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您的检索式：作者名="Zhaoting Meng"
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| 1 | Peripheral blood indices to predict PFS/OS with anlotinib as a subsequent treatment in advanced small-cell lung cancer显示文摘Objective:In the phase II ALTER-1202(NCT03059797)trial,anlotinib significantly improved progression-free survival(PFS)and overall survival(OS)in patients with advanced small-cell lung cancer(SCLC)who underwent at least 2 previous chemotherapy cycles,when compared with a placebo group.To identify potential factors for predicting efficacy and prognosis with anlotinib treatment,we analyzed hematological indices at baseline and adverse events(AEs)over the course of anlotinib treatment.Methods:Data were collected from March 2017 to April 2019 from a randomized,double-blind,placebo-controlled,multicenter,phase II trial of anlotinib.Eligible patients were randomly assigned 2:1 to receive anlotinib or placebo until disease progression,intolerable toxicity,or withdrawal of consent.The patients received anlotinib(12 mg)or an analogue capsule(placebo)orally once daily for 14 days every 3 weeks.The hematological indices at baseline and AEs that occurred in the initial 2 treatment cycles were recorded.The Kaplan-Meier test and Cox regression model were used to assess survival differences.Results:A total of 82 patients(81 patients with complete data)were randomly assigned to receive anlotinib,with 38 receiving a placebo as a control.Multivariate analysis indicated that an elevated neutrophil to lymphocyte ratio>7.75 and lactate dehydrogenase>254.65 U/L at baseline were independent risk factors for PFS;basal elevated aspartate aminotransferase>26.75 U/L,neuron specific enolase>18.64 ng/mL,and fibrinogen>4.645 g/L were independent risk factors for OS.During treatment,elevatedγglutamyltransferase and hypophosphatemia were independent predictors for a poor PFS,and elevatedγ-glutamyl transferase and hypercholesterolemia were independent factors for OS.Conclusions:Our study preliminarily defined potential factors that affected the PFS and OS at baseline and during anlotinib treatment in patients with advanced SCLC.Our findings provide a basis for screening the dominant population and for dynamic efficacy monitoring with anlotinib therapy. | Cuicui Zhang Jing Wang Xinyue Wang Zhaoting Meng Ying Cheng Kai Li | 2022 | Cancer Biology & Medicine2022，19，8： | 1 |
| 2 | A survey of learning-based robot motion planning显示文摘A fundamental task in robotics is to plan collision-free motions among a set of obstacles.Recently,learning-based motion-planning methods have shown significant advantages in solving different planning problems in high-dimensional spaces and complex environments.This article serves as a survey of various different learning-based methods that have been applied to robot motion-planning problems,including supervised,unsupervised learning,and reinforcement learning.These learning-based methods either rely on a human-crafted reward function for specific tasks or learn from successful planning experiences.The classical definition and learning-related definition of motion-planning problem are provided in this article.Different learning-based motion-planning algorithms are introduced,and the combination of classical motion-planning and learning techniques is discussed in detail. | Jiankun Wang Tianyi Zhang Nachuan Ma Zhaoting Li Han Ma Fei Meng Max Q.-H.Meng | 2021 | IET Cyber-Systems and Robotics2021，3，4： | 0 |
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