Meta-analysis2018

Consumption of red and processed meat and breast cancer incidence: A systematic review and meta-analysis of prospective studies

Farvid MS, Stern MC, Norat T, Sasazuki S, Vineis P, Weijenberg MP, Wolk A, Wu K, Stewart BW, Cho E

International journal of cancer · 94 citations

How it was studied

Design
Meta-analysis (indexed by PubMed)
Studied in
People
Main outcome
Clinical events such as disease or death
Intake measured by
Not stated

Who paid for it

Funding
Independent funding
Government
National Cancer Institute
Government
NCI NIH HHS
Grants
National Cancer Institute (P30 CA014089)

Based on 2 listed funder(s).

Publication

Published
2018-09-05 · Int J Cancer · vol. 143 · issue 11 · pp. 2787–2799
Publisher
Wiley
Cited
140 citations · more than 91% of similar papers · 2.7× the field average
Impact
Top 10% most cited in its field
References
45 works
Access
Free to read
Research areas
Nutritional Studies and Diet · Nutrition, Genetics, and Disease · Phytoestrogen effects and research
Keywords
Medicine, Breast cancer, Prospective cohort study, Odds ratio, Red meat, Relative risk, Incidence (geometry), Meta-analysis, Cohort study, Confidence interval, Internal medicine, Cancer, Pathology
MeSH
humans, breast neoplasms, incidence, risk factors, epidemiologic studies, case-control studies, prospective studies, meat products, databases, factual, adult, aged, middle aged, female, young adult, observational studies as topic, red meat

10 authors

From US, GB, IT, NL, SE, AU

  • Maryam Sadat Farvid · correspondingHarvard University
  • Mariana Carla SternUniversity of Southern California; USC Norris Comprehensive Cancer Center
  • Teresa NoratImperial College London
  • Shizuka SasazukiPrevention Group
  • Paolo VineisPublic Health England; Italian institute for Genomic Medicine; Imperial College London
  • Matty P. WeijenbergMaastricht University; Maastro Clinic

Abstract

Prior studies on red and processed meat consumption with breast cancer risk have generated inconsistent results. We performed a systematic review and meta-analysis of prospective studies to summarize the evidence regarding the relation of red meat and processed meat consumption with breast cancer incidence. We searched in MEDLINE and EMBASE databases through January 2018 for prospective studies that reported the association between red meat and processed meat consumption with incident breast cancer. The multivariable-adjusted relative risk (RR) was combined comparing the highest with the lowest category of red meat (unprocessed) and processed meat consumption using a random-effect meta-analysis. We identified 13 cohort, 3 nested case-control and two clinical trial studies. Comparing the highest to the lowest category, red meat (unprocessed) consumption was associated with a 6% higher breast cancer risk (pooled RR,1.06; 95% confidence intervals (95%CI):0.99-1.14; I2 = 56.3%), and processed meat consumption was associated with a 9% higher breast cancer risk (pooled RR, 1.09; 95%CI, 1.03-1.16; I2 = 44.4%). In addition, we identified two nested case-control studies evaluating the association between red meat and breast cancer stratified by N-acetyltransferase 2 acetylator genotype. We did not observe any association among those with either fast (per 25 g/day pooled odds ratio (OR), 1.18; 95%CI, 0.93-1.50) or slow N-acetyltransferase 2 acetylators (per 25 g/day pooled OR, 0.99; 95%CI, 0.91-1.08). In the prospective observational studies, high processed meat consumption was associated with increased breast cancer risk.

Abstract via Europe PMC. Copyright remains with the authors or publisher.

Community trust

Loading…

How much do you trust this study's findings?

0 · not at all10 · completely

Comments

Sign in to rate, comment on or flag this study.Sign in

Something wrong here?

Flag this study if its information, labels or funding look wrong. An editor reviews every flag.

Sign in to rate, comment on or flag this study.Sign in

Educational information about published research. Not medical advice, and not a recommendation to start or stop anything.