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Predictability and Clinical Stability of Barrier Membranes in Treatment of Periodontal Intrabony Defects: A Systematic Review and Meta-Analysis

Applied Sciences (Switzerland), ISSN: 2076-3417, Vol: 12, Issue: 10
2022
  • 2
    Citations
  • 0
    Usage
  • 9
    Captures
  • 1
    Mentions
  • 33
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
  • Captures
    9
  • Mentions
    1
    • Blog Mentions
      1
      • Blog
        1
  • Social Media
    33
    • Shares, Likes & Comments
      33
      • Facebook
        33

Article Description

The adjunctive use of GTR membranes helps us to achieve predictable periodontal regen-eration. The aim of this systematic review was to evaluate and compare the treatment efficacy of resorbable versus non-resorbable barrier membranes used in guided tissue regeneration in the treat-ment of intrabony defects in chronic periodontitis patients. The following databases were searched: Medline, the Cochrane Central Register of Controlled Trails (CENTRAL), SCOPUS, EMBASE. Ran-domized clinical trials (RCTs) published in English languages over the past 25 years were included. The primary outcomes assessed were: Change of probing pocket depth (PD), change in clinical attach¬ment level (CAL) and gingival recession coverage (GRC), and intrabony defect fill (IBDF). A total of eight RCTs were included for systematic review. The outcome of GR at a six-month interval revealed a significant difference in treatment effect with a mean difference of 0.42, 95% CI [0.02, 0.81]; Z = 2.09, (p = 0.04) favouring the resorbable membrane group. The intrabony defect depth fill at a 12-month interval revealed a significant difference in treatment effect with MD of 0.79, p = 0.00001; favoring the resorbable membrane group. The resorbable membrane showed a significant improvement in gingival recession coverage and intrabony defect fill, owing to its advantage of avoiding the second surgical intervention.

Bibliographic Details

Sharmistha Das; Saurav Panda; Rashmita Nayak; Rinkee Mohanty; Anurag Satpathy; Abhaya Chandra Das; Manoj Kumar; Barbara Lapinska

MDPI AG

Materials Science; Physics and Astronomy; Engineering; Chemical Engineering; Computer Science

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