Dental Management of Genetic Dental Disorders: A Critical Review.

Journal of dental research Pub Date : 2025-04-01 Epub Date: 2025-02-04 DOI:10.1177/00220345241305330
H Dujic, K Bücher, I M Schüler, P Schmidt, S Hertel, J Timpel, A Jablonski-Momeni, R Schilke, I Kapferer-Seebacher, J Zschocke, A Liebermann, J F Güth, D Edelhoff, R Heinrich-Weltzien, J Kühnisch
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Abstract

Genetic dental disorders (GDDs) can occur either isolated or as part of syndromes. Clinically, deviations in tooth shape, size, or structure, as well as the absence of multiple teeth, lead to severe dysfunction and a reduced quality of life, requiring lifelong preventive, conservative, and prosthodontic dental care. The dental management of prevalent dental diseases, such as caries or periodontitis, has been based on decades of research, whereas scientific data on the dental management of GDDs are scarce. This lack of data is challenging for dental practitioners, who must primarily rely on empirical knowledge only. Therefore, a systematic literature search and review were conducted on the dental management of common GDDs, such as ectodermal dysplasia, amelogenesis imperfecta, dentinogenesis imperfecta, periodontitis as a manifestation of rare systemic diseases, and X-linked hypophosphatemia and hypophosphatasia. The review revealed that 468 of the 9,115 retrieved publications met the inclusion criteria, with most being case reports or case series, highlighting a lack of robust clinical trials. This critical review provides a brief summary of the genetic background, key clinical signs, and treatment options for these conditions. The dominance of case reports emphasizes the need for improved reporting standards and long-term follow-up to support comprehensive data synthesis and meta-analyses. In addition, the uneven global distribution of publications suggests disparities in access to advanced dental care for GDDs. Efforts to standardize reporting and improve treatment documentation globally are crucial to addressing these challenges. In this way, information on GDD management can be improved, and statistical analyses of the data can be performed.

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