Evidence map›Paper›PMID 31360907›Full record

ArticleJNCI cancer spectrum2019

Preventable Cancer Burden Associated With Poor Diet in the United States.

Fang Fang Zhang, Frederick Cudhea, Zhilei Shan, Dominique S Michaud, Fumiaki Imamura, Heesun Eom, Mengyuan Ruan, Colin D Rehm, Junxiu Liu, Mengxi Du and 4 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 4 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

93 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  16. Cancers attributable to diet in Italy.International journal of cancer · 2025
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33 more citing papers are in PubMed but not listed here.

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

14 authors.

Fang Fang ZhangFriedman School of Nutrition Science and Policy.ORCID 0000-0002-3130-0087
Frederick CudheaFriedman School of Nutrition Science and Policy.
Zhilei ShanFriedman School of Nutrition Science and Policy.
Dominique S MichaudSchool of Medicine, Tufts University, Boston, MA.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6841-8396
Heesun EomFriedman School of Nutrition Science and Policy.
Mengyuan RuanSchool of Medicine, Tufts University, Boston, MA.
Colin D RehmDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Junxiu LiuFriedman School of Nutrition Science and Policy.ORCID 0000-0003-3303-0217
Mengxi DuFriedman School of Nutrition Science and Policy.ORCID 0000-0002-6406-7250
David KimInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.ORCID 0000-0002-3383-8972
Lauren LizewskiFriedman School of Nutrition Science and Policy.
Parke WildeFriedman School of Nutrition Science and Policy.
Dariush MozaffarianFriedman School of Nutrition Science and Policy.ORCID 0000-0001-7958-9492

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
Comparative and Cost-Effectiveness of Population Strategies to Improve Diet and Reduce CancerR01MD011501 · NIMHD · TUFTS UNIVERSITY BOSTON · PI ZHANG, FANG FANG · 2016 to 2019
$2.0M
Medical Research Council MC_UU_12015/5NHLBI NIH HHS R01 HL115189NIMHD NIH HHS R01 MD011501
6 · The paper itself

Abstract

backgroundDiet is an important risk factor for cancer that is amenable to intervention. Estimating the cancer burden associated with diet informs evidence-based priorities for nutrition policies to reduce cancer burden in the United States.

methodsUsing a comparative risk assessment model that incorporated nationally representative data on dietary intake, national cancer incidence, and estimated associations of diet with cancer risk from meta-analyses of prospective cohort studies, we estimated the annual number and proportion of new cancer cases attributable to suboptimal intakes of seven dietary factors among US adults ages 20 years or older, and by population subgroups.

resultsAn estimated 80 110 (95% uncertainty interval [UI] = 76 316 to 83 657) new cancer cases were attributable to suboptimal diet, accounting for 5.2% (95% UI = 5.0% to 5.5%) of all new cancer cases in 2015. Of these, 67 488 (95% UI = 63 583 to 70 978) and 4.4% (95% UI = 4.2% to 4.6%) were attributable to direct associations and 12 589 (95% UI = 12 156 to 13 038) and 0.82% (95% UI = 0.79% to 0.85%) to obesity-mediated associations. By cancer type, colorectal cancer had the highest number and proportion of diet-related cases (n = 52 225, 38.3%). By diet, low consumption of whole grains (n = 27 763, 1.8%) and dairy products (n = 17 692, 1.2%) and high intake of processed meats (n = 14 524, 1.0%) contributed to the highest burden. Men, middle-aged (45-64 years) and racial/ethnic minorities (non-Hispanic blacks, Hispanics, and others) had the highest proportion of diet-associated cancer burden than other age, sex, and race/ethnicity groups.

conclusionsMore than 80 000 new cancer cases are estimated to be associated with suboptimal diet among US adults in 2015, with middle-aged men and racial/ethnic minorities experiencing the largest proportion of diet-associated cancer burden in the United States.

Identifiers

PMID31360907
PMCPMC6649723

What OpenQuestion holds

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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.