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Record W2316374337 · doi:10.1136/bcr-2013-009138

Lacrimal gland pleomorphic adenoma: an inconceivable diagnosis in a child

2013· article· en· W2316374337 on OpenAlexaff
A. Gupta, Ashish Khandelwal

Bibliographic record

VenueBMJ Case Reports · 2013
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsPleomorphic adenomaMedicineLacrimal glandIncidence (geometry)Malignant transformationAdenomaRadiologyUltrasoundPathologySalivary gland

Abstract

fetched live from OpenAlex

Pleomorphic adenoma is the most common epithelial tumour of the lacrimal gland in adults. It is rare in children less than 10 years. The low incidence in children can lead to low index of suspicion and increased likelihood of misdiagnosis. Incomplete treatment can lead to malignant transformation or recurrence. High index of suspicion is necessary for prompt diagnosis in children younger than 10 years. We describe a rare case of lacrimal gland pleomorphic adenoma (LGPA) in a 7-year-old child. Only four cases have so far been reported in the literature in children younger than 10 years. We emphasise the importance of CT scan and ultrasound-guided fine needle in the diagnosis of LGPA in children.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.002
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 head0.025
GPT teacher head0.300
Teacher spread0.275 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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