Balevi Ben
Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Community Dent Oral Epidemiol. 2008 Oct;36(5):392-400. doi: 10.1111/j.1600-0528.2007.00419.x.
To perform a comprehensive decision-tree analysis for the management of the suspicious/incipient occlusal lesion on a molar tooth.
A quantitative decision tree was constructed to assess the expected utility value of three global strategies to dentally manage the incipient or suspicious occlusal carious lesion.
A preventive strategy offered an optimal expected utility value (0.98 utile) compared with the other two strategies of visual inspection (0.84 utile) or referring to one of four diagnostic tests (0.74-0.82 utile).
Although the general conclusion of this analysis agrees with current recommendations, this analysis offers a more complete mathematical model that provides a unified value for each strategy (i.e. expected utility value) thus allowing for complex quantitative comparison between strategies. This paper provides a specific example of how decision-tree analysis can be a powerful tool in guiding dental practice.
对磨牙上可疑/早期咬合病变的管理进行全面的决策树分析。
构建定量决策树,以评估三种整体策略在牙科管理早期或可疑咬合龋损方面的预期效用值。
与另外两种策略(视觉检查,效用值为0.84;或采用四种诊断测试之一,效用值为0.74 - 0.82)相比,预防策略提供了最优的预期效用值(0.98效用单位)。
尽管该分析的总体结论与当前建议一致,但此分析提供了一个更完整的数学模型,为每种策略提供了统一的值(即预期效用值),从而允许在策略之间进行复杂的定量比较。本文提供了一个具体例子,说明决策树分析如何能成为指导牙科实践的有力工具。