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Record W1507452253

Age at diagnosis of smoking-related disease.

2003· article· en· W1507452253 on OpenAlexaboutno aff
Jiajian Chen

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCOPDProportional hazards modelDiseaseDemographyPulmonary diseaseIncidence (geometry)Rheumatoid arthritisGerontologyEnvironmental healthPhysical therapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: This study assesses the relationship between the age of daily smoking initiation and the age at diagnosis of chronic obstructive pulmonary disease (COPD), heart disease and rheumatoid arthritis. DATA SOURCE: The data are from the 2000/01 Canadian Community Health Survey (CCHS). The sample for the analysis consisted of 34,144 respondents aged 35 to 64 living in private households in the provinces and territories. ANALYTICAL TECHNIQUES: The life table approach was used to estimate the cumulative incidence of smoking-related disease. Cox proportional hazards regression models were used to estimate the relative risks of disease by the age when daily smoking began. MAIN RESULTS: For both sexes, the younger the individuals were when they became daily smokers, the sooner they were diagnosed with COPD, heart disease or rheumatoid arthritis. Even when education, household income and number of cigarettes smoked per day were taken into account, adolescent starters were at increased risk of these diseases, compared with never-smokers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.254
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), 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

Citations14
Published2003
Admission routes1
Has abstractyes

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Same venuePubMed→Same topicSmoking Behavior and Cessation→French-language works237,207→