Evidence map›Paper›PMID 29931120›Full record

ArticleJAMA oncology2018

Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women.

Premenopausal Breast Cancer Collaborative Group, Minouk J Schoemaker, Hazel B Nichols, Lauren B Wright, Mark N Brook, Michael E Jones, Katie M O'Brien, Hans-Olov Adami, Laura Baglietto, Leslie Bernstein and 41 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 14 pooled it
14.6field-weighted citation impact, top 1% 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

207 citing papers in PubMed, 14 syntheses or guidelines pooled it, 360 citations in OpenAlex.

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147 more citing papers are in PubMed but not listed here.

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

51 authors at 20 institutions in 16 countries.

Premenopausal Breast Cancer Collaborative Group
Minouk J SchoemakerDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Hazel B NicholsDepartment of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill.
Lauren B WrightDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Mark N BrookDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Michael E JonesDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Katie M O'BrienBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Laura BagliettoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Leslie BernsteinDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California.
Kimberly A BertrandSlone Epidemiology Center at Boston University, Boston, Massachusetts.
Marie-Christine Boutron-RuaultInstitut National de la Santé et de la Recherche Medicale U1018, Institut Gustave Roussy, Centre d'Etude des Supports de Publicité, Université Paris-Saclay, Université Paris-Sud, and Université Versailles Saint-Quentin, Paris, France.
Tonje BraatenDepartment of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø.
Yu ChenDepartment of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York City, New York.
Avonne E ConnorDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Miren DorronsoroPublic Health Direction and Biodonostia Research Institute and Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Basque Regional Health Department, San Sebastian, Spain.
Laure DossusNutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France.
A Heather EliassenDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Timothy J KeyNuffield Department of Population Health, University of Oxford, Oxford, England.
Victoria A KirshDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Cari M KitaharaRadiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Woon-Puay KohHealth Services and Systems Research, Duke-NUS (National University of Singapore) Medical School, Singapore.
Susanna C LarssonNutrional Epidemiology Unit, Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden.
Martha S LinetRadiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Huiyan MaDepartment of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California.
Giovanna MasalaCancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy.
Melissa A MerrittSchool of Public Health, Imperial College, London, England.
Roger L MilneCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Kim OvervadDepartment of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
Kotaro OzasaRadiation Effects Research Foundation, Hiroshima, Japan.
Julie R PalmerSlone Epidemiology Center at Boston University, Boston, Massachusetts.
Petra H PeetersUniversity Medical Center, Utrecht University, Utrecht, the Netherlands.
Elio RiboliSchool of Public Health, Imperial College, London, England.
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
Atsuko SadakaneRadiation Effects Research Foundation, Hiroshima, Japan.
Malin SundDepartment of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Rulla M TamimiDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Antonia TrichopoulouHellenic Health Foundation, Athens, Greece.
Giske UrsinCancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo.
Lars VattenDepartment of Public Health, Norwegian University of Science and Technology, Trondheim.
Kala VisvanathanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Elisabete WeiderpassDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Walter C WillettChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Alicja WolkNutrional Epidemiology Unit, Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden.
Jian-Min YuanUniversity of Pittsburgh Graduate School of Public Health and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania.
Anne Zeleniuch-JacquotteDepartment of Population Health and Perlmutter Cancer Center, New York University School of Medicine, New York City, New York.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina.
Anthony J SwerdlowDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.
Brigham and Women's Hospital · USInstitute of Cancer Research · GBNational Institutes of Health · USBoston University · USJohns Hopkins University · USThe University of Melbourne · AUAlbert Einstein College of Medicine · USCity of Hope · USGerman Cancer Research Center · DEKarolinska Institutet · SENational University of Singapore · SGUniversité Paris-Sud · FRUniversity of North Carolina at Chapel Hill · USUniversity of Pisa · ITUniversity of Southern California · USUniversity of Toronto · CAAarhus University · DKBiogipuzkoa Health Research Institute · ESNew York University · USPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

