
AbstractThe 2017 World Workshop completely restructured knowledge in periodontology with a series of official consensus statements jointly agreed upon by the American Academy of Periodontology and the European Federation of Periodontology. Among them, the 2017 classification of phenotype and gingival recession successfully incorporated the most relevant previous classifications into a treatment‐oriented diagnostic matrix. Despite the significant advantages related with the implementation of this new classification of gingival recessions, recent articles still report data based on previous outdated systems. Therefore, the present commentary aimed to dive into the key advantages of the 2017 classification of phenotype and gingival recession, and to stress why it should be fully integrated into research and practice settings.
Gingiva, gingiva, gingival recession, surgery, Phenotype, Treatment Outcome, classification, plastic, Connective Tissue, Dentistry, Health Sciences, Humans, Periodontics, clinical protocols, Gingival Recession, Tooth Root
Gingiva, gingiva, gingival recession, surgery, Phenotype, Treatment Outcome, classification, plastic, Connective Tissue, Dentistry, Health Sciences, Humans, Periodontics, clinical protocols, Gingival Recession, Tooth Root
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
