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Record W2021451280 · doi:10.14740/jmc.v6i3.2043

Extended Superior Cornu of Thyroid Cartilage Causing Dysphagia and Throat Pain

2015· article· en· W2021451280 on OpenAlexvenueno aff
Piotr Wójtowicz, Tomasz Szafarowski, Wojciech Kukwa, Ewa Migacz, Antoni Krzeski

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicOropharyngeal Anatomy and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDysphagiaThyroid cartilageThroatSore throatLarynxOdynophagiaEpiglottisSurgeryThyroidLaryngoscopyMalignancyIntubationPathologyInternal medicine

Abstract

fetched live from OpenAlex

Superior thyroid cornu syndrome (STCS) is an abnormality of superior cornu of thyroid cartilage which can produce dysphagia, odynophagia or throat pain. The causes of this condition are congenital or acquired. A 51-year-old Caucasian male presented with 4-month history of dysphagia and throat pain. Flexible endoscopy of the larynx revealed an ulceration on the left laryngeal surface of epiglottis. No malignant process was confirmed with histopathological examination, but protruding submucosal mass was detected. CT of the neck showed the ossified and extended left superior thyroid cornu. Surgical procedure was performed to resect the extended cornu. The patient was followed up in 2 weeks and presented no symptoms. STCS is a rare cause of chronic dysphagia or sore throat. Laryngologists should suspect it when malignancy of the larynx is ruled out. Surgery is the only known therapy, but it is not always effective. J Med Cases. 2015;6(3):134-136 doi: http://dx.doi.org/10.14740/jmc2043w

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.323
Teacher spread0.273 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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