目的分析当前版本华西肠癌数据库(Database from Colorectal Cancer,DACCA)中结直肠癌患者居住地与新辅助治疗的依从性、方案决策和疗效的关系。方法根据制定的筛选条件,从2022年6月29日更新版DACCA中收集符合研究条件的结直肠癌患者,...目的分析当前版本华西肠癌数据库(Database from Colorectal Cancer,DACCA)中结直肠癌患者居住地与新辅助治疗的依从性、方案决策和疗效的关系。方法根据制定的筛选条件,从2022年6月29日更新版DACCA中收集符合研究条件的结直肠癌患者,按居住地分为四川省内和四川省外(后文简称“省内和省外”)以及四川省内的成都市内与成都市外(后文简称“市内和市外”)进行分析,了解不同居住地结直肠癌患者对新辅助治疗的依从性、方案决策及疗效(疗效指标包括癌标志物癌胚抗原、症状变化及影像变化)的差异。结果本研究共收集到符合筛选条件的数据3574条,其中省内3142条(87.91%)、省外432条(12.09%);市内1340条(42.65%)、市外1802条(57.35%)。(1)对于新辅助治疗的依从性:省内和省外以及市内和市外患者间比较差异均无统计学意义(χ^(2)=0.299,P=0.585;χ^(2)=3.109,P=0.078)。(2)对于新辅助治疗的方案决策的影响:是否加靶向治疗方面,省内和省外患者间比较差异有统计学意义(χ^(2)=5.047,P=0.025),而市内和市外患者间比较差异无统计学意义(χ^(2)=0.091,P=0.762);是否加放射治疗方面,省内和省外以及市内和市外患者间比较差异均无统计学意义(χ^(2)=2.215,P=0.137;χ^(2)=2.964,P=0.085);在新辅助化疗强度方面,省内和省外患者间比较差异有统计学意义(χ^(2)=12.472,P=0.002),而市内和市外患者间比较差异无统计学意义(χ^(2)=2.488,P=0.288)。(3)对于治疗效果:癌胚抗原变化,在省内和省外以及市内和市外患者间比较差异均无统计学意义(H=1.762,P=0.184;H=3.531,P=0.060);症状变化按“缓解”和“未缓解”进行二分类分析时,省内和省外患者间比较差异有统计学意义(χ^(2)=3.896,P=0.048),市内和市外患者间比较差异无统计学意义(χ^(2)=0.016,P=0.900);影像变化分为“缓解”和“未缓解”进行二分类分析时,市内和市外患者间比较差异有统计�展开更多
The main purpose of this study was to examine the association between sociodemographic factors (gender, place of residence, level of education, geopolitical zone, and socioeconomic status) and HCT uptake among young p...The main purpose of this study was to examine the association between sociodemographic factors (gender, place of residence, level of education, geopolitical zone, and socioeconomic status) and HCT uptake among young people in Nigeria. The study is a quantitative research guided by one research question and one hypothesis. The target population comprised young people in Nigeria ages 15 to 24 years because the focus of this study was to identify the factors affecting HCT uptake among young people in this age cohort. The representative sample was obtained from the updated master sample frame of rural and urban zones developed by the National Population Commission in Nigeria. This master sample frame was a national survey that comprises all 36 states in Nigeria. Probability sampling technique was used to obtain a sample of 10,091 respondents (ages 15 to 24 years) for the study. The multistage cluster sampling was used to select suitable young people with known probability. Data were collected throughout Nigeria between September and December 2012 from 32,543 households (rural = 22,192;urban = 10,351) using structured and semi-structured questionnaires. The individual questionnaires asked about household characteristics, background characteristics of the respondents. Data were analyzed by inputting them into SPSS v21.0 for analysis and then coded them for each participant. The data were summed using descriptive statistics. Frequencies and