Evidence map›Paper›PMID 31235471›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Adherence to the World Cancer Research Fund/American Institute for Cancer Research 2018 Recommendations for Cancer Prevention and Risk of Colorectal Cancer.

Joshua Petimar, Stephanie A Smith-Warner, Bernard Rosner, Andrew T Chan, Edward L Giovannucci, Fred K Tabung

Abstract readHistorical Article
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  11. Potential reduction of global colorectal cancer, 1990-2021.Journal of the National Cancer Center · 2025
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  16. Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  17. Abbreviated Score to Assess Adherence to the 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer in the UK Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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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

6 authors.

Joshua PetimarDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. jsp778@mail.harvard.edu.ORCID 0000-0002-3025-5931
Stephanie A Smith-WarnerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Bernard RosnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Andrew T ChanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Fred K TabungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0001-8193-7150

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SMITH-WARNER, STEPHANIE A · 1991 to 2009
$41.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Mentored Patient-Oriented Research in Digestive DiseasesK24DK098311 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2013 to 2017
$930k
Proinflammatory and hyperinsulinemic dietary patterns and colorectal cancer risk: role of the metabolomeK99CA207736 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TABUNG, FRED KINYUY · 2016 to 2017
$276k
NCI NIH HHS K99 CA207736NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NHLBI NIH HHS T32 HL098048NIDDK NIH HHS K24 DK098311
6 · The paper itself

Abstract

backgroundThe World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) 2018 diet, nutrition, and physical activity recommendations aim to reduce cancer risk. We examined adherence to the WCRF/AICR recommendations and colorectal cancer risk in two prospective cohorts.

methodsWe followed 68,977 women in the Nurses' Health Study and 45,442 men in the Health Professionals Follow-up Study from 1986 until 2012. We created cumulatively averaged WCRF/AICR scores using updated diet, adiposity, and physical activity data from questionnaires, and used Cox regression to estimate sex-specific HRs and 95% confidence intervals (CI) for incident colorectal cancer.

resultsWe documented 2,449 colorectal cancer cases. Men in the highest quintile of the WCRF/AICR lifestyle score had a lower risk of colorectal cancer compared with those in the lowest quintile (HR

conclusionsThe 2018 WCRF/AICR cancer prevention recommendations are associated with lower colorectal cancer risk in men, with weaker results in women. IMPACT: Consideration of adiposity and physical activity in conjunction with diet is important for colorectal cancer prevention.

Indexed as

AdultAgedColorectal NeoplasmsFemaleFinancial ManagementHistory, 21st CenturyHumansMaleMiddle AgedResearch DesignRisk Factors

Identifiers

PMID31235471
PMCPMC6726499

What OpenQuestion holds

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Registered trials

None linked

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.