Search

Gummy smile: proposal of a clinical decision-making algorithm

Authors

Abstract

Gummy Smile, or excessive gingival display, is a clinical condition characterized by an overexposure of the maxillary gingiva during smiling, typically exceeding 3 mm. Although not pathological, this condition can lead to aesthetic discomfort and negatively impact the patient's self-esteem.
In a normal, aesthetically pleasing smile, gingival exposure—defined as the distance between the lower margin of the upper lip and the cervical area of the upper central incisors—should not exceed 1–2 mm. [1]
Gummy Smile affects approximately 10% of individuals aged 20–30, with a higher prevalence among females. [2]
This condition has a multifactorial etiology, with each causative factor potentially acting independently or in combination with others, thereby complicating both the clinical presentation and case management. [3]
The main causes of excessive gingival exposure include:

  1. Altered passive eruption (APE)
  2. Dentoalveolar extrusion
  3. Vertical maxillary excess (VME)
  4. Gingival hyperplasia
  5. Short upper lip
  6. Hypermobility of the upper lip [4]

 

This study presents a systematic review of the scientific literature on therapeutic approaches for the treatment of Gummy Smile, offering a qualitative analysis of clinical indications, procedural techniques, aesthetic and functional outcomes, duration of results, post-treatment recovery, possible complications, and patient satisfaction.

Based on the emerging evidence, a clinical decision-making algorithm has been developed to guide clinicians in the selection and management of Gummy Smile cases, according to their etiological profile. This algorithm is proposed as a practical tool aimed at enhancing therapeutic appropriateness and improving clinical outcomes

Share on

Downloads

Authors

Giulia Ciciarelli - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Tommaso Pizzolante - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Anna Pia Saggiomo - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Michele Rinaldi - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Liliana Ottria - Dipartimento di Scienze Cliniche e Medicina Traslazionale, Università degli Studi di Roma Tor Vergata, Rome, Italy

Alessandro Dolci - Dipartimento di Scienze Cliniche e Medicina Traslazionale, Università degli Studi di Roma Tor Vergata, Rome, Italy

Beatrice Marzo - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Mattia Mema - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Alberto Gasbarri - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Antonio Capogreco - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Ettore Lupi - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

Stefano Mummolo - Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

How to Cite
Ciciarelli, G., Pizzolante, T., Saggiomo, A. P., Rinaldi, M., Ottria, L., Dolci, A., Marzo, B., Mema, M., Gasbarri, A., Capogreco, A., Lupi, E., & Mummolo, S. (2026). Gummy smile: proposal of a clinical decision-making algorithm. Annali Di Stomatologia, 17(3), 767–781. https://doi.org/10.59987/ads/2026.3.767-781

Most read articles by the same author(s)

1 2 > >>