Related Experiment Video
Updated: Mar 17, 2026
06:36
Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness
Published on: March 14, 2025
981
Epidemiological Data and Survival Rate of Removable Partial Dentures
Amália Moreno1, Marcela Filié Haddad2, Marcelo Coelho Goiato3
1Associate Professor, Department of Dental Clinical, Oral Surgery and Pathology, School of Dentistry, UFMG - Univ Federal de Minas Gerais, Dental School , Belo Horizonte, Minas Gerais, Brazil .
Journal of Clinical and Diagnostic Research : JCDR
|July 21, 2016
Summary
Removable partial dentures (RPDs) are a common, low-cost solution for missing teeth. A well-developed treatment plan is crucial for successful RPD outcomes and longevity, particularly for Kennedy Class I cases.
Area of Science:
- Dental Prosthodontics
- Public Health Dentistry
Background:
- Removable partial denture (RPD) treatment is a prevalent and cost-effective method for addressing edentulous areas.
- Understanding patient demographics and treatment patterns is essential for optimizing RPD therapy.
Purpose of the Study:
- To analyze epidemiological data of patients receiving RPDs.
- To evaluate the survival rates and identify failure factors associated with RPD treatment.
Main Methods:
- Retrospective analysis of patient records (2000-2012) from a Brazilian university.
- Data collected included patient demographics, systemic health, chief complaints, edentulous arch characteristics, and prosthesis details.
- Statistical analysis employed chi-square tests and Kaplan-Meier survival analysis.
Main Results:
- A total of 756 RPDs (324 maxillary, 432 mandibular) were analyzed.
- The majority of patients were women aged 41-60.
- Mandibular RPDs, particularly Kennedy Class I, were more frequent (26%).
Conclusions:
- A significant patient population requires RPDs, with Kennedy Class I being the most common type.
- Effective treatment planning is directly correlated with positive treatment outcomes and RPD survival rates.
More Related Videos
Related Concept Videos
01:20Actuarial Approach
356
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
356
01:18Introduction To Survival Analysis
920
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...
The primary goal of survival analysis is to estimate survival time—the time...
920
01:15Assumptions of Survival Analysis
475
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
475
01:15Teeth
2.1K
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...
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...
2.1K
01:09Censoring Survival Data
628
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
628
01:24Kaplan-Meier Approach
692
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
692