Evidence map›Paper›PMID 35583696›Full record

Observational studyEuropean journal of nutrition2022

Associations of coffee/caffeine consumption with postmenopausal breast cancer risk and their interactions with postmenopausal hormone use.

Lusine Yaghjyan, Eric McLaughlin, Amy Lehman, Marian L Neuhouser, Thomas Rohan, Dorothy S Lane, Linda Snetselaar, Electra Paskett

Erratum issuedOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Lusine YaghjyanDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd., Gainesville, FL, 32610, USA. lyaghjyan@ufl.edu.ORCID http://orcid.org/0000-0002-1626-5340
Eric McLaughlinCenter for Biostatistics, Ohio State University, Columbus, OH, USA.
Amy LehmanCenter for Biostatistics, Ohio State University, Columbus, OH, USA.
Marian L NeuhouserPublic Health Sciences Division, Fred Hutch Cancer Center, Seattle, WA, USA.
Thomas RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Dorothy S LaneDepartment of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, New York, NY, USA.
Linda SnetselaarDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
Electra PaskettDivision of Epidemiology, College of Public Health, Ohio State University, Columbus, OH, USA.
The Ohio State University · USAlbert Einstein College of Medicine · USFred Hutch Cancer Center · USStony Brook School · USUniversity of Florida · USUniversity of Iowa · US

Funding

Translational Training Grant in Experimental TherapeuticsK12CA133250 · NCI · OHIO STATE UNIVERSITY · PI WILLIAM E. CARSON, Rosa Lapalombella · 2008 to 2026
$15.0M
Addressing Individual Provider Bias and Group Decision-Making in Selection of Advanced Heart Failure Therapies in Racial/Ethnic MinoritiesK01HL142848 · NHLBI · UNIVERSITY OF ARIZONA · PI BREATHETT, KHADIJAH · 2018 to 2021
$858k
NCI NIH HHS K01CA21845701A1NCI NIH HHS K12 CA133250NCI NIH HHS K12CA133250NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS K01 HL142848NHLBI NIH HHS K01HL142848NIH HHS HHSN268201600001CNIH HHS HHSN268201600002CNIH HHS HHSN268201600003CNIH HHS HHSN268201600004CNIH HHS HHSN268201600018C
6 · The paper itself

Abstract

purposeWe investigated the association of coffee and caffeine with breast cancer (BCa) risk, overall and by ER/PR status. We also examined potential interactions of coffee and caffeine with postmenopausal hormone use.

methodsOur study included 77,688 postmenopausal participants from the Women's Health Initiative observational study cohort without a history of any cancer at baseline (except non-melanoma skin) and with valid Food Frequency Questionnaire data and complete data on dietary caffeine. Regular coffee (none, 1, 2-3, 4-5, and ≥ 6 cups/day) and caffeine (tertiles) were assessed at baseline. Information on BCa risk factors was collected at baseline. The associations were examined using survival analysis, accounting for death as a competing risk.

resultsThe median follow-up time for our cohort was 18.3 years. During the follow-up, 5005 women developed invasive breast cancer. In multivariable analysis, coffee was not associated with the overall invasive BCa risk. Higher caffeine intake was mildly associated with increased BCa risk (2nd vs. 1st tertile SHR = 1.10, 95% CI 1.03-1.18, 3rd vs. 1st tertile SHR-1.05, 95% CI 0.98-1.13, overall p = 0.03). We found no interaction of coffee/caffeine with postmenopausal hormone use (p interaction = 0.44 and 0.42, respectively). In the exploratory analysis by ER/PR status, we found a positive association of caffeine with ER+ /PR+ BCa (2nd vs. 1st tertile SHR = 1.17, 95% CI 1.07-1.28, 3rd vs. 1st tertile SHR = 1.13, 95% CI 1.03-1.24, overall p = 0.002); no associations were observed for ER-/PR- tumors. Coffee was not associated with the risk of ER+ /PR+ or ER-/PR- tumors.

conclusionWe found no associations of coffee with BCa risk, overall and for ER/PR-defined tumor subtypes. The higher caffeine consumption was mildly and positively associated with the overall BCa risk and with ER+ /PR+ tumors.

Indexed as

Breast NeoplasmsCaffeineFemaleHormonesHumansPostmenopauseRisk FactorsCaffeineHormonesBreast cancerCaffeine intakeCoffeeWomen’s Health Initiative

Identifiers

PMID35583696
PMCPMC10227860
OpenAlexW4280610038

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.