ArticleScientific reports2020
Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 22 citations in OpenAlex.
- Geometric morphometrics based diagnostic model for Skeletal Class III patients.Communications medicine · 2026Article
- Genetic and Molecular Determinants of Familial Transmission of Skeletal Malocclusions.Orthodontics & craniofacial research · 2025Review
- Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns.BMC oral health · 2025Article
- Evaluation of Upper Airway Width and Facial Height Cephalometric Parameters in Adult Caucasians with Skeletal Class I and Class III Malocclusion.Medicina (Kaunas, Lithuania) · 2025Article
- Is Incisor Compensation Related to Skeletal Discrepancies in Skeletal Class III? A Retrospective Cephalometric Study.Diagnostics (Basel, Switzerland) · 2024Article
- A study of correlations between cephalometric measurements in Koreans with normal occlusion by network analysis.Scientific reports · 2024Article
- East Asian and Southern European craniofacial class III phenotype: two sides of the same coin?Clinical oral investigations · 2024Review
- Three-dimensional phenotype characteristics of skeletal class III malocclusion in adult Chinese: a principal component analysis-based cluster analysis.Clinical oral investigations · 2023Article
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- Novel Sub-Clustering of Class III Skeletal Malocclusion Phenotypes in a Southern European Population Based on Proportional Measurements.Journal of clinical medicine · 2020Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main aim of this study was to generate an adequate sub-phenotypic clustering model of class III skeletal malocclusion in an adult population of southern European origin. The study design was conducted in two phases, a preliminary cross-sectional study and a subsequent discriminatory evaluation by main component and cluster analysis to identify differentiated skeletal sub-groups with differentiated phenotypic characteristics. Radiometric data from 699 adult patients of southern European origin were analyzed in 212 selected subjects affected by class III skeletal malocclusion. The varimax rotation was used with Kaiser normalization, to prevent variables with more explanatory capacity from affecting the rotation. A total of 21,624 radiographic measurements were obtained as part of the cluster model generation, using a total set of 55 skeletal variables for the subsequent analysis of the major component and cluster analyses. Ten main axes were generated representing 92.7% of the total variation. Three main components represented 58.5%, with particular sagittal and vertical variables acting as major descriptors. Post hoc phenotypic clustering retrieved six clusters: C1:9.9%, C2:18.9%, C3:33%, C4:3.77%, C5:16%, and C6:16%. In conclusion, phenotypic variation was found in the southern European skeletal class III population, demonstrating the existence of phenotypic variations between identified clusters in different ethnic groups.
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