Evidence map›Paper›PMID 36477589›Full record

ArticleJournal of the National Cancer Institute2023

Ultra-processed food consumption and risk of colorectal cancer precursors: results from 3 prospective cohorts.

Dong Hang, Lu Wang, Zhe Fang, Mengxi Du, Kai Wang, Xiaosheng He, Neha Khandpur, Sinara L Rossato, Kana Wu, Zhibin Hu and 6 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Dong HangDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China.
Lu WangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Zhe FangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-0864-3644
Mengxi DuFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.ORCID 0000-0002-6406-7250
Kai WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5614-5618
Xiaosheng HeDepartment of Colorectal Surgery, the Six Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Neha KhandpurDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sinara L RossatoDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
Kana WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Zhibin HuDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China.
Hongbing ShenDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China.
Shuji OginoBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Andrew T ChanBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Fang Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.ORCID 0000-0002-3130-0087
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-1324-0316

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
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
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Marine Omega-3 Polyunsaturated Fatty Acid, Gut Microbiome, and Colorectal Cancer PreventionR00CA215314 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI SONG, MINGYANG · 2018 to 2020
$679k
Integrating diet, lifestyle and tumor tissue molecular subtyping to study the role of adolescent calcium intake on the risk of early onset colorectal neoplasiaR21CA230873 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI OGINO, SHUJI, WU, KANA · 2018 to 2019
$427k
Integrating diet and tissue whole exome sequencing data to study processed meat and colorectal cancerR21CA222940 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI GIANNAKIS, MARIOS, WU, KANA · 2018 to 2019
$421k
Early life risk factors and risk of colorectal neoplasiaR03CA197879 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WU, KANA · 2015 to 2016
$162k
NCI NIH HHS P01 CA087969NCI NIH HHS R00 CA215314NCI NIH HHS R03 CA197879NCI NIH HHS R21 CA222940NCI NIH HHS R21 CA230873NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundGrowing evidence indicates the adverse effect of ultra-processed food (UPF) consumption. However, it remains unknown whether UPF consumption influences the risk of colorectal cancer (CRC) precursors, namely conventional adenomas and serrated lesions.

methodsWe drew data from the Nurses' Health Study, Nurses' Health Study II, and Health Professionals Follow-up Study, comprising 142 052 participants who had undergone at least 1 lower gastrointestinal endoscopy during follow-up. To handle multiple records per participants, we used multivariable logistic regression for clustered data to calculate odds ratios (OR) and 95% confidence intervals (CIs) of colorectal polyps in relation to cumulative average consumption of UPFs. All statistical tests were 2-sided.

resultsWe documented 11 644 patients with conventional adenomas and 10 478 with serrated lesions during 18-20 years of follow-up. Compared with participants in the lowest quintile of UPF consumption, those in the highest quintile had an increased risk of conventional adenomas (OR = 1.18, 95% CI = 1.11 to 1.26) and serrated lesions (OR = 1.20, 95% CI = 1.13 to 1.28). Similar results were found for high-risk polyps (ie, advanced adenomas and ≥10 mm serrated lesions; OR = 1.17, 95% CI = 1.07 to 1.28). These associations were slightly attenuated but remained statistically significant after further adjusting for body mass index, Western dietary pattern score, or individual dietary factors (fiber, folate, calcium, and vitamin D). The results remained essentially unchanged after excluding processed meat from total UPF intake.

conclusionsHigher consumption of UPFs is associated with an increased risk of CRC precursors. UPFs might be a modifiable target for early prevention of CRC.

Indexed as

AdenomaColorectal NeoplasmsFollow-Up StudiesFood, ProcessedHumansProspective StudiesRisk Factors

Identifiers

PMID36477589
PMCPMC9905956

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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.