Evidence map›Paper›PMID 39526879›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Alcohol and Cannabis Use Associated with Cardiometabolic Biomarkers among "All of Us" Cancer Survivors.

Angel Arizpe, Tiffany M Chapman, Claudia Rodriguez, Alberto Carvajal, Katelyn J Queen, Stephanie Navarro, Carol Y Ochoa-Dominguez, Sue E Kim, Claudia M Toledo-Corral, Albert J Farias

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Angel ArizpeDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0000-0002-4075-2675
Tiffany M ChapmanDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0000-0003-3947-103X
Claudia RodriguezDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0009-0004-2176-9916
Alberto CarvajalDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0009-0007-8500-1959
Katelyn J QueenDivision of Hematology-Oncology, Department of Medicine, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-8070-3042
Stephanie NavarroDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0000-0003-3220-852X
Carol Y Ochoa-DominguezDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, California.ORCID 0000-0002-6946-3287
Sue E KimDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0000-0001-9320-1108
Claudia M Toledo-CorralDepartment of Health Science, California State University, Los Angeles, California.ORCID 0000-0002-1228-9070
Albert J FariasDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID 0000-0002-6463-7831

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
Burroughs Wellcome Fund (BWF) 1057518National Cancer Institute (NCI) K00CA264294NCI NIH HHS K00 CA264294NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196NIH Office of the Director (OD) OT2OD025277
6 · The paper itself

Abstract

backgroundCancer survivors are at increased risk for cardiometabolic comorbidities following cancer treatment, which may be further exacerbated by cannabis and alcohol use. We aimed to examine the direct relationships of cannabis, alcohol, and the co-use of both substances with cardiometabolic risk factors and to explore disparities by race/ethnicity and sex.

methodsCross-sectional data were extracted from adult cancer survivors in the "All of Us" from 2018 to 2022. Cannabis use was defined as occasional or frequent/regular cannabis use (vs. never) in the past 3 months and hazardous alcohol intake (AUDIT-C >3 for females; AUDIT-C >4 for males) versus nonhazardous in the past year, respectively. Co-use was defined as participants who engaged in regular cannabis and hazardous alcohol intake. We identified binary cardiovascular, immune, and metabolic system biomarkers, with high values defined by clinically established cutoffs or >75th percentile. We used multivariable logistic regression adjusting for sociodemographic and clinical factors.

resultsIn our sample (N = 7,054), 7.6% were Hispanic, 6.2% were Black, and 86.2% were White cancer survivors. Less than 5% of Hispanic and White survivors reported substance co-use compared with 7% of Black survivors. Compared with never-users, co-users were 1.58 (95% confidence interval, 1.14-2.19) more likely to have high blood pressure. No significant associations were found between co-use and immune biomarkers or sex differences.

conclusionsCo-use of cannabis and hazardous alcohol may worsen high blood pressure in survivors, who are at higher risk for cardiometabolic comorbidities. IMPACT: The study investigates substance use and cardiometabolic biomarkers, urging much research on their effects on cancer survivors.

Indexed as

Alcohol DrinkingBiomarkersCancer SurvivorsAdultAgedCardiometabolic Risk FactorsCross-Sectional StudiesFemaleHumansMaleMarijuana UseMiddle AgedNeoplasmsUnited StatesBiomarkers

Identifiers

PMID39526879
PMCPMC11737210

What OpenQuestion holds

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Registered trials

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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.