Evidence map›Paper›PMID 27244699›Full record

ArticleCancer2016

Emerging trends in surgical and adjuvant radiation therapies among women diagnosed with ductal carcinoma in situ.

Oyewale O Shiyanbola, Brian L Sprague, John M Hampton, Kim Dittus, Ted A James, Sally Herschorn, Ronald E Gangnon, Donald L Weaver, Amy Trentham-Dietz

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Oyewale O ShiyanbolaDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin.
Brian L SpragueDepartment of Surgery, University of Vermont, Burlington, Vermont.
John M HamptonDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin.
Kim DittusUniversity of Vermont Cancer Center, Burlington, Vermont.
Ted A JamesDepartment of Surgery, University of Vermont, Burlington, Vermont.
Sally HerschornUniversity of Vermont Cancer Center, Burlington, Vermont.
Ronald E GangnonDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin.
Donald L WeaverUniversity of Vermont Cancer Center, Burlington, Vermont.
Amy Trentham-DietzDepartment of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin.
University of Vermont · USUniversity of Wisconsin Carbone Cancer Center · USUniversity of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
RISK FACTORS AND BIOMARKERS FOR IN SITU BREAST CANCERR01CA067264 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI TRENTHAM-DIETZ, AMY · 1996 to 2013
$3.6M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA067264NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundThe use of surgery and radiation therapy in treating ductal carcinoma in situ (DCIS) is directed by treatment guidelines and evidence from research. This study investigated recent patterns in DCIS treatment by demographic factors.

methodsData for women diagnosed with DCIS between 1998 and 2011 (n = 416,232) in the National Cancer Data Base were assessed for trends in treatment patterns by age group, calendar year, ancestral/ethnic group, and geographic region. The likelihood of receiving specific treatment modalities was analyzed with multivariable logistic regression.

resultsDCIS cases were most frequently treated with breast-conserving surgery (BCS) and adjuvant radiation (45.6%). After an initial rise, the use of adjuvant radiation after BCS plateaued at approximately 70% after 2007, with increasing utilization of mastectomy beyond 2005. In addition, there was an increasing trend in postmastectomy reconstruction over time, and women of African ancestry (odds ratio [OR], 0.69; 95% confidence interval [CI], 0.66-0.72) and Hispanic women (OR, 0.83; 95% CI, 0.78-0.89) were less likely to undergo reconstruction in comparison with women of European ancestry. A similar trend was observed in contralateral risk-reducing mastectomy utilization, with women of European ancestry having a more rapid rise in the utilization of contralateral risk-reducing mastectomy in comparison with all other ancestral/ethnic groups.

conclusionsRecent trends demonstrate a plateau in radiation therapy administration after BCS along with increasing utilization of mastectomy, reconstruction, and contralateral risk-reducing mastectomy. There are substantial differences in treatment utilization according to ancestry/ethnicity and geographical region. Further studies examining patient-physician decision making surrounding DCIS treatment are warranted. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2810-2818. © 2016 American Cancer Society.

Indexed as

AgedAged, 80 and overBreast Carcinoma In SituBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansMastectomyMiddle AgedRadiotherapy, Adjuvantbreast cancerductal carcinoma in situmastectomyradiationreconstruction

Identifiers

PMID27244699
PMCPMC5014675
OpenAlexW2414554318

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.