percentages;measures of central tendencies were used to answer the research question while nonparametric test such as chi-square was used to analyze non-normally distributed data at 0.5 level of significance. Results of data analysis indicated that the sociodemographic variables of gender, place of residence, level of education, geopolitical zone, and SES were significantly associated with HCT uptake. Among others, it was recommended that examining the efficacy of HCT treatments in Nigeria, along with conducting a demographic analysis of the at-risk population, could be beneficial in展开更多
目的分析目前版本的华西肠癌数据库(Database from Colorectal Cancer,DACCA)中,四川大学华西医院作为区域性中心所服务的结直肠患者人群的居住地与肿瘤学特征的关系。方法本次数据分析选取的DACCA版本为2022年1月5日更新版,其中分析的...目的分析目前版本的华西肠癌数据库(Database from Colorectal Cancer,DACCA)中,四川大学华西医院作为区域性中心所服务的结直肠患者人群的居住地与肿瘤学特征的关系。方法本次数据分析选取的DACCA版本为2022年1月5日更新版,其中分析的数据项目包括:居住地、癌前病变、癌家族史、肿瘤部位、肿瘤形态、肿瘤方位、肿瘤病理学性质、肿瘤分化程度和术前TNM分期。根据数据库中结直肠癌患者居住地的区域分布划分为四川组和非四川组,四川组又分为四川成都组和四川非成都组。结果按照条件筛选DACCA数据库获得7232条有效数据。①不同居住地癌前病变的构成比:四川组与非四川组比较差异有统计学意义(χ^(2)=14.462,P=0.003),四川成都组与四川非成都组比较差异无统计学意义(χ^(2)=7.591,P=0.101)。②不同居住地癌家族史的构成比:在本人癌家族史中,四川组与非四川组以及四川成都组与四川非成都组比较差异均无统计学意义(χ^(2)=1.121,P=0.606;χ^(2)=1.047,P=0.621);在亲属癌家族史中,四川组与非四川组以及四川成都组与四川非成都组的亲属癌家族史中不同肿瘤病史构成比的差异均无统计学意义(χ^(2)=0.813,P=0.692;χ^(2)=2.696,P=0.262)。③不同居住地肿瘤部位构成比:四川组和非四川组比较差异无统计学意义(χ^(2)=0.476,P=0.490),四川成都组和四川非成都组比较差异有统计学意义(χ^(2)=36.216,P<0.001)。④不同居住地肿瘤形态构成比:四川组和非四川组比较差异有统计学意义(χ^(2)=19.560,P<0.001),四川成都组和四川非成都组比较差异无统计学意义(χ^(2)=5.377,P=0.247)。⑤不同居住地肿瘤方位构成比:四川组与非四川组以及四川成都组与四川非成都组之间肿瘤方位的构成比差异均有统计学意义(χ^(2)=17.484,P=0.005;χ^(2)=26.820,P<0.001)。⑥不同居住地肿瘤病理学性质构成比:四川组与非四川组以及四川成都组展开更多
文摘目的分析当前版本华西肠癌数据库(Database from Colorectal Cancer,DACCA)中结直肠癌患者居住地与新辅助治疗的依从性、方案决策和疗效的关系。方法根据制定的筛选条件,从2022年6月29日更新版DACCA中收集符合研究条件的结直肠癌患者,按居住地分为四川省内和四川省外(后文简称“省内和省外”)以及四川省内的成都市内与成都市外(后文简称“市内和市外”)进行分析,了解不同居住地结直肠癌患者对新辅助治疗的依从性、方案决策及疗效(疗效指标包括癌标志物癌胚抗原、症状变化及影像变化)的差异。结果本研究共收集到符合筛选条件的数据3574条,其中省内3142条(87.91%)、省外432条(12.09%);市内1340条(42.65%)、市外1802条(57.35%)。(1)对于新辅助治疗的依从性:省内和省外以及市内和市外患者间比较差异均无统计学意义(χ^(2)=0.299,P=0.585;χ^(2)=3.109,P=0.078)。(2)对于新辅助治疗的方案决策的影响:是否加靶向治疗方面,省内和省外患者间比较差异有统计学意义(χ^(2)=5.047,P=0.025),而市内和市外患者间比较差异无统计学意义(χ^(2)=0.091,P=0.762);是否加放射治疗方面,省内和省外以及市内和市外患者间比较差异均无统计学意义(χ^(2)=2.215,P=0.137;χ^(2)=2.964,P=0.085);在新辅助化疗强度方面,省内和省外患者间比较差异有统计学意义(χ^(2)=12.472,P=0.002),而市内和市外患者间比较差异无统计学意义(χ^(2)=2.488,P=0.288)。(3)对于治疗效果:癌胚抗原变化,在省内和省外以及市内和市外患者间比较差异均无统计学意义(H=1.762,P=0.184;H=3.531,P=0.060);症状变化按“缓解”和“未缓解”进行二分类分析时,省内和省外患者间比较差异有统计学意义(χ^(2)=3.896,P=0.048),市内和市外患者间比较差异无统计学意义(χ^(2)=0.016,P=0.900);影像变化分为“缓解”和“未缓解”进行二分类分析时,市内和市外患者间比较差异有统计�
