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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Indicators02:39

Indicators

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Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are...
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Introduction To Survival Analysis01:18

Introduction To Survival Analysis

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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...
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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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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...
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Truncation in Survival Analysis01:09

Truncation in Survival Analysis

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Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
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Longitudinal Research02:20

Longitudinal Research

13.3K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Related Experiment Video

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Experimental Model of Ligature-Induced Peri-Implantitis in Mice
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Longitudinal study on risk indicators for peri-implantitis using survival-time analysis.

Tomoaki Mameno1, Masahiro Wada1, Yoshinobu Onodera2

  • 1Osaka University Graduate School of Dentistry, Department of Prosthodontics, Gerodontology and Oral Rehabilitation, Suita, Japan.

Journal of Prosthodontic Research
|January 3, 2019
PubMed
Summary

This study found that inadequate plaque control, placement in the maxilla, and fewer occlusal supports increase peri-implantitis risk. Age was also a factor, with older patients showing a lower risk of developing this condition.

Keywords:
Longitudinal studyPeri-implant mucositisPeri-implantitis

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Area of Science:

  • Dental Implantology
  • Periodontology
  • Biomaterials Science

Background:

  • Peri-implantitis is a significant complication following dental implant placement.
  • Identifying risk factors is crucial for improving long-term implant success rates.

Purpose of the Study:

  • To determine the incidence of peri-implantitis in a cohort of patients with dental implants.
  • To identify potential risk indicators associated with the development of peri-implantitis.

Main Methods:

  • A longitudinal study involving 477 patients and 1420 dental implants.
  • Evaluation of patient medical/dental histories, implant characteristics, and peri-implant tissue parameters.
  • Radiographic assessment of bone resorption and statistical analysis using mixed-effects Cox models.

Main Results:

  • Peri-implantitis affected 15.3% of patients and 9.2% of implants.
  • Significant risk indicators for peri-implantitis included inadequate plaque control (PCR >20%), maxillary placement, and fewer occlusal supports.
  • Older age was associated with a reduced risk of peri-implantitis.

Conclusions:

  • Age, poor plaque control, maxillary implant placement, and reduced occlusal support are significant risk indicators for peri-implantitis.
  • These findings can inform clinical decision-making and patient management strategies to mitigate peri-implantitis risk.