ArticleCureus2025
Influence of Crestal Mucosal Thickness on the Accuracy of Gingival Former Selection in Single-Tooth Implant Prosthodontics: An Observational Study.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dental implant outcomes in patients with diabetes mellitus: a systematic review.BMC oral health · 2026Pooled it
- Article
- Peri-Implant Soft-Tissue Augmentation Using Xenogeneic Collagen MatricesJournal of oral & maxillofacial researchReview
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Accurate selection of gingival formers is critical for achieving optimal peri-implant soft tissue health and esthetics. Crestal mucosal thickness may play a significant role in the success of gingival former selection, particularly in single-tooth implant prosthodontics. The present study aimed to evaluate the impact of crestal mucosal thickness on the accuracy of gingival former selection using retrospective clinical data and cone-beam computed tomography (CBCT) analysis. Materials and methods This retrospective, cross-sectional, observational study was conducted in the Department of Prosthodontics after obtaining ethical approval. Patient records of 150 implant sites from August 2021 to December 2024 were reviewed. The inclusion criteria were adults (18-65 years) with single-tooth implants, adequate periodontal health, and complete clinical documentation, including CBCT scans. Patients with systemic conditions, tobacco use, or incomplete medical records were excluded. CBCT images were used to measure crestal mucosal thickness. The gingival former type, diameter, and clinical outcomes were documented. Accuracy of gingival former selection was defined as the absence of inflammation, ulceration, or recession, along with a good emergence profile at the final prosthetic placement. Statistical analyses included chi-square tests, independent t-tests, and multivariate logistic regression. Results Of the 150 implant sites, 108 (72%) had accurate gingival former selection, while 42 (28%) showed complications. No significant associations were found for sex (p = 0.894), jaw (p = 0.860), or site (p = 0.138). However, mucosal thickness significantly influenced selection accuracy (p = 0.001), with inaccurate outcomes more common in sites with <2 mm thickness. Accurate selections had significantly thicker mucosa (mean = 2.43 ± 0.3 mm) and smaller gingival formers (mean diameter = 4.45 ± 0.74 mm). Logistic regression revealed that thinner mucosa (odds ratio = 13.92) and larger former diameter (odds ratio = 4.15) were independent predictors of inaccurate selection. Conclusion Crestal mucosal thickness is a critical determinant for the accurate selection of gingival formers. Thin soft tissue biotypes and inaccurate formers significantly increase the risk of peri-implant soft tissue complications. Preoperative CBCT assessment and a tissue-informed approach are essential for optimizing outcomes in implant prosthodontics.
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