Managing periodontal team management, Part 4.

Dent Today

JP Consultants Institute, Woodland Hills, CA 91364, USA.

Published: August 1994

Download full-text PDF

Source

Publication Analysis

Top Keywords

managing periodontal
4
periodontal team
4
team management
4
managing
1
team
1
management
1

Similar Publications

Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China.

BMC Gastroenterol

March 2025

School of Public Health, Jiangxi Medical College, Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang, China.

Background: The objective was to develop a biological age prediction model (NC-BA) for the Chinese population to enrich the relevant studies in this population. And to investigate the association between accelerated age and NAFLD.

Methods: On the basis of the physical examination data of people without noninfectious chronic diseases (PWNCDs) in Nanchang, Jiangxi, China, the biological age measurement method was developed via three feature selection methods (all-subset regression, LASSO regression (LR), and recursive feature elimination) and three machine learning algorithms (generalized linear model (GLM), support vector machine, and deep generalized linear model (deep GLM)).

View Article and Find Full Text PDF

Cargo-less Nanoparticles Prevent Bone Loss in Periodontitis and Peri-implantitis.

J Dent Res

March 2025

Department of Cariology, Restorative Sciences, and Endodontics, School of Dentistry, University of Michigan, Ann Arbor, MI, USA.

Periodontal and peri-implant diseases are a significant public health problem worldwide, resulting in the destruction of the supporting bone. These bone defects can cause esthetic problems, increased relapse rate, and eventually tooth loss. The etiology of periodontal disease involves an influx of innate immune cells (neutrophils and monocytes) and upregulation of local inflammatory cytokines in the gingiva.

View Article and Find Full Text PDF

Objectives: This systematic review investigates the effectiveness of natural extracts with anti-inflammatory properties for improving oral health, particularly in managing gingivitis and periodontal disease (PD). With PD being a major global health issue, exacerbated by microbial dysbiosis and oxidative stress, the integration of phytochemicals and herbal formulations into periodontal therapy offers a promising avenue for adjunctive treatments.

Methods: A systematic review was conducted following PRISMA guidelines and registered under the International Prospective Register of Systematic Reviews (ID: 641944).

View Article and Find Full Text PDF

Periodontal disease, a prevalent oral inflammatory condition, is implicated in exacerbating systemic diseases. However, the molecular mechanisms underlying this association remain unclear. In this study, we performed RNA sequencing of gingival tissue samples collected from a mouse model of periodontal disease at multiple time points to investigate dynamic transcriptomic changes during disease progression.

View Article and Find Full Text PDF

Background: Periodontitis is the leading cause of tooth loss in adults due to progressive bone destruction, which is closely related to the dysfunction of bone mesenchymal stem cells (BMSCs). Existing evidence suggests that mitochondrial disorders are associated with periodontitis. However, whether mitochondrial dysregulation contributes to the osteogenic impairment of BMSCs and the underlying mechanisms remain unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!