Related Experiment Video
Updated: Jul 11, 2026
07:15
Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
Published on: January 21, 2020
Selection bias in case-control studies on periodontitis: a systematic review
Rodrigo Lopez1, Flemming Scheutz, Marie Errboe
1Department of Community Oral Health and Pediatric Dentistry, Royal Dental College, Faculty of Health Sciences, University of Aarhus, Denmark. rlopez@odont.au.dk
European Journal of Oral Sciences
|September 14, 2007
Summary
Case-control studies on periodontitis often suffer from selection bias due to poor reporting. This research highlights inadequate methods in study design and control selection, impacting reliability.
Area of Science:
- Epidemiology
- Periodontology
Background:
- Case-control studies compare disease and exposure frequencies between diseased and control groups.
- These studies are valuable but susceptible to bias, particularly selection bias, if not conducted rigorously.
Purpose of the Study:
- To evaluate the reporting of case-control studies on periodontitis.
- To identify specific sources of selection bias in these studies.
Main Methods:
- Conducted an electronic literature search in PubMed, EMBASE, and Web of Science.
- Assessed case-control studies on periodontitis published in 2004 for indicators of selection bias.
Main Results:
- Few studies reported recruitment periods (31.1% cases, 20% controls), sampling methods (26.7% cases, 31.1% controls), or participation rates (8.9% cases, 6.7% controls).
- Appropriate control sources were used in 15.6% of studies, and adequate control selection strategies in only 8.9%.
Conclusions:
- Case-control studies investigating periodontitis are frequently inadequately conducted and reported.
- Significant deficiencies in reporting methods increase the risk of selection bias, compromising study validity.
Related Concept Videos
01:29Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
01:22Bias
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
01:26Introduction to Epidemiology
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
01:11Observational Studies
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
01:27The Oral Microbiota
The oral microbiome includes a complex ecosystem comprising over 700 microbial species, identified through genomic sequencing and culture-based analyses to date. This community includes a core microbiome, found universally among individuals, and a variable component influenced by environmental factors such as diet, lifestyle, and host genetics. Site-specific conditions, including oxygen gradients, pH levels, and nutrient availability, determine the spatial distribution of these microorganisms...
01:20Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.