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Record W2742985042 · doi:10.14740/jmc.v8i8.2761

Sporting Injuries - An Unusual Case of a Traumatic Schwannoma Presenting on the Upper Lip of a Professional Footballer, a Case Report

2017· article· en· W2742985042 on OpenAlexvenueno aff
Mohamed Hania, Christopher Mannion

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSchwannomaBenign tumorLesionEosinophilicUpper lipBiopsyEosinophilic granulomaNerve sheath neoplasmDifferential diagnosisSurgeryRadiologyPathologyAnatomyMalignant peripheral nerve sheath tumorImmunohistochemistry

Abstract

fetched live from OpenAlex

Schwannomas are benign tumors that typically arise from the perineural Schwann cells responsible for the production of the insulting sheath called myelin with only 1% occurring intraorally. We present and report a rare case of a schwannoma presenting on the upper lip of a 29-year-old male professional footballer who was referred to OMFS clinic after with a persistent swelling on his upper lip following trauma to the face 1 year ago. The treatment for benign schwannoma consists of total surgical excision. However, recurrences as well as the malignant transformation are rare events. It is possible that other disorders may appear with similar clinical picture, so the need for a biopsy of the suspected lesion cannot be emphasized enough to rule out other conditions. The differential diagnoses of schwannomas include lesions such as lipomas, hemangiomas, eosinophilic granuloma, epidermoid and dermoid cysts, epithelial hyperplasia, granular cell tumour, leiomyoma, and lymphangioma. J Med Cases. 2017;8(8):243-245 doi: https://doi.org/10.14740/jmc2761w

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)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0060.003
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 head0.100
GPT teacher head0.420
Teacher spread0.320 · 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
Published2017
Admission routes1
Has abstractyes

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