Evidence map›Paper›PMID 32460821›Full record

ArticleBreast cancer research : BCR2020

Modeling the natural history of ductal carcinoma in situ based on population data.

Sarocha Chootipongchaivat, Nicolien T van Ravesteyn, Xiaoxue Li, Hui Huang, Harald Weedon-Fekjær, Marc D Ryser, Donald L Weaver, Elizabeth S Burnside, Brandy M Heckman-Stoddard, Harry J de Koning and 1 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  10. Impact of Breast Cancer Screening on 10-Year Net Survival in Canadian Women Age 40-49 Years.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  11. Article
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  17. Overcoming Barriers in Ductal Carcinoma In Situ Management: From Overtreatment to Optimal Treatment.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  18. Low-risk DCIS. What is it? Observe or excise?Virchows Archiv : an international journal of pathology · 2022
    Review
  19. Review
  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

11 authors.

Sarocha ChootipongchaivatDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, Netherlands. s.chootipongchaivat@erasmusmc.nl.ORCID 0000-0002-7714-4737
Nicolien T van RavesteynDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, Netherlands.
Xiaoxue LiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
Hui HuangDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
Harald Weedon-FekjærOslo Center for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway.
Marc D RyserDepartment of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
Donald L WeaverDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont and UVM Cancer Center, Burlington, VT, USA.
Elizabeth S BurnsideRadiology Department, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Brandy M Heckman-StoddardDivision of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.
Harry J de KoningDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, Netherlands.
Sandra J LeeDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
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
Analytical Investigation of Breast Cancer Progression: DCIS, OverdiagnosisR01CA164301 · NCI · DANA-FARBER CANCER INST · PI LEE, SANDRA J · 2012 to 2016
$1.9M
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskR00CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2018 to 2020
$746k
National Institutes of Health under National Cancer Institute 1 U01 CA199218National Institutes of Health under National Cancer Institute R01CA164301NCATS NIH HHS UL1 TR002373NCI NIH HHS P30 CA014520NCI NIH HHS R00 CA207872NCI NIH HHS R01 CA164301NCI NIH HHS U01 CA199218
6 · The paper itself

Abstract

backgroundThe incidence of ductal carcinoma in situ (DCIS) has increased substantially since the introduction of mammography screening. Nevertheless, little is known about the natural history of preclinical DCIS in the absence of biopsy or complete excision.

methodsTwo well-established population models evaluated six possible DCIS natural history submodels. The submodels assumed 30%, 50%, or 80% of breast lesions progress from undetectable DCIS to preclinical screen-detectable DCIS; each model additionally allowed or prohibited DCIS regression. Preclinical screen-detectable DCIS could also progress to clinical DCIS or invasive breast cancer (IBC). Applying US population screening dissemination patterns, the models projected age-specific DCIS and IBC incidence that were compared to Surveillance, Epidemiology, and End Results data. Models estimated mean sojourn time (MST) in the preclinical screen-detectable DCIS state, overdiagnosis, and the risk of progression from preclinical screen-detectable DCIS.

resultsWithout biopsy and surgical excision, the majority of DCIS (64-100%) in the preclinical screen-detectable state progressed to IBC in submodels assuming no DCIS regression (36-100% in submodels allowing for DCIS regression). DCIS overdiagnosis differed substantially between models and submodels, 3.1-65.8%. IBC overdiagnosis ranged 1.3-2.4%. Submodels assuming DCIS regression resulted in a higher DCIS overdiagnosis than submodels without DCIS regression. MST for progressive DCIS varied between 0.2 and 2.5 years.

conclusionsOur findings suggest that the majority of screen-detectable but unbiopsied preclinical DCIS lesions progress to IBC and that the MST is relatively short. Nevertheless, due to the heterogeneity of DCIS, more research is needed to understand the progression of DCIS by grades and molecular subtypes.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCohort StudiesDisease ProgressionEarly Detection of CancerFemaleFollow-Up StudiesHumansIncidenceMedical OveruseMiddle AgedModels, StatisticalPrognosisBreast carcinoma in situBreast neoplasmsDisease progressionEarly detection of cancerUnited States

Identifiers

PMID32460821
PMCPMC7251719

What OpenQuestion holds

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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.