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在大型队列研究中,使用牙科登记信息和问卷数据来评估牙周炎
Peter Persson1,2, Magnus Bladh3, Stanley Teleka1
1Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Journal of clinical periodontology
|August 19, 2025
概括
在大型研究中,注册数据有效地识别了严重的牙周炎. 这促进了牙周科研,为牙周炎病例识别提供了可靠的代理变量.
科学领域:
- 牙科研究 牙科研究
- 牙周病学 牙周病学
- 公共卫生 公共卫生
背景情况:
- 牙周炎研究受到广泛临床数据需求的限制.
- 代理变量对于扩大有关牙周炎的大规模队列研究至关重要.
- 验证现有数据源对于准确的流行病学研究至关重要.
研究的目的:
- 评估问卷单项和注册表数据的准确性,作为严重牙周炎 (III-IV阶段) 的代理数据.
- 评估牙科健康登记册 (DHR) 和瑞典牙和牙周病质量登记册 (SKaPa) 在牙周炎研究中的实用性.
- 为了确定是否将问卷数据与人口因素结合起来可以改善牙周炎的识别.
主要方法:
- 利用了马尔默后代牙科研究 (MODS) 995名参与者的数据.
- 将牙周检查和全景放射与问卷答复,DHR牙周治疗程序 (PTP) 和SKaPa探测深度数据进行比较.
- 定义的III-IV阶段牙周炎作为代理验证的参考标准.
主要成果:
- DHR PTP代理显示了III-IV期牙周炎的高正预测值 (88%) 和负预测值 (87%).
- SKaPa代理显示较低的积极预测值 (<70%),但可比的曲线下的面积 (AUC) 与DHR数据 (0.76比0.74).
- 问卷数据与年龄,性别,吸烟和教育相结合,实现了良好的区分能力 (AUC>0.75).
结论:
- 基于注册的数据,特别是来自DHR的数据,对于在大型队列中识别严重牙周炎病例是有效的.
- 这些验证的代理变量显著提高了大规模牙周科研的潜力.
- 这些发现支持在流行病学研究中使用例行收集的牙科数据.
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