Familial Non‐Medullary Thyroid Cancer: A Matched‐Case Control Study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: Familial non-medullary thyroid cancer (FNMTC) is a newly recognized disease entity and can be distinguished from the more common sporadic non-medullary thyroid cancer. The purpose of this study was to determine some of the potential distinguishing features of FNMTC. STUDY DESIGN: Retrospective association study and matched-case control study. METHODS: Five hundred forty-three cases of well-differentiated follicular origin thyroid cancers were identified and collected in a database. Among this population, 24 cases of FNMTC were identified. A case of FNMTC was defined as a patient with the following two criteria: a well-differentiated follicular origin thyroid cancer and at least one first-degree relative with a well-differentiated epithelial origin thyroid cancer. The unmatched sporadic and FNMTC groups were compared using t test, Phi test, Cramer V test, and Pearson and Spearman correlation tests. Twenty-four FNMTC cases were matched to 24 sporadic cases based on age, gender, stage of disease at presentation, and tumor size. Clinicopathologic features, management, and outcome were analyzed statistically using a matched-proportional z test. Disease-free survival and disease-specific survival were analyzed using log-rank test and the Kaplan-Meier function. A P-value less than .05 was considered statistically significant. RESULTS: : There was no significant difference in ionizing radiation exposure, disease multifocality, surgical management, or recurrence between the sporadic and FNMTC patients. Although FNMTC patients tend to have improved disease-free survival and disease-specific survival, the difference was not significant at the 5% level. CONCLUSION: Although FNMTC is characterized by strong family history, these patients do not tend to have worse prognosis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it