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Record W2044275157 · doi:10.1097/pec.0b013e31818c2641

Nontraumatic Dental Complaints in a Pediatric Emergency Department

2008· article· en· W2044275157 on OpenAlexaff
Maria G. Oliva, David J. Kenny, Savithiri Ratnapalan

Bibliographic record

VenuePediatric Emergency Care · 2008
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineEmergency departmentEmergency medicinePsychological interventionDentitionTertiary carePediatricsDentistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the prevalence, types, and treatment of nontraumatic dental emergencies that present to a tertiary care pediatric emergency department (ED). METHODS: A retrospective chart review of all children coming to a tertiary care pediatric emergency department with nontraumatic dental complaints from January 2005 to December 2005 was conducted. Demographic information, the time and day of presentation, presenting complaints, history of previous dental treatment, interventions, and disposition details were collected and analyzed. RESULTS: The 247 visits for nontraumatic dental complaints comprise 0.5% of all patients who presented to the ED in 2005. Fifty-nine percent were younger than 5 years (primary dentition), with males representing 52% of the children. Half of the visits were during normal dental office hours, and more than half presented during the weekday. Fifty-three percent complained of pain. Twenty-eight percent were referred to the dental clinic after being seen by an ED physician. Eight percent of children required hospitalization for intravenous antibiotics. Most children (82%) were discharged from the ED with oral antibiotics. CONCLUSIONS: The ED is an important point of care for nontraumatic pediatric dental complaints, and about 60% of these children are younger than 5 years. Only 8% of them had severe infections requiring hospitalization, and most patients could have been treated in the community.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.021
GPT teacher head0.298
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2008
Admission routes1
Has abstractyes

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