Evidence map›Paper›PMID 39277115›Full record

ArticleThe Journal of nutrition2024

Association between Inflammatory Dietary Pattern and Mammographic Features.

Shadi Azam, Sarah Asad, Saurabh D Chitnis, Katharine A Collier, Kevin H Kensler, Preeti Sudheendra, Ashley Pariser, Andrea Romanos-Nanclares, Heather Eliassen, Sagar Sardesai and 4 more

Abstract read
In one paragraph

Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Shadi AzamDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States. Electronic address: sha4015@med.cornel.edu.
Sarah AsadDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
Saurabh D ChitnisDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
Katharine A CollierDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
Kevin H KenslerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Preeti SudheendraDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
Ashley PariserDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
Andrea Romanos-NanclaresChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Heather EliassenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Sagar SardesaiDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States.
John HeineDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Fred K TabungDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States; Comprehensive Cancer Center, The Ohio State University College of Medicine, Columbus, OH, United States.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Daniel G StoverDivision of Medical Oncology, College of Medicine, The Ohio State University, Columbus, OH, United States; Department of Biomedical Informatics, Ohio State University, Columbus, OH, United States.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
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
Quantitative Imaging Clinical Validation Center at Moffitt Cancer CenterU01CA200464 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI JOHN J HEINE, Matthew B. Schabath · 2016 to 2026
$9.2M
Prediagnostic exposures, germline genetics, and triple negative breast cancer mutational and immune profilesU01CA260352 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI TAMIMI, RULLA M · 2023 to 2025
$1.3M
Blood metabolite profiles and risk of developing endometrial cancerR00CA218694 · NCI · UNIVERSITY OF UTAH · PI PLAYDON, MARY CHRISTINE · 2018 to 2020
$747k
A multi-omics approach to evaluate the role of chronic inflammation in breast cancer developmentK99CA286891 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROMANOS-NANCLARES, ANDREA · 2024 to 2025
$333k
NCI NIH HHS K99 CA286891NCI NIH HHS P01 CA087969NCI NIH HHS R00 CA218694NCI NIH HHS R01 CA050385NCI NIH HHS U01 CA176726NCI NIH HHS U01 CA200464NCI NIH HHS U01 CA260352NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundThe empirical dietary inflammation pattern score (EDIP), which measures the ability of the diet to regulate chronic inflammation, is associated with both higher adiposity and breast cancer (BC) risk. Mammographic density (MD) is an important risk factor for BC.

objectiveWe examined the associations between EDIP and mammographic features overall and stratified by menopausal status, and assessed the extent to which these associations are mediated by adiposity.

methodsWe included 4145 participants without BC in the Nurses' Health Study (NHS) and NHSII. Cumulative average EDIP was assessed by food frequency questionnaires every 4-6 y. We assessed MD parameters (percent MD, dense area, and nondense area) and V (measure of grayscale variation). MD parameters were square-root transformed. Multivariable-adjusted linear regression models were used to analyze the associations between EDIP score and MD parameters. Baron and Kenny's regression method was used to assess the extent to which the associations of EDIP and mammographic traits were mediated by BMI.

resultsIn multivariable-adjusted models, EDIP was significantly inversely associated with percent MD [top compared with bottom quartile, β = -0.57; 95% confidence interval (CI): -0.78, -0.36]. Additional adjustment for BMI attenuated the association (β = -0.15; 95% CI: -0.34, 0.03), with 68% (β = 0.68, 20; 95% CI: 0.54, 0.86) mediation via BMI. In addition, EDIP was positively associated with nondense area after adjusting for BMI and other covariates. No associations were observed for dense area and V measure. Results were similar when stratified by menopausal status.

conclusionsEDIP score was inversely associated with percent MD and positively associated with nondense area, and these associations were largely mediated by BMI.

Indexed as

Breast DensityDietInflammationMammographyAdiposityAdultBody Mass IndexBreast NeoplasmsFemaleHumansMiddle AgedRisk Factorsbreast densitydietary patternEDIP scoreempirical dietary inflammation patternmammographic densitymammographic featuresNurses’ Health Study

Identifiers

PMID39277115
PMCPMC11600110

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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.