Evidence map›Paper›PMID 42859960›Full record

ArticleClinical and experimental dental research2026

Prevalence, Risk Indicators, and Patient-Reported Outcomes of Labial Gingival Recession Following Orthodontic Treatment: A Retrospective Study.

Sarah Benabdallah, Parham Hazrati, Catherine Delcourt, Pierre-Alexandre Chataigner, Nassima Ramdane, Claire Averlant-Dubois, Hom-Lay Wang, Kevimy Agossa

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Article in Clinical and experimental dental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Sarah BenabdallahDepartment of Orthodontics, University of Lille, Lille University Hospital, Lille, France.
Parham HazratiDepartment of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-8362-3208
Catherine DelcourtPrivate Practice, Bondues, France.
Pierre-Alexandre ChataignerPrivate Practice, Tournai, Belgium.
Nassima RamdaneDepartment of Biostatistics, CHU Lille, Lille, France.
Claire Averlant-DuboisDepartment of Orthodontics, University of Lille, Lille University Hospital, Lille, France.
Hom-Lay WangDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4238-1799
Kevimy AgossaDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-4305-1353

Funding

institution
6 · The paper itself

Abstract

objectivesTo assess the prevalence, distribution, and risk indicators of gingival recession (GR) following orthodontic treatment (OT) in both private and hospital-based settings, and to evaluate its impact on patient satisfaction and willingness to seek corrective treatment. MATERIALS AND

methodsClinical and radiographic records from baseline to follow-up were retrospectively analyzed. Additionally, participants completed a survey on satisfaction, perception of GR if present, and willingness to seek corrective treatment. Incident and persistent GR were analyzed separately. Bayesian mixed-effects logistic regression with weakly informative priors was used to identify risk indicators for incident GR.

resultsA total of 103 patients (2030 teeth; mean age: 20.7 ± 9.7 years) were included. GR prevalence increased from 1.7% at baseline to 2.0% at appliance removal and continued to rise during the retention phase (3%-5%), with a site-specific distribution. Among 1996 teeth free of GR at baseline, 49 developed incident GR. A thin-scalloped gingival phenotype was the strongest risk indicator for incident GR (OR = 4.10; 95% CrI: 1.25-13.46). Most baseline GR persisted throughout follow-up. Satisfaction with OT remained high (mean score: 8.99 ± 1.04 on a 10-point scale) and was not significantly influenced by GR or treatment setting.

conclusionsGingival recession occurrence after orthodontic treatment is time- and site-dependent. A thin-scalloped gingival phenotype is the main risk indicator for incident GR, whereas pre-existing recession is highly persistent. Despite its occurrence, gingival recession had limited impact on patient satisfaction. CLINICAL RELEVANCE: This study provides long-term, multicenter data on gingival recession following orthodontic treatment, and is the first to assess its impact on patient perception. The findings may help inform risk-based treatment planning and individualized patient counseling in orthodontic care.

Indexed as

Gingival RecessionOrthodontics, CorrectivePatient Reported Outcome MeasuresAdolescentAdultChildFemaleHumansMalePatient SatisfactionPrevalenceRetrospective StudiesRisk FactorsYoung Adultgingival recessionorthodontic treatmentpatient‐reported outcomeperiodontal phenotyperetrospective study

Identifiers

PMID42859960
PMCPMC13654315

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.