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Record W2398386026

Prevalence of Antral Pseudocysts in the Pediatric Population.

2017· article· en· W2398386026 on OpenAlexaff
Michael Sultan, Christel M. Haberland, Laura Skrip, Maria Copete

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineAsymptomaticPopulationExact testOdds ratioLogistic regressionDentistryPediatricsSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: The purposes of this study were to determine the previously unreported prevalence of antral pseudocysts in an exclusively pediatric dental population, characterize their presentation, and investigate potential correlates to the presence of these lesions. METHODS: A tripartite chart review was conducted of 2,000 five- to 21-year-old pediatric dental patients at Yale-New Haven Hospital for the presence of antral pseudocysts identifiable on panoramic radiographs. Demographic, medical, and dental variables potentially influencing their pathogenesis were analyzed via descriptive statistics, odds ratios, and Fisher's exact test. RESULTS: Thirty-six antral pseudocysts were identified in the study sample (1.8 percent). They presented as asymptomatic solitary lesions with a slight male predominance and occurring with greater frequency in individuals with reported allergies. No significant relationship was found between maxillary extractions, orthodontics, obstructive sleep apnea, or history of orofacial trauma and the presence of antral pseudocysts. CONCLUSION: The prevalence of antral pseudocysts in the pediatric dental population falls among the lower end of ranges previously reported in the literature and may reflect their development over time in response to environmental exposures.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
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 score0.005
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.093
GPT teacher head0.382
Teacher spread0.289 · 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

Labeled directly by 2 models reading the full record.

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

Citations4
Published2017
Admission routes1
Has abstractyes

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