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作 者:陈国昌[1] 毛伯能[1] 刘芊[1] 钱佶[1] 刘雷[1]
机构地区:[1]江苏大学附属宜兴医院消化内科,江苏省宜兴市214200
出 处:《世界华人消化杂志》2013年第35期4043-4049,共7页World Chinese Journal of Digestology
基 金:无锡市科学技术局基金资助项目;No.CSZ00N1248~~
摘 要:目的:建立苏南地区无症状人群结直肠肿瘤发生风险评分系统,并评价其筛查效能.方法:以接受结肠镜检查的苏南地区籍无症状人群为研究对象,通过面对面调查获取其人口学特征、既往疾病史、吸烟史、饮酒史、饮食习惯等信息.采用多元Logistic回归分析方法建立结直肠肿瘤发生风险预测模型.根据模型中各变量的值赋予分值,建立结直肠肿瘤发生风险评分系统,并进行内部人群验证.通过预测一致性、区分能力和筛查准确度评价评分系统的筛查效能.结果:共纳入905例合格研究对象.所建立的评分系统由年龄、吸烟、饮酒3个变量组成,分值范围为0-6分,其预测的一致性好(P=0.093),区分能力较好(受试者工作特性曲线下面积为0.65,95%CI:0.61-0.69).以1.5分作为筛查界值,其敏感度、特异度、准确率、阳性预测值、阴性预测值、阳性似然比、阴性似然比分别为65.1%、57.2%、59.9%、44.4%、75.7%、1.52和0.61.结论:所建立的结直肠肿瘤发生风险评分系统具有较好的筛查效能,可以作为结直肠肿瘤的初筛工具,应用于苏南地区无症状平均风险人群的结直肠肿瘤筛查.AIM: To develop a prediction rule to stratify risk for colorectal neoplasms in asymptomatic individuals in southern Jiangsu province, and to evaluate its screening efficiency. METHODS: Asymptomatic persons in southern Jiangsu province who had complete colonos-copy data were included in this study. All par-ticipants were asked to complete a questionnaire which covered information on potential risk factors, including demographic characteristics, medical history, smoking, alcohol consumption, dietary intake, and other factors that may be associated with colorectal neoplasms. A mul- tivariable logistic regression method was used to identify independent predictors of colorectal neoplasms. A prediction rule was developed from the logistic regression model by using a regression coefficient-based scoring method, and then internally validated. The screening effi-ciency of the prediction rule was assessed by its calibration, discrimination, and accuracy. RESULTS: A total of 905 asymptomatic persons were included in this study. The prediction rule comprised three variables (age, smoking, and alcohol consumption), with scores ranging from 0 to 6. The prediction rule had good calibration (P = 0.093) and good discrimination (area under the receiver operating characteristic curve = 0.65, 95%CI: 0.61-0.69). When a score of 1.5 was used as the screening cutoff value, the sensitivity, spec-ificity, accuracy, positive predictive value, nega-tive predictive value, positive likelihood ratio, and negative likelihood ratio were 65.1%, 57.2%, 59.9%, 44.4%, 75.7%, 1.52, and 0.61, respectively. CONCLUSION: The developed prediction rule had good screening efficiency and, thus, can be used as a preliminary method to screen colorec-tal neoplasms in asymptomatic individuals in southern Jiangsu province.
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