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Record W53503211

Thyroid nodules and goiters : Current standards of care

2007· article· en· W53503211 on OpenAlexaff
Marius N. Stan, Vahab Fatourechi

Bibliographic record

Venue˜The œconsultant · 2007
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsMedicineThyroid nodulesNodule (geology)PalpationFine-needle aspirationThyroidectomyMalignancyRadiologyThyroidGoiterBiopsyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Malignancy must be ruled out in palpable as well as nonpalpable nodules larger than 1 cm. If the thyroid-stimulating hormone (TSH) level is normal or elevated cytologic evaluation via fine needle aspiration (FNA) is recommended H a nodule is identified. The use of ultrasound-guided FNA increases the diagnostic yield. About 5% to 10% of FNAs are nondiagnostic; this is more likely with smaller nodules and with palpation-guided FNA. Folow-up visits for benign nodules include clinical reassessment, TSH testing, and measurement of the nodule. Surgery is indicated for malignant nodules, large benign nodules, or symptomatic multinodular goiters. If the TSH level is subnormal, a radionuclide thyroid scan is recommended. Patients with hot nodules require evaluation and possible treatment for hyperthyroidism. Radioiodine therapy is safe and effective for these patients and for patients with toxk multinodular goiters (particularly those with small goiters and those with a history of thyroidectomy).

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)0.010
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0130.010

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 head0.009
GPT teacher head0.294
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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