Studies of Populations Exposed to Occupational Sources of RadiationZIACP010133 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI KITAHARA, CARI · 2009 to 2025
$34.2M
A Follow-up Study for Causes of Cancer in Black WomenU01CA164974 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Kimberly A. Bertrand, Yvette C Cozier · 2017 to 2026
$24.0M
Environmental and Genetic Risk Factors For Breast Cancer: The Sister StudyZIAES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$22.7M
Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
The NYU Women's Health StudyUM1CA182934 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZELENIUCH-JAQUOTTE, ANNE · 2015 to 2019
$3.7M
The Singapore Chinese Health StudyU01CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2019 to 2019
$150k
Medical Research Council MR/M012190/1NCI NIH HHS R01 CA144034NCI NIH HHS U01 CA164974NCI NIH HHS U01 CA182876NCI NIH HHS UM1 CA182876NCI NIH HHS UM1 CA182934World Health Organization 001
6 · The paper itself

Abstract

Importance: The association between increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and risk of breast cancer is unique in cancer epidemiology in that a crossover effect exists, with risk reduction before and risk increase after menopause. The inverse association with premenopausal breast cancer risk is poorly characterized but might be important in the understanding of breast cancer causation. Objective: To investigate the association of BMI with premenopausal breast cancer risk, in particular by age at BMI, attained age, risk factors for breast cancer, and tumor characteristics. Design, Setting, and Participants: This multicenter analysis used pooled individual-level data from 758 592 premenopausal women from 19 prospective cohorts to estimate hazard ratios (HRs) of premenopausal breast cancer in association with BMI from ages 18 through 54 years using Cox proportional hazards regression analysis. Median follow-up was 9.3 years (interquartile range, 4.9-13.5 years) per participant, with 13 082 incident cases of breast cancer. Participants were recruited from January 1, 1963, through December 31, 2013, and data were analyzed from September 1, 2013, through December 31, 2017. Exposures: Body mass index at ages 18 to 24, 25 to 34, 35 to 44, and 45 to 54 years. Main Outcomes and Measures: Invasive or in situ premenopausal breast cancer. Results: Among the 758 592 premenopausal women (median age, 40.6 years; interquartile range, 35.2-45.5 years) included in the analysis, inverse linear associations of BMI with breast cancer risk were found that were stronger for BMI at ages 18 to 24 years (HR per 5 kg/m2 [5.0-U] difference, 0.77; 95% CI, 0.73-0.80) than for BMI at ages 45 to 54 years (HR per 5.0-U difference, 0.88; 95% CI, 0.86-0.91). The inverse associations were observed even among nonoverweight women. There was a 4.2-fold risk gradient between the highest and lowest BMI categories (BMI≥35.0 vs <17.0) at ages 18 to 24 years (HR, 0.24; 95% CI, 0.14-0.40). Hazard ratios did not appreciably vary by attained age or between strata of other breast cancer risk factors. Associations were stronger for estrogen receptor-positive and/or progesterone receptor-positive than for hormone receptor-negative breast cancer for BMI at every age group (eg, for BMI at age 18 to 24 years: HR per 5.0-U difference for estrogen receptor-positive and progesterone receptor-positive tumors, 0.76 [95% CI, 0.70-0.81] vs hormone receptor-negative tumors, 0.85 [95% CI: 0.76-0.95]); BMI at ages 25 to 54 years was not consistently associated with triple-negative or hormone receptor-negative breast cancer overall. Conclusions and Relevance: The results of this study suggest that increased adiposity is associated with a reduced risk of premenopausal breast cancer at a greater magnitude than previously shown and across the entire distribution of BMI. The strongest associations of risk were observed for BMI in early adulthood. Understanding the biological mechanisms underlying these associations could have important preventive potential.

Indexed as

Age FactorsBody Mass IndexAdolescentAdultBreast NeoplasmsFemaleHumansMiddle AgedPremenopauseRisk FactorsYoung Adult

Identifiers

PMID29931120
PMCPMC6248078
OpenAlexW2809263049

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.