Evidence map›Paper›PMID 23104221›Full record

ArticleBreast cancer research and treatment2012

Collaborative modeling of the impact of obesity on race-specific breast cancer incidence and mortality.

Yaojen Chang, Clyde B Schechter, Nicolien T van Ravesteyn, Aimee M Near, Eveline A M Heijnsdijk, Lucile Adams-Campbell, David Levy, Harry J de Koning, Jeanne S Mandelblatt

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Simulation models for socioeconomic inequalities in health: a systematic review.International journal of environmental research and public health · 2013
    Pooled it
  2. Population simulation modeling of disparities in US breast cancer mortality.Journal of the National Cancer Institute. Monographs · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  10. Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  11. Comparing CISNET Breast Cancer Models Using the Maximum Clinical Incidence Reduction Methodology.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  12. Article
  13. Article
  14. The contribution of mammography screening to breast cancer incidence trends in the United States: an updated age-period-cohort model.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Article
  15. Review
  16. Article
  17. Article
  18. Article
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

9 authors.

Yaojen ChangCancer Prevention and Control Program, Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3300 Whitehaven Street, Suite 4100, Washington, DC 20007, USA.
Clyde B Schechter
Nicolien T van Ravesteyn
Aimee M Near
Eveline A M Heijnsdijk
Lucile Adams-Campbell
David Levy
Harry J de Koning
Jeanne S Mandelblatt

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE, Diana L Miglioretti · 2011 to 2026
$52.9M
Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
REFERRAL PATTERNS AND COST ANALYSIS OF SCREENING MAMMOGRAPHY--FOLLOW-UP/BIOPSYU01CA063736 · NCI · COOPER INSTITUTE · PI CUTTER, GARY · 1994 to 2004
$2.7M
NEW MEXICO MAMMOGRAPHY PROJECTU01CA069976 · NCI · UNIVERSITY OF NEW MEXICO · PI ROSENBERG, ROBERT D · 1995 to 2005
$2.7M
OUTCOMES ACROSS THE SPECTRUM OF BREAST CANCER CAREU01CA088283 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2000 to 2010
$2.6M
NCI NIH HHS HHSN261201100031CNCI NIH HHS K05 CA096940NCI NIH HHS KO5CA96940NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS R21 CA149996NCI NIH HHS R21CA149996NCI NIH HHS U01 CA063731NCI NIH HHS U01 CA063736NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA069976NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA070040NCI NIH HHS U01 CA086076NCI NIH HHS U01 CA086082NCI NIH HHS U01 CA088283NCI NIH HHS U01CA088283NCI NIH HHS U01 CA152956NCI NIH HHS U01 CA152958NCI NIH HHS U01CA152958NCI NIH HHS U01CA63731NCI NIH HHS U01CA63736NCI NIH HHS U01CA63740NCI NIH HHS U01CA69976NCI NIH HHS U01CA70013NCI NIH HHS U01CA70040NCI NIH HHS U01CA86076NCI NIH HHS U01CA86082NCI NIH HHS UO1CA152956PHS HHS 261201100031C
6 · The paper itself

Abstract

Obesity affects multiple points along the breast cancer control continuum from prevention to screening and treatment, often in opposing directions. Obesity is also more prevalent in Blacks than Whites at most ages so it might contribute to observed racial disparities in mortality. We use two established simulation models from the Cancer Intervention and Surveillance Modeling Network (CISNET) to evaluate the impact of obesity on race-specific breast cancer outcomes. The models use common national data to inform parameters for the multiple US birth cohorts of Black and White women, including age- and race-specific incidence, competing mortality, mammography characteristics, and treatment effectiveness. Parameters are modified by obesity (BMI of ≥ 30 kg/m(2)) in conjunction with its age-, race-, cohort- and time-period-specific prevalence. We measure age-standardized breast cancer incidence and mortality and cases and deaths attributable to obesity. Obesity is more prevalent among Blacks than Whites until age 74; after age 74 it is more prevalent in Whites. The models estimate that the fraction of the US breast cancer cases attributable to obesity is 3.9-4.5 % (range across models) for Whites and 2.5-3.6 % for Blacks. Given the protective effects of obesity on risk among women <50 years, elimination of obesity in this age group could increase cases for both the races, but decrease cases for women ≥ 50 years. Overall, obesity accounts for 4.4-9.2 % and 3.1-8.4 % of the total number of breast cancer deaths in Whites and Blacks, respectively, across models. However, variations in obesity prevalence have no net effect on race disparities in breast cancer mortality because of the opposing effects of age on risk and patterns of age- and race-specific prevalence. Despite its modest impact on breast cancer control and race disparities, obesity remains one of the few known modifiable risks for cancer and other diseases, underlining its relevance as a public health target.

Indexed as

Models, StatisticalAdultAgedBlack or African AmericanBreast NeoplasmsComputer SimulationFemaleHumansMammographyMiddle AgedObesitySEER ProgramUnited StatesWhite People

Identifiers

PMID23104221
PMCPMC3511695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.