Evidence map›Paper›PMID 36482189›Full record

ArticleBritish journal of cancer2023

Association between dietary inflammatory potential and mortality after cancer diagnosis in the Women's Health Initiative.

Jiali Zheng, Fred K Tabung, Jiajia Zhang, Bette Caan, James R Hebert, Candyce H Kroenke, Judith Ockene, Nitin Shivappa, Susan E Steck

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 8 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

9 authors at 4 institutions in 2 countries.

Jiali ZhengDepartment of Epidemiology and Biostatistics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-1434-2856
Fred K TabungDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, USA.
Jiajia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Bette CaanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
James R HebertDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Candyce H KroenkeDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Judith OckeneDivision of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Nitin ShivappaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Susan E SteckDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. stecks@mailbox.sc.edu.ORCID http://orcid.org/0000-0002-3201-9537
University of South Carolina · USKaiser Permanente · USThe Ohio State University · USUniversity of Massachusetts Chan Medical School · US

Funding

Social networks and disparities in health behaviors and breast cancer outcomes in immigrant womenR01CA230440 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KROENKE, CANDYCE H · 2019 to 2024
$3.2M
An Electronic Health Record-Based Tool to Identify Newly Diagnosed Breast Cancer Patients at Risk of Low Social SupportR01CA253028 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KROENKE, CANDYCE H · 2020 to 2025
$2.6M
Developing the Dietary Inflammatory Index for Clinical ApplicationR44DK103377 · NIDDK · CONNECTING HEALTH INNOVATIONS, LLC · PI SHIVAPPA, NITIN, WIRTH, MICHAEL DAVID · 2014 to 2016
$1.8M
Proinflammatory and hyperinsulinemic dietary patterns and colorectal cancer risk: role of the metabolomeK99CA207736 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TABUNG, FRED KINYUY · 2016 to 2017
$276k
NCI NIH HHS K99 CA207736NCI NIH HHS R01 CA230440NCI NIH HHS R01 CA253028NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIDDK NIH HHS R44 DK103377
6 · The paper itself

Abstract

backgroundChronic inflammation is implicated in cancer prognosis and can be modulated by diet. We examined associations between post-diagnosis dietary inflammatory potential and mortality outcomes among post-menopausal women diagnosed with cancer in the Women's Health Initiative (WHI).

methodsEnergy-adjusted dietary inflammatory index scores (E-DII) were calculated from dietary and supplemental intake data collected on the first food frequency questionnaire following the diagnosis of primary invasive cancer for 3434 women in the WHI. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for risk of death from any cause, cancer, cardiovascular disease (CVD) and other causes by post-diagnosis quartiles of E-DII. Subgroup analyses by cancer stage and grade were performed.

resultsThere were 1156 deaths after a median 13 years of follow-up from the date of a cancer diagnosis. In the multivariable-adjusted analyses, a more anti-inflammatory diet plus supplements after cancer diagnosis was associated with lower all-cause mortality, cancer mortality, CVD mortality and mortality from other causes with HRs

conclusionA more anti-inflammatory diet plus supplements after a cancer diagnosis may improve survival for post-menopausal cancer survivors.

Indexed as

Cardiovascular DiseasesNeoplasmsDietFemaleHumansInflammationProportional Hazards ModelsRisk FactorsWomen's Health

Identifiers

PMID36482189
PMCPMC9938285
OpenAlexW4310940704

What OpenQuestion holds

Textmetadata
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.