Diminishing diagnosis of follicular thyroid carcinoma
Bibliographic record
Abstract
BACKGROUND: Follicular carcinomas have been reported as 10% to 15% of thyroid malignancies. Refinements in the histologic criteria applied in the classification of follicular lesions have occurred. We aim to document the true incidence of follicular cancers in a cohort from a high-volume endocrine practice. METHODS: Patient charts were reviewed and cancers were classified into major subtypes; papillary cancers were further classified by common variants. Proportions were compared to historic Surveillance, Epidemiology, and End Results (SEER) database proportions. RESULTS: Only 2.7% of patients had follicular carcinoma. The proportion of patients with follicular cancer was less than the reported rates of 10% to 15%, and less than the 6.7% extrapolated from SEER. CONCLUSION: The proportion of follicular cancers is less than traditionally reported. This change is due to an increased incidence of papillary cancers, and modifications of the histologic criteria used for classification of encapsulated follicular lesions. There are potential prognostic consequences, as follicular cancers have been perceived as more aggressive.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".