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Abstract A106: Coffee consumption and risk of lethal and advanced prostate cancer

2010· article· en· W2091481895 on OpenAlexaff
Kathryn M. Wilson, Julie L. Kasperzyk, Jennifer R. Rider, Michaël Pollak, Meir J. Sampfer, Edward L. Giovannucci, Lorelei A. Mucci

Bibliographic record

VenueCancer Prevention Research · 2010
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsProstate cancerMedicineCaffeineCohortCancerProportional hazards modelRelative riskProstateOncologyLower riskInternal medicineCohort studyProspective cohort studyGynecologyPhysiologyConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background: Coffee is a commonly consumed beverage which contains many biologically active compounds. It is a major source of caffeine and antioxidants, and it has effects on insulin and glucose metabolism as well as sex hormone levels. This suggests that coffee may have a beneficial effect on risk of prostate cancer; however, this association has not been studied in depth. Methods: We prospectively investigated the association between coffee intake and prostate cancer risk in the Health Professionals' Follow-Up Study. From 1986 to 2006, 4975 cases of prostate cancer were identified. Intake of regular and decaffeinated coffee was assessed in 1986 and every four years thereafter. We used Cox proportional hazards models to assess the association between coffee intake and risk of prostate cancer. To investigate possible mechanisms, we used linear regression to examine the cross-sectional association between coffee intake and levels of circulating hormones in blood samples collected between 1993 and 1995 from a subset of men in the cohort. Results: There was a weak inverse association between total coffee intake and overall prostate cancer risk, with an adjusted relative risk of 0.81 (95% CI: 0.67–0.97, p-value for linear trend=0.08) for men consuming six or more cups of coffee (regular or decaf) per day compared to non-drinkers. The association was stronger for lethal and advanced (fatal, T3b or T4, or N1 or M1) prostate cancers. Compared to non-drinkers, the highest consumers had a relative risk of 0.41 (CI: 0.22–0.77, p-trend=0.02) for lethal cancer and 0.41 (CI: 0.24–0.71, p-trend=0.002) for advanced cancer. The association with lethal and advanced cancers was more pronounced in never smoking men (RR=0.11; CI: 0.02–0.83, p-trend=0.001 for advanced cancer). The inverse association was seen in both the pre-PSA and PSA screening eras. Results were similar for regular and decaffeinated coffee. For the highest versus lowest groups of intake, the relative risk of advanced cancer was 0.67 (CI: 0.34–1.33, p-trend=0.03) for regular coffee and 0.72 (CI: 0.46–1.13, p-trend=0.03) for decaffeinated coffee. There was an inverse association between caffeine intake and risk of lethal and advanced disease, but this association was weaker than that seen for coffee, and it became non-significant when total coffee intake was also included in the model. Coffee intake was inversely associated with plasma levels of C-peptide (p-trend=0.003) and positively associated with testosterone (p-trend=0.03) and SHBG (p-trend=0.04). Coffee intake was not related to circulating levels of IGF-1, IGFBP3, free testosterone, or estradiol. Conclusion: The strong inverse association between coffee consumption and risk of lethal and advanced prostate cancers is potentially important and should be confirmed in other populations. The association appears to be related to non-caffeine components of coffee and may be mediated through effects on insulin metabolism and/or sex hormone levels. Citation Information: Cancer Prev Res 2010;3(1 Suppl):A106.

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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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.478
Teacher spread0.399 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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