Evidence mapPaperPMID 34583965Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2021

Dietary Advanced Glycation End-Products and Mortality after Breast Cancer in the Women's Health Initiative.

Omonefe O Omofuma, Lindsay L Peterson, David P Turner, Anwar T Merchant, Jiajia Zhang, Cynthia A Thomson, Marian L Neuhouser, Linda G Snetselaar, Bette J Caan, Aladdin H Shadyab and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

14 authors at 11 institutions in 2 countries.

Omonefe O OmofumaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.ORCID 0000-0002-5739-8131
Lindsay L PetersonWashington University School of Medicine in St. Louis, St. Louis, Missouri.ORCID 0000-0002-5012-7347
David P TurnerMedical University of South Carolina, Charleston, South Carolina.
Anwar T MerchantDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.ORCID 0000-0003-1045-5079
Jiajia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.
Cynthia A ThomsonMel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona.ORCID 0000-0003-3645-7048
Marian L NeuhouserFred Hutchinson Cancer Research Center, Seattle, Washington.
Linda G SnetselaarSchool of Public Health, University of Iowa, Iowa City, Iowa.
Bette J CaanKaiser Permanente, University of California Berkeley, Oakland, California.
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California.
Nazmus SaquibCollege of Medicine, Sulaiman AlRajhi University, Saudi Arabia.ORCID 0000-0002-2819-2839
Hailey R BanackSchool of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, New York.
Jaime UribarriDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York.
Susan E SteckDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina. stecks@mailbox.sc.edu.ORCID 0000-0002-3201-9537
University of South Carolina · USFred Hutch Cancer Center · USHuman Longevity (United States) · USIcahn School of Medicine at Mount Sinai · USKaiser Permanente · USMedical University of South Carolina · USSulaiman Al Rajhi Colleges · SAUniversity at Buffalo, State University of New York · USUniversity of Arizona · USUniversity of Iowa · USWashington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · WASHINGTON UNIVERSITY · 1999 to 2025
$5.7M
Lifestyle associated reactive metabolites and their negative impact on breast cancer riskR01CA245143 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Victoria Jane Findlay, David Paul Turner · 2023 to 2023
$398k
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · YALE UNIVERSITY · 2025 to 2025
$296k
NCI NIH HHS L30 CA220736NCI NIH HHS R01 CA245143NCI NIH HHS R25 CA203650NCI NIH HHS U54 CA210962NCI NIH HHS U54 CA210963NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIDDK NIH HHS P30 DK056341WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundAdvanced glycation end-products (AGE) are formed through nonenzymatic glycation of free amino groups in proteins or lipid. They are associated with inflammation and oxidative stress, and their accumulation in the body is implicated in chronic disease morbidity and mortality. We examined the association between postdiagnosis dietary N

methodsPostmenopausal women aged 50 to 79 years were enrolled in the Women's Health Initiative (WHI) between 1993 and 1998 and followed up until death or censoring through March 2018. We included 2,023 women diagnosed with first primary invasive breast cancer during follow-up who completed a food frequency questionnaire (FFQ) after diagnosis. Cox proportional hazards (PH) regression models estimated adjusted hazard ratios (HR) and 95% confidence intervals (CI) of association between tertiles of postdiagnosis CML-AGE intake and mortality risk from all causes, breast cancer, and cardiovascular disease.

resultsAfter a median 15.1 years of follow-up, 630 deaths from all causes were reported (193 were breast cancer-related, and 129 were cardiovascular disease-related). Postdiagnosis CML-AGE intake was associated with all-cause (HR

conclusionsHigher intake of AGEs was associated with higher risk of major causes of mortality among postmenopausal women diagnosed with breast cancer. IMPACT: Our findings suggest that dietary AGEs may contribute to the risk of mortality after breast cancer diagnosis. Further prospective studies examining dietary AGEs in breast cancer outcomes and intervention studies targeting dietary AGE reduction are needed to confirm our findings.

Indexed as

AgedBreast NeoplasmsDietFemaleGlycation End Products, AdvancedHumansMiddle AgedPostmenopauseProportional Hazards ModelsRisk AssessmentWomen's HealthGlycation End Products, Advanced

Identifiers

PMID34583965
PMCPMC8643311
OpenAlexW3202421145

What Socratic holds

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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 Socratic graph.