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Record W2095141891 · doi:10.1097/mao.0b013e3181e40a5d

Luc's Abscess

2010· article· en· W2095141891 on OpenAlexaff
Inbal Weiss, Tal Marom, Abraham Goldfarb, Yehudah Roth

Bibliographic record

VenueOtology & Neurotology · 2010
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicineMastoidectomyAbscessSurgeryMastoiditisCholesteatomaComplicationComputed tomographicRadiologyOtitisComputed tomography

Abstract

fetched live from OpenAlex

OBJECTIVE: Mastoiditis, subperiosteal abscess and sigmoid vein thrombosis are the most common suppurative complications of acute otitis media (AOM). Luc's abscess, a subperiosteal temporal collection, is an infrequent complication with a particularly benign course. PATIENTS: Two children, aged 5 years, presented with AOM complicated by an atypical abscess deep to the temporalis muscle, with no evidence for mastoid or zygomatic arch involvement. INTERVENTION(S): Computed tomographic scan was performed in only 1 child. In both children, treatment included antibiotic therapy, grommet insertion, and local surgical drainage of the temporalis abscess. In addition, a cortical mastoidectomy was performed in the patient who did not undergo computed tomography, based on clinical assessment. MAIN OUTCOME MEASURE(S): Clinical improvement, resolution of symptoms. RESULTS: Both patients recovered shortly following the surgical drainage. Mastoidectomy was poor in findings and was concluded as redundant. CONCLUSION: Luc's abscess is associated with relatively little morbidity and requires a more limited surgical intervention. Computed tomographic scan is of great value to evaluate the extent of the disease and prevent needless mastoidectomy.

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 categoriesInsufficient 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 score0.239
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.276
Teacher spread0.267 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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