MétaCan
Menu
Back to cohort
Record W2057819878 · doi:10.1007/s002680010159

Hashimoto's Disease and Thyroid Lymphoma: Role of the Surgeon

2000· review· en· W2057819878 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Journal of Surgery · 2000
Typereview
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineDebulkingThyroid lymphomaThyroidThyroiditisDiseaseLymphomaThyroid diseasePathologyGeneral surgerySurgeryInternal medicineCancer

Abstract

fetched live from OpenAlex

With the turn of the century, the role of the surgeon in the treatment of diseases such as Hashimoto's and thyroid lymphoma has diminished. That is not to say that the surgeon must not have a thorough understanding of these diseases and the role he or she plays in their diagnosis and treatment. Hashimoto's disease is a common disease. Not infrequently the endocrine surgeon is faced with a thyroid nodule in a background of Hashimoto's disease. Interpretation of fine-needle aspiration (FNA) of a nodule in a patient with the background of Hashimoto's disease may be misleading if the surgeon fails to understand the limitations of FNA. The role of the surgeon in the treatment and diagnosis of thyroid lymphomas has evolved from surgical debulking to open biopsy. With the use of irradiation and chemotherapy, the need for surgical debulking has nearly disappeared. The recent development of ancillary techniques such as light chain restriction, flow cytometry, gene rearrangement, and immunohistochemical staining have enabled cytopathologists to diagnose thyroid lymphoma by FNA, further diminishing the surgeon's role in the diagnosis and treatment of this disease.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
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 head0.033
GPT teacher head0.285
Teacher spread0.252 · 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