Evidence map›Paper›PMID 25506700›Full record

ArticlePloS one2014

Post diagnosis diet quality and colorectal cancer survival in women.

Teresa T Fung, Rutendo Kashambwa, Kaori Sato, Stephanie E Chiuve, Charles S Fuchs, Kana Wu, Edward Giovannucci, Shuji Ogino, Frank B Hu, Jeffrey A Meyerhardt

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 15 pooled it
–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

58 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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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

10 authors.

Teresa T FungDepartment of Nutrition, Simmons College, Boston, Massachusetts, United States of America; Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Rutendo KashambwaDepartment of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Kaori SatoDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America.
Stephanie E ChiuveDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Charles S FuchsDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America.
Kana WuDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Edward GiovannucciDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Shuji OginoChanning Division of Network Medicine, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America.
Frank B HuDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
Dietary And Lifestyle Determinants Of Colon Cancer Recurrence and SurvivalR01CA118553 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2007 to 2019
$4.4M
Impact of Celecoxib and Inflammation on Survival in Stage III Colon CancerR01CA169141 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2013 to 2018
$3.9M
Dietary Patterns, Diet Quality + Cancer RiskR01CA095589 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B · 2003 to 2012
$2.7M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
The Influence of Diet and Lifestyle on Patients with Advanced Colorectal CancerR01CA149222 · NCI · DANA-FARBER CANCER INST · PI MEYERHARDT, JEFFREY A · 2010 to 2014
$2.4M
NCI NIH HHS CA 118553NCI NIH HHS CA127003NCI NIH HHS CA149222NCI NIH HHS CA151993NCI NIH HHS CA169141NCI NIH HHS CA87969NCI NIH HHS CA95589NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA095589NCI NIH HHS R01 CA118553NCI NIH HHS R01 CA149222NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA169141NCI NIH HHS U54 CA155626NCI NIH HHS U54CA155626NCI NIH HHS UM1 CA167552NCI NIH HHS UM1CA167552
6 · The paper itself

Abstract

backgroundDietary factors are known to influence colorectal cancer (CRC) risk, however, their association with CRC survival is unclear. Therefore, we prospectively examined the association between diet quality scores, dietary patterns and colorectal cancer (CRC) survival.

methods1201 women diagnosed with stage I-III CRC between 1986 and 2008, were followed through 2010. Diet was assessed via a food frequency questionnaire administered at least 6 months after diagnosis. We computed the Alternate Healthy Eating Index-2010 (AHEI-2010), alternate Mediterranean Diet score (aMED) and Dietary Approaches to Stop Hypertension score (DASH) and derived two dietary patterns, Western (unhealthy) and prudent (healthy), by principal component analysis for each woman.

resultsDuring follow-up, we documented 435 deaths, including 162 from CRC. After adjusting for potential confounders, only a higher AHEI-2010 score was significantly associated with lower overall mortality (HR comparing extreme quintiles = 0.71, 95% CI 0.52-0.98, p trend = 0.01) as well as borderline significantly with lower risk of CRC mortality by the trend test (HR Q5 vs Q1 = 0.72, 95% CI = 0.43-1.21, p trend = 0.07). When AHEI-2010 components were examined separately, inverse associations for overall mortality were primarily accounted for by moderate alcohol intake (HR comparing abstainers vs 5-15 g/d = 1.30, 95%CI = 1.05-1.61) and lower intake of sugar sweetened beverages and fruit juices combined (HR for each additional serving = 1.11, 95% CI = 1.01-1.23). No other diet quality score or dietary pattern was associated with overall or CRC-specific mortality.

conclusionHigher AHEI-2010 score may be associated with lower overall mortality, moderate alcohol consumption and lower consumption of sugar sweetened beverages and juices combined appeared to account for most of the observed associations.

Indexed as

Feeding BehaviorAdultAgedBeveragesColorectal NeoplasmsDiet, MediterraneanFemaleFruit and Vegetable JuicesHumansMiddle AgedProspective StudiesSurvival Rate

Identifiers

PMID25506700
PMCPMC4266679

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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.