciense de Cancerologia GuadalajaraMexico

Breast cancer is the number one cause of can- cer deaths among Hispanic women in the United States, and in Mexico, it recently became the primary cause of cancer deaths. This malign- nancy represents a poorly understood and un- derstudied disease in Hispanic women. The ELLA Binational Breast Cancer Study was es- tablished in 2006 as a multi-center study to as- sess patterns of breast tumor markers, clinical characteristics, and their risk factors in women of Mexican descent. We describe the design and implementation of the ELLA Study and provide a risk factor comparison between women in the U.S. and those in Mexico based on a sample of 765 patients (364 in the U.S. and 401 in Mexico). Compared to women in Mexico, U.S. women had significantly (p < 0.05) lower parity (3.2 vs. 3.9 mean live births) and breastfeeding rates (57.5% vs. 80.5%), higher use of oral contraceptives (60.7% vs. 50.1%) and hormone replacement therapy (23.3% vs. 7.6%), and higher family history of breast cancer (15.7% vs. 9.0%). Re- sults show that differences in breast cancer risk factor patterns exist between Mexico and U.S. women. We provide lessons learned from the conduct of our study. Binational studies are an important step in understanding disease pat- terns and etiology for women in both countries.

关键词： Binational Study Breast Cancer Hispanics Mexico United States

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

更加全面地认识城镇化、城镇地区和碳循环的关系

引用

城市与区域规划研究 2017年第3期9卷 245-264页

作者：帕特里夏·罗梅罗-兰考凯文·格尼凯伦·濑户米哈伊尔·切斯特赖利·杜伦萨拉·休斯露西·赫蒂拉彼得·马科图利奥拉里·贝克南希·格里姆克里斯·肯尼迪伊丽莎白·拉森斯蒂芬妮·平塞特丹·伦福洛兰迪·桑切斯吉娅米·斯雷斯塔安德烈亚·萨兹姆斯基乔舒亚·斯佩林埃莉诺·斯托克斯高雪梅徐瑾顾朝林美国都市未来和大气研究中心亚利桑那州立大学生命科学学院/全球持续力学院耶鲁大学森林与环境研究学院亚利桑那州立大学土木、环境和可持续工程学院美国国家航空航天局喷气推进实验室多伦多环境保护局/多伦多大学波士顿大学地球和环境系纽约城市大学亨特学院地理系明尼苏达大学生物产品和生物系统工程系多伦多大学土木工程系美国科学促进会/美国国家航空航天局加利福尼亚大学环境与可持续发展学院美国大气研究中心/乔治·华盛顿公共政策研究所墨西哥城市与环境学院人口研究中心美国碳循环科学项目办公室德拉华大学公共政策和管理学院清华大学建筑学院

对城镇化、城镇地区和碳循环相关的独立研究，加深了我们对能源和土地使用影响碳循环这一过程的认识。文章将多样化观点综合在一起，作为全面理解城镇化过程、城镇地区及其与碳循环关系的第一步。文章建议，对于不同的城镇化过程、机理... 详细信息

对城镇化、城镇地区和碳循环相关的独立研究，加深了我们对能源和土地使用影响碳循环这一过程的认识。文章将多样化观点综合在一起，作为全面理解城镇化过程、城镇地区及其与碳循环关系的第一步。文章建议，对于不同的城镇化过程、机理和要素，不同的时间、不同的城市乃至跨城市的碳排放时空模式问题，需要在现有研究方法的基础上，应用补充和整合的新型跨学科研究法进行研究。文章呼吁对城镇化和不同位置城市碳影响的研究需要采用更加整体性的方法，其中既包括收入，也包括城市发展路径的其他相互联系的特性，如城市形态、经济功能和制度或治理安排。文章进一步指出城镇化机理和城镇化过程都存在广泛的不确定性，而且两者都与城市社会制度和建成环境系统存在相互关系，它们三者对碳循环均有影响，并且相关碳排量的控制又会对城镇化产生影响。最后，文章还研究了低碳城市转型发展的路径、障碍和局限，建议发展终端到终端、合作、综合的科学意识，从而提高城市转型效率，同时规避转型过程中的障碍。

关键词：城镇化城镇地区碳循环

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：