牙周治疗后重新评估的时间:一项随机临床试验
Walter Castelluzzo1, Cosimo Rupe1, Michele Nieri1
1Department of Experimental and Clinical Medicine, Research Unit in Periodontology and Periodontal Medicine, University of Florence, Florence, Italy.
Journal of periodontal research
|February 10, 2026
概括
在3个月或6个月重新评估牙周炎治疗时,在临床结果或患者生活质量方面没有显著差异. 然而,非手术性牙周治疗 (NSPT) 与骨内缺陷作斗争.
科学领域:
- 牙周病学 牙周病学
- 临床牙科 临床牙科
- 口腔健康研究研究 口腔健康研究
背景情况:
- 牙周炎是一种慢性炎症性疾病,影响牙支结构.
- 有效的治疗包括下仪器仪器来去除细菌斑块和结石.
- 治疗后重新评估时间可以影响治疗成功的感知.
研究的目的:
- 为了比较III/IV阶段牙周炎下牙仪器仪表后临床和患者报告的结果.
- 评估3个月和6个月的再评估期对治疗结果的影响.
- 确定影响最终牙周结局的临床和放射性因素.
主要方法:
- 40名患有III/IV期牙周炎的参与者被随机分为3个月 (对照) 或6个月 (测试) 的再评估组.
- 非手术性牙周治疗 (NSPT) 作为步骤1-2进行.
- 主要结果:达到治疗终点 (EoT) 的牙数量;次要结果:临床参数和OHIP-14分数.
主要成果:
- 在3个月 (65.8%) 和6个月 (64.9%) 组之间,牙达到EoT没有发现统计学上显著的差异.
- 两组之间没有观察到在实现EdT的地点百分比或最终OHIP-14分数上有显著差异.
- 较高的基线探测深度,斑块指数,牙存在,裂参与和骨内缺陷与残留口袋有关.
结论:
- 在3个月或6个月的重新评估时间没有影响这个牙周炎队列中的临床或以患者为中心的结果.
- 在具有骨内缺陷的地点,NSPT在实现EdT方面表现出局限性.
- 具有水平骨缺陷的部位更有可能达到EoT.
相关概念视频
Clinical Trials
10.9K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
10.9K
Clinical Trials: Overview
5.0K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.0K
Statistical Software for Data Analysis and Clinical Trials
1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
Trial and Error and Algorithm
429
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
429
Random Error
9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K


