The Rising Tide of Liver Cirrhosis Mortality in the UK: Can its Halt be Predicted?
Why this work is in the frame
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Bibliographic record
Abstract
AIM: To explore whether it is possible to predict future United Kingdom (UK) death rate of liver cirrhosis based on birth cohort models. METHOD: Routinely available mortality data were plotted graphically to display the trends in cirrhosis mortality by birth cohort in several countries. Data for Italy, France, Portugal, USA, Canada, Scotland and England & Wales were plotted by birth cohort. RESULTS: The current increase in cirrhosis mortality in the UK countries is being driven by a birth cohort effect. Later birth cohorts have much higher death rates than preceding ones. This pattern was seen in Western European and North American countries, which had also experienced increases in liver cirrhosis mortality. However, after the increases, those countries had sudden and persistent falls in death rates. For each country, the dramatic reversal of death rates occurred at a single calendar period and in every age group simultaneously. CONCLUSION: Prediction of future death rates using information from previous cohorts is not possible due to the occurrence of sudden reversals in death rates. The sudden fall in the death rates of several birth cohorts suggests that reversing the current UK trend of rising liver cirrhosis deaths is possible.
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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 it