There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC woul...There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC would improve patient survival outcomes in real-world practice.On the basis of an intelligent bigdata platform,we established a large-scale retrospective cohort of mCRC patients.We investigated the temporal changes in the systemic and local treatment(resection,ablation,or radiation to liver,lung,or extrahepatic and/or extrapulmonary metastases)patterns of mCRC,and whether these changes were associated with improved overall survival(OS)over time.Between July 2012 and December 2018,3403 eligible patients were included in this research.The median OS was 42.8 months(95%confidence interval(CI),40.7–46.6)for the entire cohort,25.6 months(95%CI,24.7–26.9)for those treated with systemic therapy only,and not reached(95%CI,78.6 months–not reached)for those receiving local therapy.The utility rate of local therapy increased continuously from 37.9%in 2012–2014 to 46.9%in 2017–2018.A dramatic increase in the utility rate of either cetuximab or bevacizumab was observed since 2017(39.9%,43.2%,and 60.3%in 2012–2014,2015–2016,and 2017–2018,respectively).Compared with 2012–2014,the OS of the entire population significantly improved in 2015–2016(hazard ratio(HR)=0.87(95%CI,0.78–0.99);P=0.034),but not for patients receiving systemic therapy only(HR=0.99(95%CI,0.86–1.14);P=0.889),whereas an improved OS was found in 2015–2018 for both the entire population(HR=0.75(95%CI,0.70–0.81);P<0.001)and for patients receiving systemic therapy only(HR=0.83(95%CI,0.77–0.91);P<0.001).In summary,the quality of care for mCRC,as indicated by the utility rate of targeted and local therapies,has been continuously improving over time in this study cohort,which is associated with continuously improving survival outcomes for these patients.展开更多
The importance of the development of engineering supervision informatization, the current deficiencies in the application of engineering supervision, and the current methods of strengthening the construction and appli...The importance of the development of engineering supervision informatization, the current deficiencies in the application of engineering supervision, and the current methods of strengthening the construction and application of engineering supervision informatization.展开更多
Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network te...Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.展开更多
基金This study was supported by the grants from the National Natural Science Foundation of China(81930065)the Natural Science Foundation of Guangdong Province(2014A030312015)+1 种基金the Science and Technology Program of Guangdong(2019B020227002)the Science and Technology Program of Guangzhou(201904020046,201803040019,and 201704020228).
文摘There is a lack of high-quality,large-scale,real-world evidence from patients with metastatic colorectal cancer(mCRC),especially in China.It remains unclear whether efforts to improve the quality of care for mCRC would improve patient survival outcomes in real-world practice.On the basis of an intelligent bigdata platform,we established a large-scale retrospective cohort of mCRC patients.We investigated the temporal changes in the systemic and local treatment(resection,ablation,or radiation to liver,lung,or extrahepatic and/or extrapulmonary metastases)patterns of mCRC,and whether these changes were associated with improved overall survival(OS)over time.Between July 2012 and December 2018,3403 eligible patients were included in this research.The median OS was 42.8 months(95%confidence interval(CI),40.7–46.6)for the entire cohort,25.6 months(95%CI,24.7–26.9)for those treated with systemic therapy only,and not reached(95%CI,78.6 months–not reached)for those receiving local therapy.The utility rate of local therapy increased continuously from 37.9%in 2012–2014 to 46.9%in 2017–2018.A dramatic increase in the utility rate of either cetuximab or bevacizumab was observed since 2017(39.9%,43.2%,and 60.3%in 2012–2014,2015–2016,and 2017–2018,respectively).Compared with 2012–2014,the OS of the entire population significantly improved in 2015–2016(hazard ratio(HR)=0.87(95%CI,0.78–0.99);P=0.034),but not for patients receiving systemic therapy only(HR=0.99(95%CI,0.86–1.14);P=0.889),whereas an improved OS was found in 2015–2018 for both the entire population(HR=0.75(95%CI,0.70–0.81);P<0.001)and for patients receiving systemic therapy only(HR=0.83(95%CI,0.77–0.91);P<0.001).In summary,the quality of care for mCRC,as indicated by the utility rate of targeted and local therapies,has been continuously improving over time in this study cohort,which is associated with continuously improving survival outcomes for these patients.
文摘The importance of the development of engineering supervision informatization, the current deficiencies in the application of engineering supervision, and the current methods of strengthening the construction and application of engineering supervision informatization.
文摘Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.
