报告CONSORT流程图的平行组随机对照试验,发表在正统牙科期刊上
Marianna Koufatzidou1, Ilias Karveleas2, Ioanna Mitsika3
1Private Practice, Piraeus, Greece.
European journal of orthodontics
|April 16, 2025
概括
在正牙随机临床试验 (RCT) 中报告CONSORT流图需要改进. 虽然包含性增加了,但许多图表缺乏完整性,有可能对试验结果产生偏见的解释.
科学领域:
- 临床试验方法论 临床试验方法论
- ортодонтика研究标准 ортодонтика研究标准
背景情况:
- 康索特指南要求在随机临床试验 (RCT) 中使用参与者流程图.
- 评估正义牙科RCT中流程图报告的质量对于透明度至关重要.
- 这项研究评估了在正学期刊中遵守CONSORT流动图标准的情况.
研究的目的:
- 评估正义牙科RCT中流程图的报告质量.
- 评估对并行组RCT的CONSORT流程图的合规性.
- 识别与流程图的存在和完整性相关的因素.
主要方法:
- 在五个正统牙科期刊 (2011-2023) 中发表的334个RCT进行了审查.
- 根据CONSORT模板对流程图的完整性进行评估.
- 使用描述性统计,交叉表格和物流回归.
主要成果:
- 69.8%的RCT包括流程图,但只有48.1%完全符合CONSORT标准.
- 在流程图存在与期刊类型,协议可用性,统计师参与等之间发现了重要的关联.
- 包含流程图的几率每年都在增加 (OR: 1.47).
结论:
- 尽管有所改进,但在正义牙科RCT中包括流程图和报告仍需要改进.
- 期刊编辑必须确保完整的CONSORT流程图,以防止有偏见的解释.
- 坚持CONSORT指导方针对于强大的正牙研究至关重要.
相关概念视频
01:13Randomized Experiments
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Simple randomization
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01:16Crossover Experiments
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
01:20Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...