Evidence map›Paper›PMID 34931856›Full record

ReviewRadiology2022

Ductal Carcinoma in Situ: State-of-the-Art Review.

Lars J Grimm, Habib Rahbar, Monica Abdelmalak, Allison H Hall, Marc D Ryser

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07439432 (Stereotactic Guided Biopsy and Cryoablation of Breast Cancer), which is not on this map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
8.9field-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.

NCT07439432 nawithdrawnnot on this mapstarted 2025, after this paper: background citation

Stereotactic Guided Biopsy and Cryoablation of Breast Cancer

TypeinterventionalSponsorMontefiore Medical CenterRan2025 to 2027Enrolled0ConditionsBreast CancerArmsStereotactic Guided Biopsy and Cryoablation
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

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6 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

5 authors at 1 institution in 1 country.

Lars J GrimmFrom the Departments of Radiology (L.J.G.), Pathology (M.A., A.H.H.), and Population Health Sciences (M.D.R.), Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710; and Department of Radiology, University of Washington, Seattle, Wash (H.R.).ORCID 0000-0002-3865-3352
Habib RahbarFrom the Departments of Radiology (L.J.G.), Pathology (M.A., A.H.H.), and Population Health Sciences (M.D.R.), Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710; and Department of Radiology, University of Washington, Seattle, Wash (H.R.).ORCID 0000-0003-4835-1478
Monica AbdelmalakFrom the Departments of Radiology (L.J.G.), Pathology (M.A., A.H.H.), and Population Health Sciences (M.D.R.), Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710; and Department of Radiology, University of Washington, Seattle, Wash (H.R.).ORCID 0000-0003-4202-699X
Allison H HallFrom the Departments of Radiology (L.J.G.), Pathology (M.A., A.H.H.), and Population Health Sciences (M.D.R.), Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710; and Department of Radiology, University of Washington, Seattle, Wash (H.R.).ORCID 0000-0003-3413-603X
Marc D RyserFrom the Departments of Radiology (L.J.G.), Pathology (M.A., A.H.H.), and Population Health Sciences (M.D.R.), Duke University, 2301 Erwin Rd, Box 3808, Durham, NC 27710; and Department of Radiology, University of Washington, Seattle, Wash (H.R.).ORCID 0000-0002-4990-0849
University of Washington · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
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
NCI NIH HHS P30 CA014236NCI NIH HHS R00 CA207872NCI NIH HHS R01 CA203883
6 · The paper itself

Abstract

Ductal carcinoma in situ (DCIS) is a nonobligate precursor of invasive cancer, and its detection, diagnosis, and management are controversial. DCIS incidence grew with the expansion of screening mammography programs in the 1980s and 1990s, and DCIS is viewed as a major driver of overdiagnosis and overtreatment. For pathologists, the diagnosis and classification of DCIS is challenging due to undersampling and interobserver variability. Understanding the progression from normal breast tissue to DCIS and, ultimately, to invasive cancer is limited by a paucity of natural history data with multiple proposed evolutionary models of DCIS initiation and progression. Although radiologists are familiar with the classic presentation of DCIS as asymptomatic calcifications at mammography, the expanded pool of modalities, advanced imaging techniques, and image analytics have identified multiple potential biomarkers of histopathologic characteristics and prognosis. Finally, there is growing interest in the nonsurgical management of DCIS, including active surveillance, to reduce overtreatment and provide patients with more personalized management options. However, current biomarkers are not adept at enabling identification of occult invasive disease at biopsy or accurately predicting the risk of progression to invasive disease. Several active surveillance trials are ongoing and are expected to better identify women with low-risk DCIS who may avoid surgery.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma in SituEarly Detection of CancerFemaleHumansPrognosis

Identifiers

PMID34931856
PMCPMC8805655
OpenAlexW4200206252

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.