Evidence map›Paper›PMID 39639353›Full record

SynthesisBreast cancer research : BCR2024

Alcohol cessation and breast cancer risk stratified by hormone receptor status.

Mary Beth Terry, Dallas R English, Jo L Freudenheim, Béatrice Lauby-Secretan, Susan M Gapstur

Abstract readMeta-Analysis
In one paragraph

Synthesis in Breast cancer research : BCR, 2024. 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. Review
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

5 authors.

Mary Beth TerryMailman School of Public Health and the Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, Columbia University, New York, NY, USA. Mt146@cumc.columbia.edu.
Dallas R EnglishCancer Council Victoria and Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
Jo L FreudenheimSchool of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Béatrice Lauby-SecretanInternational Agency for Research on Cancer, Lyon, France.
Susan M GapsturEpidemiology Consultant, Tiffin, Iowa, USA.

Funding

Breast Cancer Research Foundation N/ACentre International de Recherche sur le Cancer N/AWorld Health Organization 001
6 · The paper itself

Abstract

Because alcohol consumption is an established cause of female breast cancer, understanding whether cessation affects risk is of public health importance. In a recent meta-analysis, compared with continuing consumption, the relative risk (RR) for cessation was 0.95 (95% confidence interval [CI] 0.88-1.01). Because intake of alcohol is more consistently associated with estrogen receptor positive (ER+) than negative (ER-) subtypes, we conducted a meta-analysis of alcohol cessation for ER-specific breast cancer risk using data from three cohort studies and one population-based case-control study (ER + n = 3,793; ER- n = 627) with information reported on cessation and ER status. Compared with continuing consumption, cessation was associated with lower risk of ER+ (RR = 0.88, 95%CI, 0.79-0.98) but not ER- (RR = 1.23, 95%CI, 0.98-1.55) breast cancer. These results suggest that, compared with continuing consumption, alcohol cessation may reduce ER + but not ER- breast cancer risk. However, research that considers duration of cessation is warranted.

Indexed as

Alcohol DrinkingBreast NeoplasmsReceptors, EstrogenAlcohol AbstinenceCase-Control StudiesFemaleHumansMiddle AgedReceptors, ProgesteroneRiskRisk FactorsReceptors, EstrogenReceptors, ProgesteroneAlcohol cessationAlcoholic beveragesBreast cancerEstrogen receptorHormone receptorRisk reduction

Identifiers

PMID39639353
PMCPMC11619338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.