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Record W2901706777 · doi:10.21815/jde.018.140

Education About Dental Erosion in U.S. and Canadian Dental Schools

2018· article· en· W2901706777 on OpenAlexaffabout
Caroline Nguyen Ngoc, Terry Donovan

Bibliographic record

VenueJournal of Dental Education · 2018
Typearticle
Languageen
FieldDentistry
TopicDental Erosion and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCurriculumDental educationInclusion (mineral)Medical educationMedicineDentistryFamily medicineIntervention (counseling)Dental researchPsychologyNursingPedagogySocial psychology

Abstract

fetched live from OpenAlex

Dental erosion (DE) is a well-accepted multifactorial form of tooth wear involving acids. Due to its irreversible nature, recognizing the early signs is important to develop appropriate preventive strategies. However, its place in dental curricula remains unclear. Consensus has not been established regarding the integration of erosive tooth wear into core cariology curricula in North America. The extent to which DE is taught is questionable since etiology, risk assessment, and management are not all the same as for dental caries. The aim of this study was to survey U.S. and Canadian dental schools regarding their teaching of DE. Email invitations were sent to deans, chairs, and selected faculty members at all 76 U.S. and Canadian dental schools in 2016, asking them to either respond or forward the survey-link provided to the appropriate person in their school. Responses from the same school were combined for analysis. Respondents from 59 schools (77.6% response rate) responded to the survey, and all of them confirmed the inclusion of DE in their curricula. However, only 15.3% of respondents identified correctly all the clinical signs of DE. Although management through behavioral intervention was prioritized, diet analysis was often not a clinical requirement, and 45.8% of respondents did not teach any type of tooth wear index for monitoring. This study concluded that DE has a place in dental curricula, but whether this topic is adequately covered is questionable. There is a need to establish clearer topics and requirements emphasizing the diagnosis and management of DE, potentially in cariology curricula.

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)0.000
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 score0.143
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.304
Teacher spread0.295 · 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

Citations21
Published2018
Admission routes2
Has abstractyes

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