Epidemiological Study of Prostate Cancer in the Province of Salamanca (2006-2015)
Bibliographic record
Abstract
OBJECTIVES: Knowing the incidence of prostate cancer in Salamanca and its evolution, as well as the age at diagnosis and its evolution. In addition, analyzing the mortality from prostate cancer in the province of Salamanca. METHODS: Descriptive and analytical, longitudinal and retrospective observational study. From the collection of data from the Pathological Anatomy service and the Clinical Documentation service of the Hospital Complex of Salamanca a database was developed for the calculation of incidence rates. The information collected on mortality was obtained through the National Institute of Statistics. For regression analysis, segmented "jointpoint" models were developed. RESULTS: 2676 males diagnosed with prostate cancer were recorded in the province of Salamanca (period 2006-2015). The risk of prostate cancer up to age 74 in 2006 was 6.23%, almost double in 2010. The evolution of mortality rates adjusted to the European population in the province of Salamanca during the period 2006-2015 showed a slight decrease. CONCLUSIONS: In general, Prostate cancer incidence rates increased progressively over the years studied, similar to Spain's overall rates. These rates increased as age progressed. In general, our incidence rates were lower than those reported by the provinces of northern Spain (except Vizcaya) and higher than those recorded by the provinces of southern Spain. In Europe, our rate was surpassed by countries in northern and western Europe and lower than countries in southern and eastern Europe, and part of central Europe. Countries like U.S.A had rates higher than ours, while Canada accounted for a similar rate. On the other hand, mortality rates remained stable during the middle of the study period, suffering from then on a non-statistically significant anual decrease.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".