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Record W4254004300 · doi:10.14740/jmc2189w

A Case of Thyroid Hemiagenesis Associated With Graves’ Disease and Follicular Neoplasm

2015· article· en· W4254004300 on OpenAlexvenueno aff
Bu Kyung Kim, Ju Won Lee, Min-Jung Jung, Eun Mi Lee, So Young Ock, Su Kyoung Kwon, Young Sik Choi

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThyroidFollicular phaseNodule (geology)PathologyThyroid neoplasmThyroid diseaseRadiologyInternal medicineThyroid carcinoma

Abstract

fetched live from OpenAlex

Thyroid hemiagenesis is a rare congenital anomaly in which the thyroid lobe fails to develop, and the occurrence of thyroid hemiagenesis with other thyroid diseases is possible. Here, we report a case of thyroid hemiagenesis with Graves’ disease and follicular neoplasm. Our patient, an 81-year-old female, was admitted with general weakness and weight loss over the previous month. Laboratory testing showed elevated free T4, suppressed TSH, and elevated TSH receptor antibody levels. A 99mTc thyroid scan showed absent uptake in the left lobe and a cold nodule on the isthmus of the thyroid gland. Ultrasound imaging showed an oval-shaped thyroid nodule on the isthmus and diffuse enlargement and hypervascularity of the right lobe. We performed ultrasound-guided fine needle aspiration, and cytologic analysis showed evidence of a Hurthle cell follicular neoplasm. To date, this is the first reported case of thyroid hemiagenesis associated with Graves’ disease and Hurthle cell follicular neoplasm. J Med Cases. 2015;6(8):385-387 doi: https://doi.org/10.14740/jmc2189w

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.172
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.000
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 head0.032
GPT teacher head0.296
Teacher spread0.265 · 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 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

Citations4
Published2015
Admission routes1
Has abstractyes

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