Evidence map›Paper›PMID 29554472›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018

Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.

Oguzhan Alagoz, Donald A Berry, Harry J de Koning, Eric J Feuer, Sandra J Lee, Sylvia K Plevritis, Clyde B Schechter, Natasha K Stout, Amy Trentham-Dietz, Jeanne S Mandelblatt and 1 more

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Modeling Thyroid Cancer Epidemiology in the United States Using Papillary Thyroid Carcinoma Microsimulation Model.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The OncoSim-Breast Cancer Microsimulation Model.Current oncology (Toronto, Ont.) · 2022
    Article
  19. Article
  20. 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

11 authors.

Oguzhan AlagozDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Donald A BerryDepartment of Biostatistics, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Harry J de KoningDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Eric J FeuerDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Sandra J LeeDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School and Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Sylvia K PlevritisDepartment of Radiology, School of Medicine, Stanford University, Stanford, CA, USA.
Clyde B SchechterDepartments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Amy Trentham-DietzDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA.
Jeanne S MandelblattDepartment of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA.
CISNET Breast Cancer Working Group members

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
OUTCOMES ACROSS THE SPECTRUM OF BREAST CANCER CAREU01CA088283 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2000 to 2010
$2.6M
Breast Cancer: Role of Early Detection, Treatment and PreventionU01CA088270 · NCI · DANA-FARBER CANCER INSTITUTE · PI LEE, SANDRA J · 2000 to 2009
$2.3M
Breast Cancer Trend Analysis Using Stochastic Stimulati*U01CA088248 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2000 to 2009
$2.0M
SIMULATING BREAST CANCER IN WISCONSINU01CA088211 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI FRYBACK, DENNIS G. · 2000 to 2004
$862k
CANCER INTERVENTION AND SURVEILLANCE MODELING NETWORKU01CA088278 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI BERRY, DONALD A · 2000 to 2004
$702k
MECHANISTIC MODELING OF BREAST CANCER SURVEILLANCEU01CA088177 · NCI · UNIVERSITY OF UTAH · PI YAKOVLEV, ANDREI Y · 2000 to 2004
$621k
SURVEILLANCE OF BREAST CANCER TRENDS BIJ MISCANU01CA088202 · NCI · ERASMUS UNIVERSITY OF ROTTERDAM · PI HABBEMA, J DIK · 2000 to 2004
$477k
BIOBEHAVIORAL IMMUNE INTERACTIONS IN OVARIAN CANCERR21CA088293 · NCI · UNIVERSITY OF IOWA · PI LUTGENDORF, SUSAN K · 2000 to 2001
$398k
NCATS NIH HHS UL1 TR000371NCI NIH HHS R21 CA088293NCI NIH HHS U01 CA088177NCI NIH HHS U01 CA088202NCI NIH HHS U01 CA088211NCI NIH HHS U01 CA088248NCI NIH HHS U01 CA088270NCI NIH HHS U01 CA088278NCI NIH HHS U01 CA088283NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA199218
6 · The paper itself

Abstract

The Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Working Group is a consortium of National Cancer Institute-sponsored investigators who use statistical and simulation modeling to evaluate the impact of cancer control interventions on long-term population-level breast cancer outcomes such as incidence and mortality and to determine the impact of different breast cancer control strategies. The CISNET breast cancer models have been continuously funded since 2000. The models have gone through several updates since their inception to reflect advances in the understanding of the molecular basis of breast cancer, changes in the prevalence of common risk factors, and improvements in therapy and early detection technology. This article provides an overview and history of the CISNET breast cancer models, provides an overview of the major changes in the model inputs over time, and presents examples for how CISNET breast cancer models have been used for policy evaluation.

Indexed as

Models, StatisticalBreast NeoplasmsComputer SimulationFemaleHumansInterprofessional RelationsModels, BiologicalNational Cancer Institute (U.S.)Risk AssessmentRisk FactorsUnited Statesbreast cancer controlbreast cancer epidemiologycancer simulationsimulation models

Identifiers

PMID29554472
PMCPMC5862043

What OpenQuestion holds

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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.