Evidence map›Paper›PMID 27729066›Full record

SynthesisBreast cancer research : BCR2016

Pre-natal exposures and breast tissue composition: findings from a British pre-birth cohort of young women and a systematic review.

Rachel Denholm, Bianca De Stavola, John H Hipwell, Simon J Doran, Marta C Busana, Amanda Eng, Mona Jeffreys, Martin O Leach, David Hawkes, Isabel Dos Santos Silva

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  11. Observational
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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

10 authors at 5 institutions in 2 countries.

Rachel DenholmDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Bianca De StavolaDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
John H HipwellCentre for Medical Image Computing, Department of Medical Physics and Bioengineering, UCL, London, UK.
Simon J DoranCancer Research UK Cancer Imaging Centre, The Institute of Cancer Research (ICH) and Royal Marsden NHS Foundation Trust (RHM), London, UK.
Marta C BusanaDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Amanda EngCentre for Public Health Research, Massey University, Wellington, New Zealand.
Mona JeffreysSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Martin O LeachCancer Research UK Cancer Imaging Centre, The Institute of Cancer Research (ICH) and Royal Marsden NHS Foundation Trust (RHM), London, UK.
David HawkesCentre for Medical Image Computing, Department of Medical Physics and Bioengineering, UCL, London, UK.
Isabel Dos Santos SilvaDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. isabel.silva@lshtm.ac.uk.ORCID 0000-0002-6596-8798
London School of Hygiene & Tropical Medicine · GBRoyal Marsden NHS Foundation Trust · GBUniversity College London · GBMassey University · NZUniversity of Bristol · GB

Funding

Cancer Research UK 102215/2/13/2Cancer Research UK 12730Cancer Research UK 16464Cancer Research UK C1060/A10334Cancer Research UK C1060/A16464Cancer Research UK C405/A12730Medical Research Council G9815508Medical Research Council MC_PC_15018
6 · The paper itself

Abstract

backgroundBreast density, the amount of fibroglandular tissue in the adult breast for a women's age and body mass index, is a strong biomarker of susceptibility to breast cancer, which may, like breast cancer risk itself, be influenced by events early in life. In the present study, we investigated the association between pre-natal exposures and breast tissue composition.

methodsA sample of 500 young, nulliparous women (aged approximately 21 years) from a U.K. pre-birth cohort underwent a magnetic resonance imaging examination of their breasts to estimate percent water, a measure of the relative amount of fibroglandular tissue equivalent to mammographic percent density. Information on pre-natal exposures was collected throughout the mothers' pregnancy and shortly after delivery. Regression models were used to investigate associations between percent water and pre-natal exposures. Mediation analysis, and a systematic review and meta-analysis of the published literature, were also conducted.

resultsAdjusted percent water in young women was positively associated with maternal height (p for linear trend [p

conclusionsThese findings provide strong evidence of pre-natal influences on breast tissue composition. The positive association between birth size and relative amount of fibroglandular tissue indicates that breast density and breast cancer risk may share a common pre-natal origin.

Indexed as

Maternal ExposurePrenatal Exposure Delayed EffectsAdultBreast DensityFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMammary Glands, HumanPopulation SurveillancePregnancyRisk FactorsUnited KingdomYoung AdultALSPACBirthweightBreast densityIn uteroMagnetic resonance imagingMammographic densityMaternalMediation analysisPre-natalSystematic review

Identifiers

PMID27729066
PMCPMC5059986
OpenAlexW2529924362

What OpenQuestion holds

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LicenceCC BY
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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.