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Record W2757842465 · doi:10.14740/jmc.v8i10.2906

Carotid Body Tumor With Malignant Behavior in a Patient in His Eighth Decade

2017· article· en· W2757842465 on OpenAlexvenueno aff
Waleed Ali, Kingsley Okoroafor, Ali Husain

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCarotid bodyCarotid bifurcationAutopsyLesionNeuroendocrine tumorsParagangliomaRadiologyDiseaseCarotid arteriesNeck massMedical historySurgeryPathology

Abstract

fetched live from OpenAlex

Carotid body tumors (CBTs) are rare neoplasms with rare malignant potential. These tumors are usually parasympathetic ganglia-derived lesions which located in the neck at the bifurcation of the external and internal carotid arteries. In contrary to sympathetic-derived tumors, they are often non-secretory. However, about 5% of these tumors may still secrete some of the catecholamine-related compounds. Most of these lesions are diagnosed in the third to fifth decades of life, with more cases revealed during autopsy examinations. Although it is considered a disease of middle age, elderly people are not immune. We report a case of an elderly patient in his eighth decade, who presented with a mass-like lesion in the right side of his neck during routine medical examination. Imaging study showed an enhancing mass in the carotid artery bifurcation with pressure effect and lymphadenopathy. The patient underwent surgery and tumor was removed uneventfully. The pathology report later confirmed oval-shaped cells with positive neuroendocrine markers consistent with carotid body paraganglioma. We believe these tumors are overlooked and yet may be missed without proper medical examination. We report this case for two reasons, being a very rare tumor with malignant potential in an elderly patient and to raise the awareness among medical practitioners. J Med Cases. 2017;8(10):311-314 doi: https://doi.org/10.14740/jmc2906w

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.025
GPT teacher head0.311
Teacher spread0.286 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes1
Has abstractyes

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