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Meta-Analysis
. 2025 Jan 2;20(1):e0312751.
doi: 10.1371/journal.pone.0312751. eCollection 2025.

Impact of regenerative procedure on the healing process following surgical root canal treatment: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Impact of regenerative procedure on the healing process following surgical root canal treatment: A systematic review and meta-analysis

Nader Muthanna et al. PLoS One. .

Abstract

Introduction: Different Guided Tissue Regeneration (GTR) procedures, such as membranes, bone substitute materials, and Autologous Platelet Concentrates (APCs), have been applied after surgical root canal treatment (SRCT), which produce different outcomes. This study aimed to evaluate the impact of regenerative procedures on the healing process following SRCT.

Methods: A comprehensive search of PubMed, Embase, Scopus, Cochrane, and the Web of Science found Randomized Controlled Trials (RCTs) published until February 25, 2024. Manual searches were also conducted. Our main outcome was SRCT success or failure after GTR procedures. The Risk Ratio (RR) and failure rate meta-analysis used a fixed effects model with a 95% confidence interval (CI). Subgroup analyses were conducted based on the use of different GTR procedures for varying lesion types in SRCT.

Results: Out of 1,605 records, 16 studies with 690 lesions were included. Overall, GTR procedures significantly improved healing after SRCT in both 2D (RR: 0.50; 95% CI, 0.34-0.73; P < 0.001) and 3D evaluation methods (RR: 0.36; 95% CI, 0.15-0.90; P < 0.001) with no significant difference between the two methods.

Conclusion: GTR significantly improved SRCT healing regardless of the evaluation method used. Combining collagen membranes with bovine bone-derived hydroxyapatite significantly enhanced the healing process. Additionally, GTR procedures significantly improve healing in through-and-through lesions.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. PRISMA statement 2020 flow diagram.
Fig 2
Fig 2. Risk of bias assessment.
Fig 3
Fig 3. Forest plot and meta-analysis results for 2D evaluation.
"Events" indicate failure cases.
Fig 4
Fig 4. Forest plot and meta-analysis results for 3D evaluation.
"Events" indicate failure cases.
Fig 5
Fig 5. Forest plot and Subgroup analysis based on the GTR technique and materials.
"Events" indicate failure cases.
Fig 6
Fig 6. Forest plot and subgroup analysis based on lesion type.
"Events" indicate failure cases.
Fig 7
Fig 7. The funnel plot of publication bias.

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