ArticleJournal of pharmacy & bioallied sciences2025
Dynamic Computer-Aided Surgery for Zygomatic Implant Placement: A Systematic Review.
Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This systematic review aimed to evaluate the effectiveness of dynamic computer-aided surgery (DCAS) for zygomatic implant placement by analyzing implant placement accuracy, clinical outcomes, and postoperative complications. Materials and Methods: A comprehensive search of databases was conducted on studies published between 2000 and 2024 comparing DCAS-assisted zygomatic implant placement with traditional methods, extracting data and assessing quality. Results: Five studies were included. DCAS significantly enhances implant placement accuracy, reduces complications, and increases patient satisfaction, with robotic systems demonstrating superior accuracy and stability compared to dynamic navigation systems. Conclusion: DCAS offers a promising approach for zygomatic implant placement, enhancing accuracy, safety, and patient outcomes. Further research is needed to explore long-term benefits and limitations.
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Registered trials
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