Evidence map›Paper›PMID 41372318›Full record

ArticleScientific reports2025

Ultra-processed food consumption and the risk of breast cancer incidence and death: a prospective cohort study.

Bin Chen, Hao Liu, Ruyi Wang, Jinjun Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

4 authors.

Bin ChenDepartment of General Surgery, Affiliated Haimen Hospital of Xinglin College, Nantong University, Nantong, 226100, China.
Hao LiuDepartment of Pharmacy, Guangdong Food and Drug Vocational College, Guangzhou, 510520, Guangdong, China.
Ruyi WangDepartment of Pharmacy, Guangdong Food and Drug Vocational College, Guangzhou, 510520, Guangdong, China.
Jinjun LuDepartment of General Surgery, Affiliated Haimen Hospital of Xinglin College, Nantong University, Nantong, 226100, China. jinjunlu0807@163.com.

Funding

Medical Scientific Research Foundation of Guangdong Province A2024054Project of Nantong Municipal Health Commission MSZ2022114
6 · The paper itself

Abstract

The consumption of ultra-processed foods (UPF) continues to rise globally, and UPF consumption is associated with elevated risk of mortality due to cancers and cardiovascular events. However, whether UPF consumption is associated with breast cancer and its mortality remains controversial. In this study, we aimed to examine the association of UPF consumption with breast cancer incidence and breast cancer mortality based on a large US population-based cohort. Herein, 2245 breast cancer cases and 270 breast cancer deaths were identified during 445,998 person-years of follow-up. Cox regression and competing risk regression were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by UPF consumption for risk of breast cancer incidence and mortality. After adjustment for confounders, UPF consumption was associated with an increased risk of breast cancer incidence (Quintile(Q)2 vs. Q1, HR for Q2 vs. Q1: 1.16; 95% CI, 1.01-1.34, P = 0.04) and showed a trend toward increased mortality (Tertile(T)3 vs. T1, HR: 1.33, 95% CI, 0.99-1.80, P = 0.06). Subgroup analyses revealed stronger associations between UPF intake and the breast cancer risk in older participants (> 65 years, Q5 vs. Q1, HR: 1.41, 95% CI, 1.12-1.78), alcohol drinkers (Q2 vs. Q1, HR: 1.18, 95% CI, 1.02, 1.37), and those with a family history of breast cancer (Q3 vs. Q1, HR: 1.45, 95% CI, 1.00, 1.95). These findings suggest that higher UPF consumption may slightly increase breast cancer risk and mortality, particularly among women with breast cancer-related lifestyle factors and family history. These findings highlight the need for large cohorts to validate subgroup-specific associations and inform personalized cancer prevention.

Indexed as

Breast NeoplasmsFast FoodsAdultAgedFemaleFood, ProcessedHumansIncidenceMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsBreast cancerUltra-processed food consumption

Identifiers

PMID41372318
PMCPMC12770533

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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.