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Interdisciplinary Approach of Amelogenesis Imperfecta: 10 Years of Clinical Follow-Up

2021· article· en· W3136052857 on OpenAlexaff
Mauro Toma, Jéssica Rico Bocato, Carlos Magno Goshi, Thaís Teixeira Borsato, Ana Cláudia de Castro Ferreira Conti, Thaís Maria Freire Fernandes, Paula Vanessa Pedron Oltramari

Bibliographic record

VenueJournal of Health Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsImpact
Fundersnot available
KeywordsAmelogenesis imperfectaMedicineDentistryEnamel paintDentinogenesis imperfectaDenturesOrthodonticsTooth SensitivityRestorative dentistryDentin

Abstract

fetched live from OpenAlex

AbstractAmelogenesis imperfecta (AI) is an inherited disease that expresses a disorder in the development of enamel structure. In its mildest form, it promotes tooth color change; and in more severe cases, it presents a loss of enamel structure initiated during the eruption phase. Different AI manifestations can coexist in the same patient or in the same tooth, both in the primary and permanent dentures. In addition, several subtypes are described, characterized according to the variety of phenotype and genotype. Successful treatment requires early diagnosis and therapeutic solutions involving different dental specialties. Although some professionals prefer to postpone permanent rehabilitation until the development of complete permanent dentures, the aesthetic and functional impact of this disease in childhood and adolescence requires that restorative treatment be started as soon as possible. The proposed therapies demonstrate numerous challenges such as extreme dentinal sensitivity, difficulties installing and maintaining the orthodontic appliance and the need for restorative and prosthetic intervention in malformed teeth. This work aims to demonstrate the interaction between Orthodontics, Restorative Dentistry and Prosthesis in the treatment of a patient with AI, reporting the success of treatment involving aesthetics, function and well-being and the long-term benefit of this interdisciplinary approach for patients with this disease. Keywords: Orthodontics. Amelogenesis Imperfecta. Mouth Rehabilitation. ResumoA amelogênese imperfeita (AI) é uma doença hereditária que expressa uma desordem no desenvolvimento da estrutura do esmalte. Na sua forma mais branda, promove alteração na cor dos dentes; e em casos mais severos, apresenta perda de estrutura do esmalte iniciada durante a fase de irrupção. Diferentes manifestações da AI podem coexistir no mesmo paciente ou no mesmo dente, tanto na dentadura decídua quanto na permanente. Além disso, são descritos diversos subtipos, caracterizados de acordo com a variedade do fenótipo e genótipo. O sucesso do tratamento requer diagnóstico precoce e soluções terapêuticas que envolvam diversas especialidades odontológicas. Embora alguns profissionais prefiram adiar a reabilitação definitiva até o desenvolvimento da dentadura permanente completa, o impacto estético e funcional desta doença na infância e adolescência exige que o tratamento restaurador seja iniciado o mais cedo possível. As terapias propostas demonstram inúmeros desafios como a sensibilidade dentinária extrema, as dificuldades para instalação e manutenção do aparelho ortodôntico e a necessidade de intervenção restauradora e protética em dentes com má formação. O presente trabalho tem como finalidade demonstrar a interação entre a Ortodontia, a Dentística Restauradora e a Prótese no tratamento de um paciente com AI, relatando o sucesso do tratamento envolvendo estética, função, bem estar e o benefício em longo prazo desta abordagem interdisciplinar para os portadores desta doença. Palavras-chave: Ortodontia. Amelogênese Imperfeita. Reabilitação Bucal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.117
GPT teacher head0.453
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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