Evidence map›Paper›PMID 31599394›Full record

ArticleBreast cancer research and treatment2020

Distinct trajectories of fruits and vegetables, dietary fat, and alcohol intake following a breast cancer diagnosis: the Pathways Study.

Zaixing Shi, Andrew Rundle, Jeanine M Genkinger, Ying Kuen Cheung, Isaac J Ergas, Janise M Roh, Lawrence H Kushi, Marilyn L Kwan, Heather Greenlee

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  7. Associations of Cruciferous Vegetable Intake with Breast Cancer Survival in a Diverse Population in the Pathways Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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.

Zaixing ShiFred Hutchinson Cancer Research Center, Seattle, WA, USA. zshi@fredhutch.org.ORCID http://orcid.org/0000-0001-5518-0684
Andrew RundleColumbia University Mailman School of Public Health, New York, NY, USA.
Jeanine M GenkingerColumbia University Mailman School of Public Health, New York, NY, USA.
Ying Kuen CheungColumbia University Mailman School of Public Health, New York, NY, USA.
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Heather GreenleeFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kaiser Permanente · USHerbert Irving Comprehensive Cancer CenterCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZASeattle Cancer Care Alliance · US

Funding

Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
China Scholarship Council 201208000008NCI NIH HHS R01 CA105274NCI NIH HHS R01CA105274NCI NIH HHS U01 CA195565NCI NIH HHS U01CA195565
6 · The paper itself

Abstract

purposeTo identify distinct diet trajectories after breast cancer (BC) diagnosis, and to examine the characteristics associated with diet trajectories.

methodsWe analyzed 2865 Pathways Study participants who completed ≥ 2 food frequency questionnaires at the time of BC diagnosis (baseline), and at 6 and 24 months after baseline. Trajectory groups of fruit and vegetable (F/V) intake, % calories from dietary fat, and alcohol intake over 24 months were identified using group-based trajectory modeling. Associations between diet trajectories and sociodemographic, psychosocial, and clinical factors were analyzed using multinomial logistic regression.

resultsAnalyses identified 3 F/V trajectory groups, 4 dietary fat groups, and 3 alcohol groups. All 3 F/V trajectory groups reported slightly increased F/V intake post-diagnosis (mean increase = 0.2-0.5 serving/day), while 2 groups (48% of participants) persistently consumed < 4 servings/day of F/V. Dietary fat intake did not change post-diagnosis, with 45% of survivors maintaining a high-fat diet (> 40% of calories from fat). While most survivors consumed < 1 drink/day of alcohol at all times, 21% of survivors had 1.4-3.0 drinks/day at baseline and temporarily decreased to 0.1-0.5 drinks/day at 6 months. In multivariable analysis, diet trajectory groups were significantly associated with education (ORs: 1.93-2.49), income (ORs: 1.32-2.57), optimism (ORs: 1.93-2.49), social support (OR = 1.82), and changes in physical well-being (ORs: 0.58-0.61) and neuropathy symptoms after diagnosis (ORs: 1.29-1.66).

conclusionsPathways Study participants reported slightly increasing F/V and decreasing alcohol intake after BC diagnosis. Nearly half of survivors consumed insufficient F/V and excessive dietary fat. It is important to prioritize nutrition counseling and education in BC survivors.

Indexed as

AdultAgedAged, 80 and overAlcohol DrinkingBreast NeoplasmsDietary FatsDietary FiberFemaleFruitHealth BehaviorHumansMiddle AgedVegetablesDietary FatsDietary FiberBreast cancerCancer survivorsDietGroup-based trajectory modelingTrajectory analysis

Identifiers

PMID31599394
PMCPMC7199498
OpenAlexW2979568362

What OpenQuestion holds

Textmetadata
LicenceTDM
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.