Trends in net survival of patients with cutaneous melanoma in Japan, 2000–14 (CONCORD-3)
Bibliographic record
Abstract
BACKGROUND: We assessed survival trends and international comparisons of patients with cutaneous melanoma from Japanese regional population-based cancer registries participating in the CONCORD-3 study. METHODS: Subjects were patients aged 15-99 years diagnosed with cutaneous melanoma during 2000-2014, with follow-up completed either 5 years after diagnosis or through 31 December 2014. Five-year net survival was estimated by morphological type and calendar period of diagnosis, using the Pohar Perme estimator, and age-standardized using the International Cancer Survival Standard weights. RESULTS: Age-standardized 5-year net survival for cutaneous melanoma remained stable among 4018 eligible subjects as follows: 68.9% during 2000-2004 (862 patients), 68.3% during 2005-2009 (1819 patients), and 69.0% during 2010-2014 (1337 patients). Five-year net survival in 2010-2014 was highest for lentigo maligna melanoma (89.0%, 64 patients, not age-standardized), followed by superficial spreading melanoma (88.4%, 91 patients) and acral lentiginous melanoma (83.7%, 163 patients, not age-standardized). However, survival for malignant melanoma not otherwise specified (68.0%, 1120 patients) and nodular melanoma was lower (56.5%, 58 patients). Five-year net survival for all types of cutaneous melanoma combined during 2010-2014 was lower in Japan (69.0%) and South Korea (59.9%) than in Australia, France, Germany, Italy, UK, Canada and the US (>85.7%). CONCLUSIONS: International disparities in net survival for cutaneous melanoma may be attributable to differences in the distribution of histological sub-types of melanoma and to variation in the availability and utilization of treatment modalities. Continuous monitoring of cancer survival is crucial for developing effective cancer control strategies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".