Bibliographic record
Abstract
IMPORTANCE: Little is known about survival after a diagnosis of a second or higher-order (multiple) primary melanoma, and no study has explored survival in a population-based sample that included patients with single primary melanomas (SPMs) and multiple primary melanomas (MPMs) of any stage. Because people with a first primary melanoma are known to have an increased risk of being diagnosed with another, evidence for prognosis is needed. OBJECTIVE: To determine whether survival after diagnosis was better in patients with MPMs than with SPMs, as suggested in a recent study. DESIGN Survival analysis with median follow-up of 7.6 (range, 0.4-10.6) years. SETTING: The Genes, Environment, and Melanoma Study enrolled incident cases of melanoma from population-based cancer registries in Australia, Canada, Italy, and the United States. Multiple primary melanomas were ascertained during a longer period than SPM. PARTICIPANTS: Two thousand three hundred seventy-two patients with SPM and 1206 with MPM. EXPOSURE: Diagnosis with melanoma. MAIN OUTCOMES AND MEASURES: Melanoma-specific fatality hazard ratios (HR) and 95% confidence intervals associated with clinical and pathological characteristics of SPM, MPM, and both in Cox proportional hazards regression models. RESULTS: Melanoma thickness was the main determinant of fatality (HR for >4 mm, 7.68 [95% CI, 4.46-13.23]); other independent predictors were ulceration, mitoses, and scalp location. After adjustment for these other predictors, we found little difference in fatality between MPM and SPM (HR for MPM relative to SPM, 1.24 [95% CI, 0.91-1.69; P = .18]). Thicker SPM, however, had higher fatality (HR for >4 mm, 13.56 [95% CI, 6.47-28.40]) than thicker MPM (2.93 [1.17-7.30]). CONCLUSIONS AND RELEVANCE: Although overall fatalities due to SPM and MPM were similar, relative fatality for thicker SPM was greater than that for thicker MPM. This finding may offer support for a difference in outcome between patients with SPM and MPM related to factors other than closer surveillance and earlier diagnosis. The better outcomes are worth further exploration.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".