Stage III Melanoma Incidence and Impact of Transitioning to the 8th AJCC Staging System: A US Population-Based Study
Bibliographic record
Abstract
AIM: To estimate incidence of stage III melanoma using the American Joint Committee on Cancer (AJCC) staging, 7th and 8th edition. PATIENTS & METHODS: The SEER US cancer registry was analyzed (2010-2014). AJCC7 stages were recorded in the data; AJCC8 stages were inferred. RESULTS: Of 106,195 melanoma patients, 7669 and 7342 had stage III melanoma by AJCC7 and AJCC8, respectively (95% overlap). Nearly 30% of patients with AJCC7 stage III melanoma were reclassified in a higher stage III group by AJCC8 versus 7% in lower stage group. Regardless of the AJCC edition, incidence of stage III melanoma has increased from 2010 to 2014 both overall and within each stage III group. CONCLUSION: Providing appropriate management to this growing population of high-risk patients is a priority.
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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 | 0.002 |
| 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".