A systematic review of primary active surveillance management of low-risk papillary carcinoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it