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Record W4385719895 · doi:10.2460/javma.23.05.0242

Day one core competencies in veterinary dentistry

2023· article· en· W4385719895 on OpenAlexaff
Colin E. Harvey, Susan E. Crowder, David E. Clarke, Stephanie Goldschmidt, Kevin Stepaniuk, Naomi Hoyer, Sandra Manfra-Marretta, William R. Gengler, Barden Greenfield, Curt Coffman, Lorraine A. Hiscox, Richard L. Meadows, Andrew Schultz

Bibliographic record

VenueJournal of the American Veterinary Medical Association · 2023
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineGraduation (instrument)DentistryVeterinary medicineOral and maxillofacial pathology

Abstract

fetched live from OpenAlex

This article describes the core competencies recommended for inclusion in the veterinary curriculum for all veterinary graduates based on the American Association of Veterinary Medical Colleges Competency-Based Veterinary Education document. General practice companion animal veterinarians are frequently presented with patients having dental, oral, or maxillofacial pathology, and veterinary graduates will be relied upon for recommendations for the maintenance of oral health, including the prevention of periodontal disease, identification of endodontic disease, and knowledge of developmental defects. These recommendations should be made for all veterinary patients starting at a young age. These core competencies can apply to many companion species, but mainly are focused on the dog and cat. Because periodontal disease is the most common abnormality observed in dogs and cats, the first key step is taking a few seconds during examination of every patient of any age presented for any reason to examine the oral cavity. Although dental, oral, and maxillofacial pathology is often diagnosed after imaging and evaluation under anesthesia, the first step is observation of dentition and gingivae during the conscious exam to assess periodontal health status. The physical exam of the oral cavity may reveal oral behavior (eg, observation of uncomplicated crown fractures due to chewing on hard objects), which will permit recommendations for enhanced prevention by daily oral hygiene or professional treatment. There are now many involved dental and surgical treatments available, some of which require specialist-level instrumentation and expertise. General practitioners should be able to competently perform the following immediately upon graduation from veterinary school: For patients for whom the owner's reason for the veterinary visit is not dental, oral, or maxillofacial disease, obtain a brief (1 or 2 questions) history of the oral health of the patient. On lifting the lip of every patient, recognize presence or absence of accumulated dental plaque or calculus on the crowns of the teeth, presence or absence of gingival inflammation or ulceration, and presence or absence of other dental, oral, and maxillofacial pathology. On anesthetized patients that have dental, oral, and maxillofacial pathology for which professional treatment is indicated, be able to obtain and interpret appropriately positioned and exposed dental radiographs. When the presence of dental, oral, and maxillofacial pathology is recognized, determine whether each tooth present in the mouth does or does not require professional treatment beyond dental subgingival and supragingival scaling and polishing. List the indications for tooth extraction, know indications for potential oral/dental treatments beyond subgingival and supragingival scaling and polishing or extraction, and determine whether the professional treatment that may be indicated, such as root canal treatment or mass resection of oral tissues, requires referral for specialist-level expertise and instrumentation. Complete a thorough periodontal evaluation and therapy with periodontal probing, including professional subgingival and supragingival ultrasonic scaling with polishing under anesthesia. Demonstrate the ability to extract teeth indicated for extraction, using gentle and appropriate techniques that will risk minimal injury to the jaws and oral soft tissues and reduce postoperative patient pain. Provide appropriate postoperative care, including recognition of when postoperative analgesia and possibly antibiotic administration are indicated.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.061
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.327
GPT teacher head0.508
Teacher spread0.181 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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