Evidence map›Paper›PMID 37430191›Full record

SynthesisBMC cancer2023

Association of reproductive risk factors and breast cancer molecular subtypes: a systematic review and meta-analysis.

Xihua Mao, Chioma Omeogu, Shama Karanth, Ashwini Joshi, Clare Meernik, Lauren Wilson, Amy Clark, April Deveaux, Chunyan He, Tisha Johnson and 3 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

13 authors.

Xihua MaoDepartment of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA.
Chioma OmeoguDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
Shama KaranthUF Health Cancer Canter, University of Florida, Gainesville, FL, USA.
Ashwini JoshiDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
Clare MeernikDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
Lauren WilsonDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
Amy ClarkDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
April DeveauxDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
Chunyan HeThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.
Tisha JohnsonDepartment of Preventive Medicine and Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA.
Karen BartonDuke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, USA.
Samantha KaplanDuke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, USA.
Tomi AkinyemijuDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA. tomi.akinyemiju@duke.edu.

Funding

Metabolic Syndrome and Epigenetic Markers of Breast Cancer in Nigerian WomenK01TW010271 · FIC · UNIVERSITY OF KENTUCKY · PI AKINYEMIJU, TOMI F · 2016 to 2020
$676k
FIC NIH HHS K01 TW010271
6 · The paper itself

Abstract

backgroundAssociations between reproductive factors and breast cancer (BC) risk vary by molecular subtype (i.e., luminal A, luminal B, HER2, and triple negative/basal-like [TNBC]). In this systematic review and meta-analysis, we summarized the associations between reproductive factors and BC subtypes.

methodsStudies from 2000 to 2021 were included if BC subtype was examined in relation to one of 11 reproductive risk factors: age at menarche, age at menopause, age at first birth, menopausal status, parity, breastfeeding, oral contraceptive (OC) use, hormone replacement therapy (HRT), pregnancy, years since last birth and abortion. For each reproductive risk factor, BC subtype, and study design (case-control/cohort or case-case), random-effects models were used to estimate pooled relative risks and 95% confidence intervals.

resultsA total of 75 studies met the inclusion criteria for systematic review. Among the case-control/cohort studies, later age at menarche and breastfeeding were consistently associated with decreased risk of BC across all subtypes, while later age at menopause, later age of first childbirth, and nulliparity/low parity were associated with increased risk of luminal A, luminal B, and HER2 subtypes. In the case-only analysis, compared to luminal A, postmenopausal status increased the risk of HER2 and TNBC. Associations were less consistent across subtypes for OC and HRT use.

conclusionIdentifying common risk factors across BC subtypes can enhance the tailoring of prevention strategies, and risk stratification models can benefit from subtype specificity. Adding breastfeeding status to current BC risk prediction models can enhance predictive ability, given the consistency of the associations across subtypes.

Indexed as

Triple Negative Breast NeoplasmsBreastFemaleHumansParityPregnancyReproductive HistoryRisk FactorsBreast cancerHormone receptorMeta-analysisMolecular subtypesReproductive factors

Identifiers

PMID37430191
PMCPMC10334550

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.