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Related Experiment Video

Updated: May 29, 2026

Generation of a Three-dimensional Full Thickness Skin Equivalent and Automated Wounding

Generation of a Three-dimensional Full Thickness Skin Equivalent and Automated Wounding

Published on: February 26, 2015

Guided tissue regeneration: a decision-making model.

Jill Bashutski¹, Tae-Ju Oh, Hsun-Liang Chan

¹Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Room 3349, 1011 North University Avenue, Ann Arbor, Michigan 48109-1078, USA. jillbash@umich.edu

Journal of the International Academy of Periodontology

|September 15, 2011

Summary

This summary is machine-generated.

Guided tissue regeneration (GTR) can improve periodontal regeneration, but outcomes vary. Analyzing factors like patient health, defect type, and surgical technique can create evidence-based guidelines for consistent GTR success.

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Area of Science:

Periodontal regeneration
Biomaterials in dentistry
Regenerative medicine

Background:

Guided tissue regeneration (GTR) aims to achieve periodontal regeneration, a key objective in periodontal surgery.
While GTR shows promise, significant variability in outcomes is frequently reported.
This heterogeneity necessitates an analysis of factors influencing GTR success and the development of evidence-based guidelines.

Purpose of the Study:

To analyze factors influencing the success of guided tissue regeneration (GTR) in periodontal therapy.
To develop a decision-making model for GTR based on current evidence.
To provide insights for creating evidence-based treatment guidelines for GTR.

Main Methods:

A comprehensive review of English literature on guided tissue regeneration (GTR).
Inclusion of peer-reviewed journals, online resources, and textbooks.
Focus on factors affecting GTR outcomes, incorporating systematic reviews and meta-analyses.

Main Results:

Identified key factors influencing GTR outcomes: patient systemic conditions, patient compliance, periodontal defect characteristics, local oral environment factors, and surgical techniques/materials.
These factors were integrated into a decision-making model.

Conclusions:

A decision-making model for GTR was formulated based on analyzed evidence.
Emphasizes that meticulous case selection, considering influential variables, is crucial for minimizing inconsistency in GTR outcomes.