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首页> 外文期刊>Journal of clinical periodontology >Prediction of periodontal disease: Modelling and validation in different general German populations
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Prediction of periodontal disease: Modelling and validation in different general German populations

机译:牙周疾病的预测:在德国不同人群中的建模和验证

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Aim To develop models for periodontitis using self-reported questions and to validate them externally. Methods The Study of Health in Pomerania (SHIP-0) was used for model development. Periodontitis was defined according to the definitions of the Center for Disease Control and Prevention-American Academy of Periodontology, the 5th European Workshop in Periodontology, and Dietrich et al. (≥2 teeth with inter-proximal clinical attachment loss of ≥4 mm and 6 mm as moderate and severe periodontitis) respectively. These models were validated in SHIP-Trend and the Fourth German Oral Health Study (DMS IV). Results Final models included age, gender, education, smoking, bleeding on brushing and self-reported presence of mobile teeth. Concordance-statistics (C-statistics) of the final models from SHIP-0 were 0.84, 0.82 and 0.85 for the three definitions respectively. Validation in SHIP-Trend revealed C-statistics of 0.82, 0.81 and 0.82 respectively. As bleeding on brushing and presence of mobile teeth were unavailable in DMS IV, reduced models were developed. C-statistics of reduced models were 0.82, 0.81 and 0.83 respectively. Validation in DMS IV revealed C-statistics of 0.72, 0.78 and 0.72 for the three definitions respectively. All p values of the goodness-of-fit tests were >0.05. Conclusions The models yielded a moderate usefulness for prediction of periodontitis.
机译:目的使用自我报告的问题开发牙周炎模型,并在外部进行验证。方法采用《波美拉尼亚健康研究》(SHIP-0)进行模型开发。牙周炎是根据疾病控制和预防中心-美国牙周病学会,第五届欧洲牙周病学研讨会以及Dietrich等人的定义定义的。 (中度和重度牙周炎分别≥2颗牙,近邻临床附着丧失≥4 mm和6 mm)。这些模型在SHIP-Trend和第四次德国口腔健康研究(DMS IV)中得到了验证。结果最终模型包括年龄,性别,教育程度,吸烟,刷牙出血和自我报告的活动牙齿的存在。对于这三个定义,SHIP-0最终模型的一致性统计量(C统计量)分别为0.84、0.82和0.85。 SHIP-Trend中的验证显示C统计量分别为0.82、0.81和0.82。由于在DMS IV中无法获得刷牙时的出血和活动牙齿的存在,因此开发了简化的模型。简化模型的C统计量分别为0.82、0.81和0.83。在DMS IV中的验证显示,这三个定义的C统计量分别为0.72、0.78和0.72。拟合优度检验的所有p值均> 0.05。结论该模型对牙周炎的预测具有中等程度的实用性。

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