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青少年龋齿增量预测的多因素建模

Multifactorial modeling for prediction of caries increment in adolescents.

作者信息

Raitio M, Pienihäkkinen K, Scheinin A

机构信息

Oulu Municipal Health Center, Finland.

出版信息

Acta Odontol Scand. 1996 Apr;54(2):118-21. doi: 10.3109/00016359609006016.

Abstract

The purpose of the study was to develop a multifactorial model for the prediction of 11-month caries increment in adolescents. The mean age of the subjects (n = 181) at the base-line examination was 13 years and 3 months. The risk indicators consisted of past caries experience, white spot lesions, visible plaque, gingivitis, salivary secretion rate, buffer effect, sucrase, mutans streptococci, lactobacilli, and Candida. The multifactorial modeling included all the above risk indicators, age, and gender and resulted in different models in boys and girls, indicating the difficulty of caries prediction in adolescents. When boys and girls were combined, the final model included past caries experience, Candida, and salivary sucrase. Although the accuracy of the model was slightly below the 80% level recommended for screening purposes, the results provide clinically valuable information. The risk of caries increases with an increasing number of positive tests within the model.

摘要

该研究的目的是建立一个多因素模型,用于预测青少年11个月内的龋齿增量。基线检查时受试者(n = 181)的平均年龄为13岁3个月。风险指标包括既往龋齿经历、白斑病变、可见菌斑、牙龈炎、唾液分泌率、缓冲作用、蔗糖酶、变形链球菌、乳酸杆菌和念珠菌。多因素建模纳入了上述所有风险指标、年龄和性别,结果在男孩和女孩中产生了不同的模型,这表明青少年龋齿预测存在困难。当将男孩和女孩合并时,最终模型包括既往龋齿经历、念珠菌和唾液蔗糖酶。尽管该模型的准确性略低于筛查目的推荐的80%水平,但结果提供了具有临床价值的信息。模型内阳性检测数量增加,龋齿风险也随之增加。

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