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Record W4292372541 · doi:10.1002/ijc.34253

Baseline and lifetime alcohol consumption and risk of skin cancer in the European Prospective Investigation into Cancer and Nutrition cohort (<scp>EPIC</scp>)

2022· article· en· W4292372541 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
FundersNational Cancer InstituteRijksinstituut voor Volksgezondheid en MilieuEuropean Research CouncilCancer Research UK Manchester CentreInstitut Gustave-RoussyMedical Research CouncilMedical Research Council CanadaCancerfondenInstitut National Du CancerInstitut National de la Santé et de la Recherche MédicaleNational Institute for Health and Care ResearchDepartment of Health and Aged Care, Australian GovernmentEuropean CommissionWellcome TrustCancer Research UKWorld Health OrganizationStroke AssociationFood Standards AgencyLigue Contre le CancerBundesministerium für Bildung und ForschungCNIBBritish Heart FoundationMutuelle Générale de l'Education NationaleNational Research Council Sri LankaWorld Cancer Research FundStavros Niarchos FoundationKræftens BekæmpelseCentre International de Recherche sur le Cancer
KeywordsEuropean Prospective Investigation into Cancer and NutritionEPICProspective cohort studyAlcohol consumptionCancerMedicineCohortBaseline (sea)Cohort studyDiet and cancerConsumption (sociology)OncologyEnvironmental healthAlcoholInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Experimental evidence suggests that alcohol induces cutaneous carcinogenesis, yet epidemiological studies on the link between alcohol intake and skin cancer have been inconsistent. The European Prospective Investigation into Cancer and Nutrition (EPIC) is a prospective cohort initiated in 1992 in 10 European countries. Alcohol intake at baseline and average lifetime alcohol intake were assessed using validated country‐specific dietary and lifestyle questionnaires. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated in Cox models. A total of 14 037 skin cancer cases (melanoma: n = 2457; basal‐cell carcinoma (BCC): n = 8711; squamous‐cell carcinoma (SCC): n = 1928; unknown: n = 941) were identified among 450 112 participants (average follow‐up: 15 years). Baseline alcohol intake was positively associated with SCC (&gt;15 vs 0.1‐4.9 g/day: HR = 1.44, 95% CI = 1.17‐1.77; P trend = .001), BCC (HR = 1.12, 95% CI = 1.01‐1.23; P trend = .04), and melanoma risks in men (HR = 1.17, 95% CI = 0.95‐1.44; P trend = .17), while associations were more modest in women (SCC: HR = 1.09, 95% CI = 0.90‐1.30; P trend = .13; BCC: HR = 1.08, 95% CI = 1.00‐1.17, P trend = .03; melanoma: HR = 0.93, 95% CI = 0.80‐1.08, P trend = .13). Associations were similar for lifetime alcohol intake, with an attenuated linear trend. Lifetime liquor/spirit intake was positively associated with melanoma (fourth vs first quartile: HR = 1.47, 95% CI = 1.08‐1.99; P trend = .0009) and BCC risks in men (HR = 1.17, 95% CI = 1.04‐1.31; P trend = .14). Baseline and lifetime intakes of wine were associated with BCC risk (HR = 1.25 in men; HR = 1.11‐1.12; in women). No statistically significant associations were found between beverage types and SCC risk. Intake of beer was not associated with skin cancer risk. Our study suggests positive relationships between alcohol intake and skin cancer risk, which may have important implications for the primary prevention of skin cancer.

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.

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)0.000
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 score0.030
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.309
Teacher spread0.296 · 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