A systematic review of primary active surveillance management of low-risk papillary carcinoma
Bibliographic record
Abstract
PURPOSE OF REVIEW: Active surveillance is close follow-up of neoplasms, with predetermined intervention triggers. We systematically reviewed the published English language literature on primary active surveillance of low-risk papillary thyroid cancer (PTC). RECENT FINDINGS: We searched seven electronic databases (1980-2015), supplemented with a hand search. Two reviewers independently screened 1715 citations and reviewed 32 full-text papers, ultimately including two papers. Data were independently abstracted. There were two Japanese single-center, single-arm studies reporting on 1235 and 322 patients with PTC microcarcinoma (primary ≤1 cm in diameter) confined to the thyroid. Mean study follow-up was of 5.0 and 6.5 years, respectively. Disease triggers for thyroidectomy included progression of the primary tumor or incident metastatic disease. The rates of thyroidectomy were 15.5% (191/1235) and 8.7% (28/322) in respective studies. The incidence of primary tumor enlargement ≥3 mm in maximal diameter was 4.6% (58/1235) and 5.0% (16/322). The incidence of nodal metastases was 1.5% (19/1235) and 0.9% (3/322). There were neither reports of PTC-related death nor development of distant metastatic disease. Quality of life, psychosocial health, and economic outcomes were not reported. SUMMARY: In two Japanese single-arm studies, active surveillance of PTC microcarcinoma was relatively well tolerated; however, more long-term outcome research is needed.
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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 | 0.006 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".