Objective： Stomach and esophageal cancer are imposing huge threats to the health of Chinese people whereasthere were few studies on the financial burden of the two cancers.Methods： Costs per hospitalization of all p...Objective： Stomach and esophageal cancer are imposing huge threats to the health of Chinese people whereasthere were few studies on the financial burden of the two cancers.Methods： Costs per hospitalization of all patients with stomach or esophageal cancer discharged betweenSeptember 2015 and August 2016 in seven cities/counties in China were collected, together with their demographicinformation and clinical details. Former patients in the same hospitals were sampled to collect information onannual direct non-medical cost, indirect costs and annual number of hospitalization. Annual direct medical cost wasobtained by multiplying cost per hospitalization by annual number of hospitalization. Annual cost of illness （ACI）was obtained by adding the average value of annual direct medical cost, direct non-medical cost and indirect cost,stratified by sex, age, clinical stage, therapy and pathologic type in urban and rural areas. Costs per hospitalizationwere itemized into eight parts to calculate the proportion of each part. All costs were converted to 2016 US dollars（1 USD：6.6423 RMB）.Results： Totally 19,986 cases were included, predominately male. Mean ages of stomach cancer and urbanpatients were lower than that of esophageal cancer and rural patients. ACI of stomach and esophageal cancerpatients were $10,449 and $13,029 in urban areas, and $2,927 and $3,504 in rural areas, respectively. Greater ACIwas associated with male, non-elderly patients as well as those who were in stage I and underwent surgeries.Western medicine fee took the largest proportion of cost per hospitalization.Conclusions： The ACI of stomach and esophageal cancer was tremendous and varied substantially among thepopulation in China. Preferential policies of medical insurance should be designed to tackle with this burden andfurther reduce the health care inequalities.展开更多
Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and...Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and experiments is presented for accelerating the discovery of novel energetic materials.A high-throughput virtual screening(HTVS)system integrating on-demand molecular generation and machine learning models covering the prediction of molecular properties and crystal packing mode scoring is established.With the proposed HTVS system,candidate molecules with promising properties and a desirable crystal packing mode are rapidly targeted from the generated molecular space containing 25112 molecules.Furthermore,a study of the crystal structure and properties shows that the good comprehensive performances of the target molecule are in agreement with the predicted results,thus verifying the effectiveness of the proposed methodology.This work demonstrates a new research paradigm for discovering novel energetic materials and can be extended to other organic materials without manifest obstacles.展开更多
基金supported by the Special Fund for Health Research in the Public Interest (No. 201502001)
文摘Objective： Stomach and esophageal cancer are imposing huge threats to the health of Chinese people whereasthere were few studies on the financial burden of the two cancers.Methods： Costs per hospitalization of all patients with stomach or esophageal cancer discharged betweenSeptember 2015 and August 2016 in seven cities/counties in China were collected, together with their demographicinformation and clinical details. Former patients in the same hospitals were sampled to collect information onannual direct non-medical cost, indirect costs and annual number of hospitalization. Annual direct medical cost wasobtained by multiplying cost per hospitalization by annual number of hospitalization. Annual cost of illness （ACI）was obtained by adding the average value of annual direct medical cost, direct non-medical cost and indirect cost,stratified by sex, age, clinical stage, therapy and pathologic type in urban and rural areas. Costs per hospitalizationwere itemized into eight parts to calculate the proportion of each part. All costs were converted to 2016 US dollars（1 USD：6.6423 RMB）.Results： Totally 19,986 cases were included, predominately male. Mean ages of stomach cancer and urbanpatients were lower than that of esophageal cancer and rural patients. ACI of stomach and esophageal cancerpatients were $10,449 and $13,029 in urban areas, and $2,927 and $3,504 in rural areas, respectively. Greater ACIwas associated with male, non-elderly patients as well as those who were in stage I and underwent surgeries.Western medicine fee took the largest proportion of cost per hospitalization.Conclusions： The ACI of stomach and esophageal cancer was tremendous and varied substantially among thepopulation in China. Preferential policies of medical insurance should be designed to tackle with this burden andfurther reduce the health care inequalities.
基金the Science Challenge Project(TZ2018004)the National Natural Science Foundation of China(21875228 and 21702195)for financial support。
文摘Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and experiments is presented for accelerating the discovery of novel energetic materials.A high-throughput virtual screening(HTVS)system integrating on-demand molecular generation and machine learning models covering the prediction of molecular properties and crystal packing mode scoring is established.With the proposed HTVS system,candidate molecules with promising properties and a desirable crystal packing mode are rapidly targeted from the generated molecular space containing 25112 molecules.Furthermore,a study of the crystal structure and properties shows that the good comprehensive performances of the target molecule are in agreement with the predicted results,thus verifying the effectiveness of the proposed methodology.This work demonstrates a new research paradigm for discovering novel energetic materials and can be extended to other organic materials without manifest obstacles.
文摘目的:比较机器人辅助腹腔镜肾部分切除术(robot-assisted laparoscopic partial nephrectomy,RAPN)与腹腔镜肾部分切除术(laparoscopic partial nephrectomy,LPN)治疗复杂性肾肿瘤(R.E.N.A.L评分≥7分)患者的临床疗效。方法:收集2015年1月至2022年9月在重庆医科大学附属第一医院泌尿外科施行的RAPN及LPN治疗复杂性肾肿瘤的患者临床资料,依据手术方式不同分为RAPN组(n=91)与LPN组(n=92)。比较2组患者的临床病理特征及围术期结果。结果:183例肾肿瘤手术均成功完成,RAPN组与LPN组手术时间、术后血清肌酐变化百分比、输血率及切缘阳性率等比较,差异无统计学意义(P>0.05)。RAPN组在住院总时间[(11.3±4.3) d vs.(14.3±4.2) d]、术后住院时间[(5.0±2.6) d vs.(7.4±2.9) d]、术中出血量[(193.0±103.2) mL vs.(231.6±105.0) mL]及热缺血时间[(23.9±6.0) min vs.(28.1±6.6) min]均低于LPN组(P<0.05)。结论:机器人辅助手术系统拥有三维高清视野及灵活的机械臂,操作更为精细、准确,RAPN用于治疗复杂性肾肿瘤可减少术中出血量、缩短热缺血时间、缩短患者住院时间。
