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Record W2481585435 · doi:10.1503/cjs.003816

Impact of sex on the clinicopathological characteristics and prognosis of papillary thyroid cancer

2016· article· en· W2481585435 on OpenAlexaffvenue
Ekua Yorke, Adrienne Melck, Sam M. Wiseman

Bibliographic record

VenueCanadian Journal of Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicinePapillary thyroid cancerThyroid cancerPathologicalMalignancyIncidence (geometry)BiopsyCancerDiseaseMetastasisThyroidInternal medicineOncologyPathology

Abstract

fetched live from OpenAlex

SUMMARY: Papillary thyroid cancer (PTC) is the most common endocrine malignancy. Observed clinical and pathological differences between the sexes of PTC patients have been reported. There is currently no consensus regarding the impact of sex on PTC prognostication. We studied 566 PTC patients and observed that there was a higher PTC incidence in women, that PTC diagnosis was more challenging in women, and that men tended to present with larger cancers. However, once PTC is diagnosed, both sexes have a similar cancer prognosis, as evaluated using the MACIS (Metastasis, Age, Completeness of Resection, Invasion, Size) score. Our observations suggest that research efforts should be especially directed at improving the diagnostic yield of preoperative fine needle aspiration biopsy in women who present with nodular thyroid 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.062
GPT teacher head0.306
Teacher spread0.244 · 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

Citations15
Published2016
Admission routes2
Has abstractyes

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