Survival of solid cancer patients in France, 1989–2013: a population-based study
Bibliographic record
Abstract
This study provides updates of net survival (NS) estimates at 5, 10, and 15 years as well as survival trends for 35 solid cancers in France using data from 19 population-based cancer registries. The study considered all cases of solid cancer diagnosed between 1989 and 2010 in patients older than 15 years of age who were actively followed up until 30 June 2013. NS was estimated using the Pohar-Perme method. The age-standardized NS used the international cancer survival standard weights. The 5-year age-standardized NSs ranged from 4% (pleural mesothelioma) to 93% (prostate) in men and from 10% (pancreas) to 97% (thyroid) in women. The 10-year age-standardized NSs ranged from 2% (pleural mesothelioma) in both sexes to 95% (testis) in men and 91% (thyroid) in women. The most frequent cancers (namely, breast and prostate cancers) had the highest NSs: 87 and 93% at 5 years and 78 and 84% at 10 years, respectively. Several cancers (especially lung, pancreas, and liver cancer) had very poor prognoses (5-year NSs under 20%). Fifteen-year NSs remained high for testis cancer. In most cancers, 5- and 10-year age-standardized NSs increased between 1989 and 2010. Advanced age was associated with a poor prognosis and little improvement in survival. The increases in cancer survival are probably related to earlier diagnosis and therapeutic advances over the last decade. However, poor prognoses are still found in some alcohol-related and tobacco-related cancers and in elderly patients, highlighting the need for more prevention, diagnosis, and treatment efforts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".