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Related Concept Videos

Assessment of the Mouth01:26

Assessment of the Mouth

A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
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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...

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Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
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Exploring periodontitis misclassification mechanisms under partial-mouth protocols.

Talal S Alshihayb1, Praveen Sharma2,3, Thomas Dietrich2,4

  • 1College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Journal of Clinical Periodontology
|March 5, 2022
PubMed
Summary

Partial-mouth protocols (PMPs) can misclassify periodontitis. Ranking teeth by clinical severity improves detection sensitivity, offering a better alternative for accurate periodontitis diagnosis.

Keywords:
biasmisclassificationperiodontal diseaseperiodontitissensitivity and specificity

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Area of Science:

  • Periodontology
  • Dental Public Health

Background:

  • Partial-mouth protocols (PMPs) are used for periodontitis assessment.
  • Potential for misclassification exists under PMPs.

Purpose of the Study:

  • Investigate periodontitis misclassification sources with PMPs.
  • Explore methods to improve PMP validity.

Main Methods:

  • Analyzed data from 10,680 adults (244,999 teeth) from NHANES.
  • Compared full-mouth vs. PMP parameters and case identification.
  • Developed PMPs based on population ranking of clinical severity.

Main Results:

  • Lingual inter-proximal sites showed higher sensitivity than buccal sites.
  • Common PMPs frequently misclassified severe periodontitis.
  • Ranking-based PMPs with 8 teeth had 70.1%-79.4% sensitivity; 14 teeth reached 90% sensitivity.

Conclusions:

  • Confirmed clinical symmetry and sources of misclassification.
  • Ranking teeth by clinical severity offers optimal sensitivity for severe periodontitis detection.
  • This ranking-based approach is a favorable alternative to current PMPs.