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Alcohol and pancreatitis mortality at the population level: experiences from 14 western countries

2004· article· en· W2094737519 on OpenAlexaboutno aff
Mats Ramstedt

Bibliographic record

VenueAddiction · 2004
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
FundersSocialdepartementetEuropean Commission
KeywordsPer capitaDemographyMortality rateAlcohol consumptionPopulationMedicineConsumption (sociology)PancreatitisAlcoholEnvironmental healthGeographySurgeryBiology

Abstract

fetched live from OpenAlex

AIMS: To test if there is relationship between alcohol consumption and pancreatitis mortality at the population level. DATA AND METHODS: Annual pancreatitis death rates for 1950-95 were converted into age-adjusted mortality rates per 100,000 inhabitants. Per capita alcohol consumption was measured by alcohol sales. The relationship was estimated with time-series analysis on data from 14 western countries. Several models were tested with different assumptions about risk function and lag structure. RESULTS: According to the assumed most appropriate model, a positive relationship was found in each country, and statistical significance was reached in all countries except from Finland, Italy and Canada. The magnitude of the association was fairly consistent across countries, with the alcohol effect parameters ranging between 0.05 and 0.14. However, Sweden and Norway deviated from this pattern with estimates between 0.30 and 0.40. CONCLUSIONS: Pancreatitis joins a wide range of causes of death where the mortality rate is influenced by per capita alcohol consumption, and more so in northern Europe. It is suggested that pancreatitis mortality is an important indicator of alcohol-related harm, not least because a large amount of morbidity is likely to be connected to the mortality rate.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.300
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2004
Admission routes1
Has abstractyes

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