用多重推算法估算流行病学研究中的牙周炎易感病例

IF 2.2 Q2 DENTISTRY, ORAL SURGERY & MEDICINE

JDR Clinical & Translational Research Pub Date : 2024-10-01 Epub Date: 2024-03-14 DOI:10.1177/23800844241228277

L Zhang, M Xiao, H Chu, G A Kotsakis, W Guan

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引用次数: 0

摘要

知识转移声明：我们提出的牙周炎易感病例估计值解决了缺失牙齿的问题，通过一种生成性缺失数据估算模型提供了一种创新的解决方案。我们研究结果的意义在于促进对牙周健康与系统性疾病之间的关系进行更有力的调查，从而为临床医生做出明智决策提供有价值的见解。此外，这项研究对临床实践和公共卫生干预措施的影响将进一步强化卫生政策战略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimating Periodontitis Susceptibility Cases for Epidemiological Studies with Multiple Imputation.

Knowledge transfer statement: Our proposed estimate of periodontitis susceptibility cases addresses the issue of missing teeth, offering an innovative solution through a generative missing data imputation model. The implications of our findings extend to fostering more robust investigations into the relationships between periodontal health and systemic diseases, thereby offering valuable insights to clinicians for informed decision-making. Moreover, the study's capacity to shape clinical practices and interventions in public health will further fortify health policy strategies.

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来源期刊

JDR Clinical & Translational Research DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

6.20

自引率

6.70%

发文量

期刊介绍： JDR Clinical & Translational Research seeks to publish the highest quality research articles on clinical and translational research including all of the dental specialties and implantology. Examples include behavioral sciences, cariology, oral & pharyngeal cancer, disease diagnostics, evidence based health care delivery, human genetics, health services research, periodontal diseases, oral medicine, radiology, and pathology. The JDR Clinical & Translational Research expands on its research content by including high-impact health care and global oral health policy statements and systematic reviews of clinical concepts affecting clinical practice. Unique to the JDR Clinical & Translational Research are advances in clinical and translational medicine articles created to focus on research with an immediate potential to affect clinical therapy outcomes.