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Periapical Curettage: An Alternative Surgical Approach to Infected Mandibular Cheek Teeth in Horses

2004· article· en· W1992312149 on OpenAlexaff
James L. Carmalt, Spencer Μ. Barber

Bibliographic record

VenueVeterinary Surgery · 2004
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineCheek teethCurettageCheekDentistryOrthodonticsSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate an alternative surgical method for treating periapical infection of the mandibular cheek teeth of horses. DESIGN: Retrospective study. ANIMALS: Eleven horses (3-13 years) with periapical mandibular tooth infection. METHODS: Hospital records (1992-2002) of horses that had periapical curettage for the treatment of mandibular cheek tooth root infection were retrieved. Clinical signs, radiographic, and surgical reports were reviewed. Outcome was obtained by telephone questionnaire for 7 horses and by physical examination in 2. RESULTS: Eleven horses (14 infected mandibular molariform teeth) had periapical curettage. Two horses were lost to follow-up. Mean follow-up was 41 months; 2 horses had subsequent tooth repulsion, 7 (78%) horses healed completely although 2 horses still had some local mandibular swelling. CONCLUSION: Periapical curettage, which allows alveolar drainage, appears to be a viable treatment option for periapical infections of equine mandibular cheek teeth. CLINICAL RELEVANCE: Periapical curettage can be performed simply, without expensive imaging or surgical equipment, and thus is useful for both referral and first opinion practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.393
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2004
Admission routes1
Has abstractyes

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