Evidence map›Paper›PMID 29158191›Full record

ArticleGastroenterology2018

Association Between Coffee Intake After Diagnosis of Colorectal Cancer and Reduced Mortality.

Yang Hu, Ming Ding, Chen Yuan, Kana Wu, Stephanie A Smith-Warner, Frank B Hu, Andrew T Chan, Jeffrey A Meyerhardt, Shuji Ogino, Charles S Fuchs and 2 more

Abstract read
In one paragraph

Article in Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Nutritional Treatment of Patients with Colorectal Cancer.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yang HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Ming DingDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Chen YuanDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Kana WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Stephanie A Smith-WarnerDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Andrew T ChanChanning Division of Network Medicine, Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Shuji OginoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts; Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Charles S FuchsYale Cancer Center, New Haven, Connecticut; Department of Medicine, Yale School of Medicine, New Haven, Connecticut; Smilow Cancer Hospital, New Haven, Connecticut.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. Electronic address: msong2@mgh.harvard.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GIOVANNUCCI, EDWARD · 1991 to 2009
$41.8M
Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI BASS, ADAM JOEL · 2007 to 2023
$33.2M
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
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA118553NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA169141NCI NIH HHS R01 CA202704NCI NIH HHS R35 CA197735NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107NIDDK NIH HHS K24 DK098311NIDDK NIH HHS P30 DK043351
6 · The paper itself

Abstract

BACKGROUND &

aimsFew studies have examined the association between coffee intake and survival after diagnosis of colorectal cancer (CRC). We performed a prospective study to investigate the association between coffee intake after a diagnosis of CRC and mortality.

methodsWe collected data from the Nurses' Health Study (1984-2012) and Health Professionals Follow-up Study (1986-2012), following 1599 patients diagnosed with stage 1, 2, or 3 CRC. CRC was reported on questionnaires and ascertained by review of medical records and pathology reports; intake of food and beverages was determined from responses to semi-quantitative food frequency questionnaires. Participants were asked how often during the previous year that they consumed coffee, with 1 cup as the standard portion size. The first questionnaire response collected at least 6 months but not more than 4 years after diagnosis was used for assessment of post-diagnostic intake (median time from diagnosis to the dietary assessment, 2.2 years). The last semi-quantitative food frequency questionnaire prior to diagnosis was used to assess pre-diagnostic dietary intake.

resultsDuring a median of 7.8 years of follow-up, we documented 803 deaths, of which 188 were because of CRC. In the multivariable adjusted models, compared with nondrinkers, patients who consumed at least 4 cups of coffee per day had a 52% lower risk of CRC-specific death (hazard ratio [HR] 0.48; 95% CI, 0.28-0.83; P for trend=.003) and 30% reduced risk of all-cause death (HR, 0.70; 95% CI, 0.54-0.91; P for trend <.001). High intake of caffeinated and decaffeinated coffee (2 or more cups/day) was associated with lower risk of CRC-specific mortality and all-cause mortality. When coffee intake before vs after CRC diagnosis were examined, compared with patients consistently consuming low amounts (less than 2 cups/day), those who maintained a high intake (2 or more cups/day) had a significantly lower risk of CRC-specific death (multivariable HR, 0.63; 95% CI, 0.44-0.89) and death from any cause (multivariable HR, 0.71; 95% CI, 0.60-0.85).

conclusionsIn an analysis data from the Nurses' Health Study and Health Professionals Follow-up Study, we associated intake of caffeinated and decaffeinated coffee after diagnosis of CRC with lower risk of CRC-specific death and overall death. Studies are needed to determine the mechanisms by which coffee might reduce CRC progression.

Indexed as

CoffeeAdultAgedCaffeineCentral Nervous System StimulantsColorectal NeoplasmsFemaleHumansLinear ModelsMaleMiddle AgedMultivariate AnalysisNeoplasm GradingNeoplasm StagingNursesPrognosisCaffeineCentral Nervous System StimulantsCoffeeColon CancerDietPost-diagnostic Coffee IntakeRectal Cancer

Identifiers

PMID29158191
PMCPMC5847429

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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.