Bibliographic record
Abstract
BACKGROUND: Several studies have examined the correlation between patient and tumour characteristics and sentinel lymph node (SLN) metastasis in patients with melanoma. Although most studies have identified Breslow thickness as an important factor, results for other variables have been conflicting. Much of this variability is probably because of differences in measurement techniques and reporting practices at different institutions. We sought to identify the predictors of SLN melanoma metastasis in our institution and patient population. METHODS: We performed a retrospective chart review of 348 patients with malignant melanoma who underwent SLN biopsy at a single institution from January 1999 to April 2007. We compared multiple variables related to patient demographics, primary tumour characteristics and SLN characteristics between patients in the positive and negative SLN groups. RESULTS: Breslow thickness and nodular tumour type were independent factors significantly correlated with a positive SLN biopsy result in our study. Head and neck tumour location correlated with a lower likelihood of positive SLN status in univariate but not multivariate analyses. CONCLUSION: This study confirms the status of Breslow thickness as a reproducible predictor of positive SLN status. We also found that nodular type was predictive of positive SLN status, an outcome that has not been reported by others.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".