Related Experiment Videos
Sequential analysis applied to clinical trials in dentistry: a systematic review
P Bogowicz1, C Flores-Mir, P W Major
1Faculty of Science, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta T6G 2N8, Canada.
Evidence-Based Dentistry
|June 28, 2008
Summary
Sequential analysis offers ethical and economic advantages for clinical trials. This review found its use in dentistry trials is limited but feasible for future applications.
Area of Science:
- Dental Research
- Clinical Trials Methodology
- Statistical Analysis
Background:
- Sequential analysis provides ethical and economic benefits in clinical trials.
- Resource limitations in dentistry necessitate efficient trial designs.
- Ensuring ethical patient treatment is paramount in clinical research.
Purpose of the Study:
- To systematically review and characterize the application of sequential analysis in dental clinical trials.
- To assess the current utilization of sequential analysis within various dental specialties.
- To identify trends and potential for future adoption of sequential analysis in dentistry.
Main Methods:
- Systematic literature search of databases from 1900 to January 2008.
- Inclusion criteria: dental clinical trials employing any form of sequential analysis.
- Independent selection by two authors, reviewing 18 selected trials.
Main Results:
- Eighteen dental clinical trials utilizing sequential analysis were identified across diverse specialties.
- A wide range of dental interventions were covered in the included trials.
- Sequential analysis appears to be underutilized in dental clinical trials.
Conclusions:
- Sequential analysis is currently underused in dental clinical trials.
- Sufficient methodological resources exist to support future applications of sequential analysis in dentistry.
- Further adoption of sequential analysis could enhance ethical and economic efficiencies in dental research.
Related Concept Videos
01:16Clinical Trials
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...
01:11Clinical Trials: Overview
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...
01:15Teeth
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...
01:18Introduction To Survival Analysis
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
The primary goal of survival analysis is to estimate survival time—the time until a...