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牙槽骨水平变化的影像学定量分析。纵向骨丢失的预测因素。

Radiographic quantification of alveolar bone level changes. Predictors of longitudinal bone loss.

作者信息

Albandar J M, Rise J, Abbas D K

出版信息

Acta Odontol Scand. 1987 Feb;45(1):55-9. doi: 10.3109/00016358709094354.

DOI:10.3109/00016358709094354
PMID:3471035
Abstract

The purpose of the present study was to determine the relative importance of a set of predictors for the radiographic change in alveolar bone level over 2 years in a group of 180 subjects and to assess the fit of the applied multivariate model. The included predictors were age, sex, initial bone level, type of initial lesion, tooth type, proximal tooth surface, calculus, and the presence of metal crowns or proximal fillings. The multivariate method of choice was multiple classification analysis. The results indicated that in descending order tooth type, initial bone level, and age were the most important predictors. Sex, calculus, and crown and filling margins also showed significant direct effects (beta) on longitudinal bone loss (p less than 0.05). However, their relative importance was far less than that of tooth type, initial bone level, and age. Proximal side showed no significant direct effect. Using seven predictors, the applied multivariate model explained 20% of the variance in longitudinal bone loss.

摘要

本研究的目的是确定一组预测因素对180名受试者牙槽骨水平在2年内的影像学变化的相对重要性,并评估所应用的多变量模型的拟合度。纳入的预测因素包括年龄、性别、初始骨水平、初始病变类型、牙齿类型、邻面牙齿表面、牙石以及金属冠或邻面充填物的存在情况。所选用的多变量方法是多重分类分析。结果表明,按重要性降序排列,牙齿类型、初始骨水平和年龄是最重要的预测因素。性别、牙石以及冠和充填物边缘对纵向骨丢失也显示出显著的直接影响(β值)(p小于0.05)。然而,它们的相对重要性远低于牙齿类型、初始骨水平和年龄。邻面未显示出显著的直接影响。使用七个预测因素,所应用的多变量模型解释了纵向骨丢失方差的20%。

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