Evidence map›Paper›PMID 29554464›Full record

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

Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment.

Diego F Munoz, Sylvia K Plevritis

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Population simulation modeling of disparities in US breast cancer mortality.Journal of the National Cancer Institute. Monographs · 2023
    Article
  5. Article
  6. Article
  7. Motivation Research on the Content Creation Behaviour of Young Adults in Anxiety Disorder Online Communities.International journal of environmental research and public health · 2021
    Article
  8. Review
  9. Article
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  12. Article
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  15. Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  16. A Molecular Subtype-Specific Stochastic Simulation Model of US Breast Cancer Incidence, Survival, and Mortality Trends from 1975 to 2010.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  17. 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
  18. Cost Effectiveness of Gene Expression Profile Testing in Community Practice.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Diego F MunozDepartment of Radiology, School of Medicine, Stanford University, Stanford, CA, USA.
Sylvia K PlevritisDepartment of Radiology, School of Medicine, Stanford University, Stanford, CA, USA.
Stanford University · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
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
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
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 P01 CA154292NCI NIH HHS U01 CA088283NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA199218NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundAs molecular subtyping of breast cancer influences clinical management, the evaluation of screening and adjuvant treatment interventions at the population level needs to account for molecular subtyping. Performing such analyses are challenging because molecular subtype-specific, long-term outcomes are not readily accessible; these markers were not historically recorded in tumor registries. We present a modeling approach to estimate historical survival outcomes by estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) status.

methodOur approach leverages a simulation model of breast cancer outcomes and integrates data from two sources: the Surveillance Epidemiology and End Results (SEER) databases and the Breast Cancer Surveillance Consortium (BCSC). We not only produce ER- and HER2-specific estimates of breast cancer survival in the absence of screening and adjuvant treatment but we also estimate mean tumor volume doubling time (TVDT) and mean mammographic detection threshold by ER/HER2-status.

resultsIn general, we found that tumors with ER-negative and HER2-positive status are associated with more aggressive growth, have lower TVDTs, are harder to detect by mammography, and have worse survival outcomes in the absence of screening and adjuvant treatment. Our estimates have been used as inputs into model-based analyses that evaluate the effects of screening and adjuvant treatment interventions on population outcomes by ER and HER2 status developed by the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Working Group. In addition, our estimates enable a re-assessment of historical trends in breast cancer incidence and mortality in terms of contemporary molecular tumor characteristics.

conclusionOur approach can be generalized beyond breast cancer and to more complex molecular profiles.

Indexed as

AdultAgedAged, 80 and overAge DistributionBiomarkers, TumorBreast NeoplasmsComputer SimulationEarly Detection of CancerErb-b2 Receptor Tyrosine KinasesFemaleHumansMammographyMiddle AgedNeoplasm StagingReceptors, EstrogenRisk AssessmentBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogenbreast cancer simulation modelbreast cancer survivalCISNETestrogen receptor (ER) statushuman epidermal growth factor 2 (HER2) statusscreening mammography

Identifiers

PMID29554464
PMCPMC6635303
OpenAlexW2791551144

What OpenQuestion holds

Textmetadata
LicenceTDM
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.