Multicentricity in Papillary Thyroid Carcinoma: Analysis of Predictive Factors
Bibliographic record
Abstract
OBJECTIVES: Multicentricity has been cited as a rationale for total thyroidectomy in patients with papillary thyroid carcinoma (PTC) confined to one lobe. The purpose of this study was to examine the incidence of multicentricity of PTC in a cohort of 165 patients with PTC confined to one lobe and to examine clinical and pathologic features that may help predict for the presence of contralateral disease. DESIGN: Retrospective review. SETTING: Tertiary care hospital. METHOD: A retrospective review of 165 patients with PTC confined to one lobe treated at the Toronto General Hospital from 1992 to 1997 was performed. MAIN OUTCOME MEASURE: The predictive factors affecting the presence of multicentricity of PTC were analyzed. RESULTS: The incidence of PTC present in the contralateral lobe was 56.3%. We were unable to find any correlation of multicentricity with age, sex, tumour size, extrathyroidal spread, thyroiditis, or tall cell variant of PTC. There were trends toward higher incidence of contralateral disease in those patients with a prior history of irradiation and those with lymphatic metastases, but these trends did not reach statistical significance. CONCLUSIONS: The incidence of contralateral disease in papillary thyroid cancer treated at the Toronto Hospital was 56.3%. There was a higher incidence of contralaterality in those patients with a previous history of irradiation and in those with lymphatogenous metastases, but this did not reach statistical significance.
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 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 | 0.001 | 0.004 |
| 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".