Evidence map›Paper›PMID 42714649›Full record

ArticleCancer causes & control : CCC2026

Association of coffee intake with risk of all-cause and colorectal cancer-specific mortality among individuals with colorectal cancer in the Multiethnic Cohort Study.

Kathryn R K Benson, Irina Tolstykh, June M Chan, Sorbarikor Piawah, Lynne R Wilkens, Song-Yi Park, Stacey A Kenfield, Loïc Le Marchand, Christopher A Haiman, Iona Cheng and 1 more

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Kathryn R K BensonDepartment of Medicine, University of California, San Francisco, CA, USA.
Irina TolstykhDepartment of Epidemiology and Biostatistics, University of California, 550 16th St., San Francisco, CA, 94158, USA.
June M ChanDepartment of Epidemiology and Biostatistics, University of California, 550 16th St., San Francisco, CA, 94158, USA.
Sorbarikor PiawahDepartment of Medicine, University of California, San Francisco, CA, USA.
Lynne R WilkensPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i; Honolulu, Honolulu, Hawai'i, USA.
Song-Yi ParkPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i; Honolulu, Honolulu, Hawai'i, USA.
Stacey A KenfieldDepartment of Epidemiology and Biostatistics, University of California, 550 16th St., San Francisco, CA, 94158, USA.
Loïc Le MarchandPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i; Honolulu, Honolulu, Hawai'i, USA.
Christopher A HaimanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, 550 16th St., San Francisco, CA, 94158, USA.
Erin L Van BlariganDepartment of Epidemiology and Biostatistics, University of California, 550 16th St., San Francisco, CA, 94158, USA. erin.vanblarigan@ucsf.edu.ORCID https://orcid.org/0000-0001-5079-3385

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
American Institute for Cancer Research 957981NCI NIH HHS U01 CA164973NIH HHS U01CA164973
6 · The paper itself

Abstract

purposeCoffee may influence colorectal cancer (CRC) survival, but prior studies had limited generalizability.

methodsWe analyzed 1,098 participants from the Multiethnic Cohort study diagnosed with CRC between 1993-2008 who completed a food frequency questionnaire after diagnosis and were followed through 2019. Multivariable Cox proportional hazards regression models were used to examine coffee (total, caffeinated, decaffeinated) in relation to all-cause and CRC-specific mortality. Secondarily, we examined caffeine intake and explored associations by race and ethnicity.

resultsOverall, coffee intake was not associated with risk of mortality. However, decaffeinated coffee was associated with lower risk of all-cause mortality (HR ≥1 vs. 0 cups/day: 0.71; 95% CI [0.55 - 0.91]). Additionally, associations were observed between total and caffeinated coffee in relation to all-cause mortality among Native Hawaiian participants (HR per 1 cup/day: 0.62 [0.41 - 0.94] and 0.55 [0.31 - 0.97], respectively); and with CRC-specific mortality among White participants (HR per 1 cup/day: 0.48 [0.25-0.94] and 0.45 [0.23 - 0.90], respectively). In the total cohort, caffeine intake was associated with 22% lower risk of all-cause mortality (HR 4th quartile vs. 1st quartile: 0.78 [0.62-0.99]) and 52% lower risk of CRC-specific mortality (HR 0.48 [0.27-0.87]).

conclusionsOverall, coffee intake after CRC diagnosis was not associated with all-cause or CRC-specific mortality. Decaffeinated coffee was associated with lower risk of all-cause mortality, and caffeine was associated with lower risk of all-cause and CRC-specific mortality.

Indexed as

CaffeineCoffeeColorectal NeoplasmsAgedCohort StudiesEthnicityFemaleHumansMaleMiddle AgedNative Hawaiian or Pacific IslanderRisk FactorsCaffeineCoffeeCaffeineCancer survivalColonNutritionRectal

Identifiers

PMID42714649
PMCPMC13558410

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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.