Prognostic Implications of Site of Recurrence in Patients with Recurrent Well-Differentiated Thyroid Cancer
Bibliographic record
Abstract
OBJECTIVE: The site of treatment failure in patients with recurrent well-differentiated thyroid carcinoma (WDTC) has implications for both the mode of salvage therapy and disease-specific prognosis. The objective of this study was to evaluate the prognostic significance of the site of failure in patients with recurrent WDTC. DESIGN: Patients with recurrent thyroid cancer were identified retrospectively from 1963 to 2000. SETTING: Data were retrieved from the thyroid cancer database at the Department of Otolaryngology-Head and Neck Surgery, Mount Sinai Hospital, Toronto (1963-2000). METHODS: Patients were placed into four different groups according to their site of recurrence: group 1, local recurrence; group 2, regional recurrence; group 3, distant recurrence; and group 4, unspecified recurrence. Patient, tumour, and treatment data were collected and compared. The Kaplan-Meier method was used to calculate survival data, and curves were compared using the log rank test. MAIN OUTCOME MEASURES: Outcome included alive, no disease; alive with disease; dead, no disease; and dead of disease. RESULTS: Seventy-three patients (21 male, 52 female; median age 44 years, range 18-84 years) were eligible for inclusion in this study. Relevant data were divided according to group 1, 22 patients; group 2, 24 patients; group 3, 13 patients; and group 4, 14 patients. The groups were comparable in terms of primary tumour and treatment factors. The actuarial disease-specific survival rate after salvage therapy was less significant in patients who developed a distant recurrence versus a local recurrence, a regional recurrence, or an unspecified recurrence (ie, 66% vs 95%, 88%, and 92%, respectively; p = .06). CONCLUSIONS: Patients with distant recurrences have a poor prognosis, with a significant reduction in the actuarial disease-specific survival rate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".