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结合自我报告信息与放射性骨损失来查牙周炎:一项绩效研究

José João Mendes1, Margarida Neves1, Clara Supiot1

  • 1Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, 2829-511 Almada, Portugal.

Journal of clinical medicine
|July 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究发现,将自我报告的牙周健康信息与放射性骨损失相结合,可以有效地查牙周炎. 这种双重方法提供了一个实用的方法来识别有风险的个人,当完整的考试不是.

关键词:
口腔健康是指口腔的健康状况.牙周病是一种牙周病.牙周炎是指牙周炎的一种疾病.预测模型 预测模型放射性牙周骨损失的牙周骨损失自我报告 自我报告

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科学领域:

  • 牙周病学 牙周病学
  • 诊断的准确性 诊断的准确性
  • 公共卫生查 公共卫生查

背景情况:

  • 牙周炎是一种流行的口腔疾病,需要有效的查方法.
  • 目前的查可能不是普遍可用的或可行的.
  • 评估综合诊断方法对于早期检测至关重要.

研究的目的:

  • 为了评估结合自报告的牙周病数据和放射性牙周病骨损失 (R-PBL) 的诊断性能,用于牙周炎的识别.
  • 为了比较单个和组合查指标的有效性.

主要方法:

  • 一项涉及150名成年参与者的探索性横截面研究.
  • 在R-PBL评估中使用了全景射线图和经过验证的自我报告问卷.
  • 分析了对2018年牙周炎病例定义的查性能,使用灵敏度,特异性,PPV,NPV和AUC.

主要成果:

  • R-PBL模型显示了牙周炎 (AUC:0.833) 和严重牙周炎 (AUC:0.796) 的最高预测性能.
  • 组合的"Either"模型显示了对R-PBL的相似灵敏度.
  • 决策曲线分析表明",R-PBL"和"Either"模型的临床效用优越.

结论:

  • 将自我报告的信息与放射性骨损失相结合,可以为牙周炎提供足够的查性能.
  • 这种双重查策略是一种可行的方法来识别高风险个体,特别是在资源有限的环境中.
  • 这些发现支持整合这些方法,以改善牙周炎的检测和管理.