Evidence map›Paper›PMID 26685908›Full record

ArticleInternational journal of cancer2016

Associations between unprocessed red and processed meat, poultry, seafood and egg intake and the risk of prostate cancer: A pooled analysis of 15 prospective cohort studies.

Kana Wu, Donna Spiegelman, Tao Hou, Demetrius Albanes, Naomi E Allen, Sonja I Berndt, Piet A van den Brandt, Graham G Giles, Edward Giovannucci, R Alexandra Goldbohm and 21 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 6 pooled it
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 6 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  6. Pooled it
  7. Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2024
    Trial
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  17. Occurrence of extended- spectrum β-lactamase harboringFrontiers in cellular and infection microbiology · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 15 institutions in 6 countries.

Kana WuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.
Donna SpiegelmanDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.
Tao HouDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.
Demetrius AlbanesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD.
Naomi E AllenNuffield Department of Population Health, Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD.
Piet A van den BrandtDepartment of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Graham G GilesCancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia.
Edward GiovannucciDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.
R Alexandra GoldbohmDepartment of Food and Chemical Risk Analysis, TNO Quality of Life, Zeist, The Netherlands.
Gary G GoodmanDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Phyllis J GoodmanSWOG Statistical Center, Seattle, WA.
Niclas HåkanssonDivision of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Manami InoueEpidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan.
Timothy J KeyNuffield Department of Population Health, Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Laurence N KolonelDepartment of Epidemiology, Cancer Research Center, University of Hawaii, Honolulu, HI.
Satu MännistöDepartment of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.
Marjorie L McCulloughEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Marian L NeuhouserDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Yikyung ParkDivision of Public Health Sciences, Washington University School of Medicine, St. Louis, MO.
Elizabeth A PlatzDepartment of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jeannette M SchenkCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD.
Meir J StampferDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.
Victoria L StevensEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Shoichiro TsuganeEpidemiology and Prevention Group, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan.
Kala VisvanathanDepartment of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Lynne R WilkensDepartment of Epidemiology, Cancer Research Center, University of Hawaii, Honolulu, HI.
Alicja WolkDivision of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Regina G ZieglerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD.
Stephanie A Smith-WarnerDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.
Harvard University · USFred Hutch Cancer Center · USNational Cancer Institute · USAmerican Cancer Society · USJohns Hopkins University · USKarolinska Institutet · SEUniversity of Oxford · GBCancer Center of Hawaii · USCancer Research And Biostatistics · USDivision of Cancer Epidemiology and GeneticsFinnish Institute for Health and Welfare · FIMaastricht University · NLUniversity of Hawaii System · USUniversity of Melbourne · AUWashington University in St. Louis · US

Funding

SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI RIMM, ERIC B · 1991 to 2009
$41.8M
Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
THE CAROTENE AND RETINOL EFFICACY TRIAL (CARET)U01CA063673 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOODMAN, GARY E · 1994 to 2006
$13.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
INFRASRUCTURE SUPPORT AND DATA ENHANCEMENTS FOR THE CARET BIOREPOSITORYUM1CA167462 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOODMAN, GARY E · 2013 to 2017
$2.8M
Cancer Research UK 16491Cancer Research UK 19170NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA55075NCI NIH HHS P30 CA071789NCI NIH HHS U01 CA063673NCI NIH HHS U10 CA037429NCI NIH HHS UG1 CA189974NCI NIH HHS UM1 CA167462NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA182883
6 · The paper itself

Abstract

Reports relating meat intake to prostate cancer risk are inconsistent. Associations between these dietary factors and prostate cancer were examined in a consortium of 15 cohort studies. During follow-up, 52,683 incident prostate cancer cases, including 4,924 advanced cases, were identified among 842,149 men. Cox proportional hazard models were used to calculate study-specific relative risks (RR) and then pooled using random effects models. Results do not support a substantial effect of total red, unprocessed red and processed meat for all prostate cancer outcomes, except for a modest positive association for tumors identified as advanced stage at diagnosis (advanced(r)). For seafood, no substantial effect was observed for prostate cancer regardless of stage or grade. Poultry intake was inversely associated with risk of advanced and fatal cancers (pooled multivariable RR [MVRR], 95% confidence interval, comparing ≥ 45 vs. <5 g/day: advanced 0.83, 0.70-0.99; trend test p value 0.29), fatal, 0.69, 0.59-0.82, trend test p value 0.16). Participants who ate ≥ 25 versus <5 g/day of eggs (1 egg ∼ 50 g) had a significant 14% increased risk of advanced and fatal cancers (advanced 1.14, 1.01-1.28, trend test p value 0.01; fatal 1.14, 1.00-1.30, trend test p value 0.01). When associations were analyzed separately by geographical region (North America vs. other continents), positive associations between unprocessed red meat and egg intake, and inverse associations between poultry intake and advanced, advanced(r) and fatal cancers were limited to North American studies. However, differences were only statistically significant for eggs. Observed differences in associations by geographical region warrant further investigation.

Indexed as

DietEggsMeatSeafoodCohort StudiesHumansIncidenceMaleOdds RatioProspective StudiesProstatic NeoplasmsRiskdieteggpoultryprocessed meatprostate cancerseafoodunprocessed red meat

Identifiers

PMID26685908
PMCPMC4837898
OpenAlexW2196956300

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.