文摘The main purpose of this study was to examine the association between sociodemographic factors (gender, place of residence, level of education, geopolitical zone, and socioeconomic status) and HCT uptake among young people in Nigeria. The study is a quantitative research guided by one research question and one hypothesis. The target population comprised young people in Nigeria ages 15 to 24 years because the focus of this study was to identify the factors affecting HCT uptake among young people in this age cohort. The representative sample was obtained from the updated master sample frame of rural and urban zones developed by the National Population Commission in Nigeria. This master sample frame was a national survey that comprises all 36 states in Nigeria. Probability sampling technique was used to obtain a sample of 10,091 respondents (ages 15 to 24 years) for the study. The multistage cluster sampling was used to select suitable young people with known probability. Data were collected throughout Nigeria between September and December 2012 from 32,543 households (rural = 22,192;urban = 10,351) using structured and semi-structured questionnaires. The individual questionnaires asked about household characteristics, background characteristics of the respondents. Data were analyzed by inputting them into SPSS v21.0 for analysis and then coded them for each participant. The data were summed using descriptive statistics. Frequencies and percentages;measures of central tendencies were used to answer the research question while nonparametric test such as chi-square was used to analyze non-normally distributed data at 0.5 level of significance. Results of data analysis indicated that the sociodemographic variables of gender, place of residence, level of education, geopolitical zone, and SES were significantly associated with HCT uptake. Among others, it was recommended that examining the efficacy of HCT treatments in Nigeria, along with conducting a demographic analysis of the at-risk population, could be beneficial in
文摘目的分析目前版本的华西肠癌数据库(Database from Colorectal Cancer,DACCA)中,四川大学华西医院作为区域性中心所服务的结直肠患者人群的居住地与肿瘤学特征的关系。方法本次数据分析选取的DACCA版本为2022年1月5日更新版,其中分析的数据项目包括:居住地、癌前病变、癌家族史、肿瘤部位、肿瘤形态、肿瘤方位、肿瘤病理学性质、肿瘤分化程度和术前TNM分期。根据数据库中结直肠癌患者居住地的区域分布划分为四川组和非四川组,四川组又分为四川成都组和四川非成都组。结果按照条件筛选DACCA数据库获得7232条有效数据。①不同居住地癌前病变的构成比:四川组与非四川组比较差异有统计学意义(χ^(2)=14.462,P=0.003),四川成都组与四川非成都组比较差异无统计学意义(χ^(2)=7.591,P=0.101)。②不同居住地癌家族史的构成比:在本人癌家族史中,四川组与非四川组以及四川成都组与四川非成都组比较差异均无统计学意义(χ^(2)=1.121,P=0.606;χ^(2)=1.047,P=0.621);在亲属癌家族史中,四川组与非四川组以及四川成都组与四川非成都组的亲属癌家族史中不同肿瘤病史构成比的差异均无统计学意义(χ^(2)=0.813,P=0.692;χ^(2)=2.696,P=0.262)。③不同居住地肿瘤部位构成比:四川组和非四川组比较差异无统计学意义(χ^(2)=0.476,P=0.490),四川成都组和四川非成都组比较差异有统计学意义(χ^(2)=36.216,P<0.001)。④不同居住地肿瘤形态构成比:四川组和非四川组比较差异有统计学意义(χ^(2)=19.560,P<0.001),四川成都组和四川非成都组比较差异无统计学意义(χ^(2)=5.377,P=0.247)。⑤不同居住地肿瘤方位构成比:四川组与非四川组以及四川成都组与四川非成都组之间肿瘤方位的构成比差异均有统计学意义(χ^(2)=17.484,P=0.005;χ^(2)=26.820,P<0.001)。⑥不同居住地肿瘤病理学性质构成比:四川组与非四川组以及四川成都组
