Incidental positive lymph nodes in patients with papillary thyroid cancer is independently associated with recurrent disease
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Pathological examination occasionally reveals incidental central lymph nodes metastasis (iLNM) after thyroidectomy for patients with papillary thyroid cancer (PTC) who did not undergo compartment-orientated lymphadenectomy. We aimed to investigate the risk of recurrence for patients with iLNM. METHODS: We conducted a retrospective review of all patients undergoing total thyroidectomy for PTC (January 2000 to January 2010). Patients with distant metastases, central- or lateral neck dissection and pre-operative suspicious lymph nodes (by ultrasound or clinical examination) were excluded. The association between iLNM and recurrent disease was investigated using Kaplan-Meier survival estimates and Cox proportional hazards analysis. RESULTS: 225/1000 patients had incidental nodes after total thyroidectomy for PTC. 183 were node-negative and 42 had iLNM. Mean age was 46 years and 201 (89%) were women. Mean number of resected nodes was 2.3. Disease recurred in 8/183 (4.4%) of patients with N0 versus 7/42 (17%) with iLNM. After adjusting for other factors, iLNM was independently associated with recurrent disease (hazard ratio = 4.01 [95% CI 1.21-13.3]). CONCLUSIONS: Positive incidental lymph nodes are independently associated with recurrent disease in patients with PTC. These patients should therefore be monitored more carefully.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".