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Record W2048170352 · doi:10.1210/jc.2003-031650

Two Cases of Thyroid Carcinoma That Were Not Stimulated by Recombinant Human Thyrotropin

2004· article· en· W2048170352 on OpenAlexaff
A. A. Driedger, Natalie Kotowycz

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2004
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineThyroid carcinomaThyroidDiseaseInternal medicineRecombinant DNAOncologySurgery

Abstract

fetched live from OpenAlex

Recombinant human TSH (rhTSH) is being widely used to monitor patients who were previously treated for differentiated thyroid cancers for evidence of recurrence. Its value lies in the avoidance of recurrent episodes of hypothyroidism in the follow-up protocols. rhTSH is also being evaluated as a potential therapeutic adjunct that would spare patients the experience of becoming hypothyroid when undergoing thyroid remnant ablation or treatment for metastases. In some centers, rhTSH is also used to support compassionate care of patients with advanced disease who cannot safely become hypothyroid. The (131)I uptake response to rhTSH, presently an off-label application, is expected to be similar to that of endogenously raised TSH levels. The two cases presented here are cautionary tales in which (131)I uptake by metastases was present under hypothyroid conditions, but absent in one patient and present in only a portion of the lesions in the other, with rhTSH stimulation.

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)0.001
metaresearch head score (Gemma)0.014
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 score0.014
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0040.004
Research integrity0.0140.009
Insufficient payload (model declined to judge)0.0030.002

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 head0.078
GPT teacher head0.397
Teacher spread0.318 · 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

Citations36
Published2004
Admission routes1
Has abstractyes

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