Evidence map›Paper›PMID 38572081›Full record

ArticleEClinicalMedicine2024

Ultra-processed food consumption and mortality among patients with stages I-III colorectal cancer: a prospective cohort study.

Dong Hang, Mengxi Du, Lu Wang, Kai Wang, Zhe Fang, Neha Khandpur, Sinara Laurini Rossato, Eurídice Martínez Steele, Andrew T Chan, Frank B Hu and 7 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

17 authors at 6 institutions in 5 countries.

Dong HangDepartment of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Mengxi DuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lu WangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Kai WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Zhe FangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Neha KhandpurDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sinara Laurini RossatoDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eurídice Martínez SteeleDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
Andrew T ChanDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Shuji OginoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
John B WongDivision of Clinical Decision Making, Tufts Medical Center, Boston, MA, USA.
Fang Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard University · USTufts University · USBrigham and Women's Hospital · USBroad Institute · USTufts Medical Center · USUniversidade de São Paulo · BR

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 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
Coffee and metabolites modulating the gut microbiome for improved colorectal cancer survivalR01CA263776 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Mingyang Song · 2022 to 2026
$3.3M
The Gut Microbiome, Lifestyle, and Colorectal NeoplasiaU01CA261961 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Mingyang Song · 2022 to 2026
$3.0M
Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisK99CA283146 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, KAI · 2023 to 2024
$244k
Integrated Epidemiologic Study of Ultra-processed Foods and Colorectal Cancer SurvivalK00CA274714 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI DU, MENGXI · 2023 to 2024
$195k
Integrated Epidemiologic Study of Ultra-processed Foods and Colorectal Cancer SurvivalF99CA274714 · NCI · TUFTS UNIVERSITY BOSTON · PI DU, MENGXI · 2022 to 2022
$36k
NCI NIH HHS F99 CA274714NCI NIH HHS K00 CA274714NCI NIH HHS K99 CA283146NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA263776NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS U01 CA261961NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Background: Ultra-processed foods (UPFs) are emerging as a risk factor for colorectal cancer (CRC), yet how post-diagnostic UPF intake may impact CRC prognosis remains unexplored. Methods: Data collected from food frequency questionnaires were used to estimate intakes of total UPFs and UPF subgroups (serving/d) at least 6 months but less than 4 years post-diagnosis among 2498 patients diagnosed with stages I-III CRC within the Nurses' Health Study and Health Professionals Follow-up Study during 1980-2016. Hazard ratios (HR) and 95% confidence intervals (CIs) of all-cause, CRC- and cardiovascular disease (CVD)-specific mortality in association with UPF consumption were estimated using an inverse probability weighted multivariable Cox proportional hazards regression model, adjusted for confounders. Findings: The mean (SD) age of patients at diagnosis was 68.5 (9.4) years. A total of 1661 deaths were documented, including 321 from CRC and 335 from CVD. Compared to those in the lowest quintile (median = 3.6 servings/d), patients in the highest quintile (median = 10 servings/d) of post-diagnostic UPF intake had higher CVD mortality (HR = 1.65, 95% CI = 1.13-2.40) but not CRC or all-cause mortality. Among UPF subgroups, higher consumption of fats/condiments/sauces was associated with a higher risk of CVD-specific mortality (highest vs. lowest quintile of intake, HR = 1.96, 95% CI = 1.41-2.73), and higher intake of ice cream/sherbet was associated with an increased risk of CRC-specific mortality (highest vs. lowest quintile, HR = 1.86, 95% CI: 1.33-2.61). No statistically significant association was found between UPF subgroups and overall mortality. Interpretation: Higher post-diagnostic intake of total UPFs and fats/condiments/sauces in CRC survivors is associated with higher CVD mortality, and higher ice cream/sherbet intake is linked to higher CRC mortality. Funding: US National Institutes of Health and the American Cancer Society.

Indexed as

Colorectal cancer survivorshipLongitudinal analysisPatient carePost-diagnostic dietary intake

Identifiers

PMID38572081
PMCPMC10990709
OpenAlexW4393294661

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.