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Record W2028948028 · doi:10.1080/01635581.2011.523496

Association of Tea Consumption and Cutaneous Squamous Cell Carcinoma

2011· article· en· W2028948028 on OpenAlexfundno aff
Maryam M. Asgari, Emily White, E. Margaret Warton, Mohammad K. Hararah, Gary Friedman, Mary‐Margaret Chren

Bibliographic record

VenueNutrition and Cancer · 2011
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institute of Arthritis and Musculoskeletal and Skin DiseasesUniversity of Waterloo
KeywordsMedicineOdds ratioConfidence intervalLogistic regressionSkin cancerRisk factorCase-control studyPopulationProtective factorFamily historyInternal medicineDemographyCancerDermatologyEnvironmental health

Abstract

fetched live from OpenAlex

Laboratory and epidemiologic studies suggest a protective effect of tea consumption on risk of cutaneous squamous cell carcinoma (SCC). We designed a case-control study to examine the association between putative protective exposures, including tea consumption, and SCC risk using a large health maintenance organization population. Cases (n=415) were defined as Kaiser Permanente Northern California (KPNC) members with a pathology-verified SCC in 2004 and controls (n=415) were age-, gender-, and race-matched members with no previous history of skin cancer. Tea consumption and SCC risk factors were ascertained by questionnaire. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional logistic regression to estimate the association of SCC with regular use, as well as dose and duration of tea consumption. Risk factor adjusted models included education, smoking, hair and eye color, skin type, family history of skin cancer, and history of freckling, sunburns, sun exposure, and tanning bed use. Adjusted analyses showed no reduction in SCC risk with regular consumption of tea (OR=1.11, 95% CI: 0.81-1.54). Examining duration, dose, and combined duration and dose exposure variables did not alter findings. We found no evidence that tea consumption was associated with cutaneous SCC risk.

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 score0.025
Threshold uncertainty score0.235

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 head0.027
GPT teacher head0.263
Teacher spread0.236 · 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

Citations20
Published2011
Admission routes1
Has abstractyes

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