MétaCan
Menu
Back to cohort
Record W2184334083

Smoking-attributable mortality and expected years of life lost in Canada 2002: conclusions for prevention and policy.

2007· article· en· W2184334083 on OpenAlexaffabout
Dolly Baliunas, Jayadeep Patra, Jürgen Rehm, Svetlana Popova, Murray Kaiserman, Benjamin J. Taylor

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsMedicineYears of potential life lostCOPDLung cancerDiseaseCigarette smokingDemographyPulmonary diseaseEnvironmental healthBurden of diseaseCause of deathLife expectancyPopulationInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Cigarette smoking is one of the most important risk factors for burden of disease. Our objective was to estimate the smoking-attributable deaths and the years of life lost for Canada 2002. For Canada in 2002, 37,209 of all deaths aged 0 to 80+ years were attributable to smoking, 23,766 in men and 13,443 in women. This constituted 16.6 percent of all deaths in Canada, 21 percent for men and 12.2 percent for women. Main causes of smoking-attributable death were malignant neoplasms (17,427), cardiovascular diseases (CVD) (10,275) and respiratory diseases (8,282). Lung cancer (13,401) and chronic obstructive pulmonary disease (COPD) (7,533) were the single largest disease contributors to deaths caused by smoking. 515,608 years of life were lost prematurely in Canada in that year, 316,417 years in men and 199,191 years in women. Cigarette smoking is a major contributor to mortality in Canada and its impact on Canadian society continues to be an unacceptable burden.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.126
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.055
GPT teacher head0.301
Teacher spread0.246 · 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

Citations68
Published2007
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicGlobal Public Health Policies and EpidemiologyFrench-language works237,207