MétaCan
Menu
Back to cohort
Record W4254950791 · doi:10.14740/jmc2683w

Empyema and Cavitation After Dental Procedure

2016· article· en· W4254950791 on OpenAlexvenueno aff
Isaac Akkad, Alberto Ortíz, Precious Macauley, Paurush Ambesh

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumomediastinumMediastinitisEmpyemaDental extractionSurgeryContext (archaeology)LesionAspiration pneumoniaPneumoniaPneumothoraxInternal medicine

Abstract

fetched live from OpenAlex

Thoracic complications following oropharyngeal procedures have been reported in medical literature. Aspiration of foreign bodies and gastric contents, upper airway obstruction, bacterial endocarditis, descending necrotizing mediastinitis, Lemierre syndrome, and pneumomediastinum are among the most commonly reported. In this case report, we present a 67-year-old Caucasian male without significant comorbidities found to have a left lower lobe empyema and a right upper lobe cavitary lesion after having a tooth extraction 4 months prior. The organisms found within the lesions are normal constituents of the oral flora. In patients presenting with intrathoracic symptoms within the context of recent dental procedures, the clinician should be aware of procedure-related complications that although uncommon could be life-threatening. J Med Cases. 2016;7(11):512-514 doi: http://dx.doi.org/10.14740/jmc2683w

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)0.000
metaresearch head score (Gemma)0.003
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.297
Teacher spread0.287 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical CasesSame topicOtolaryngology and Infectious DiseasesFrench-language works237,207