Evidence map›Paper›PMID 31497674›Full record

ArticleContemporary clinical trials communications2019

Study protocol: Randomized controlled trial of web-based decision support tools for high-risk women and healthcare providers to increase breast cancer chemoprevention.

Katherine D Crew, Thomas B Silverman, Alejandro Vanegas, Meghna S Trivedi, Jill Dimond, Jennie Mata, Margaret Sin, Tarsha Jones, Mary Beth Terry, Wei-Yann Tsai and 1 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03069742 (Web-based Decision Aids for Breast Cancer Risk Assessment and Increasing Breast Cancer Chemoprevention in the Primary Care Setting), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 23% 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.

NCT03069742 nacompletednot on this map

Web-based Decision Aids for Breast Cancer Risk Assessment and Increasing Breast Cancer Chemoprevention in the Primary Care Setting: Randomized Controlled Trial

TypeinterventionalSponsorColumbia UniversityRan2016 to 2022Enrolled300ConditionsBreast NeoplasmArmsRealRisks, BNAV
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 13 citations in OpenAlex.

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  10. User Comprehension and EHR Integration of theAMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Article
  11. Gynaecological Cancers in India: The Less Heard Perspectives of Healthcare Providers.International journal of environmental research and public health · 2023
    Article
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Katherine D CrewDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Thomas B SilvermanDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Alejandro VanegasDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Meghna S TrivediDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Jill DimondSassafras Tech Collective, Ann Arbor, MI, USA.
Jennie MataDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Margaret SinDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Tarsha JonesChristine E Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA.
Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Wei-Yann TsaiDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Rita KukafkaHerbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · USFlex (United States) · USFlorida Atlantic University · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
Increasing breast cancer chemoprevention in the primary care settingR01CA177995 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREW, KATHERINE D, KUKAFKA, RITA · 2014 to 2018
$3.5M
Multicenter trial of decision support for breast cancer chemopreventionR01CA226060 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREW, KATHERINE D, KUKAFKA, RITA · 2019 to 2023
$3.3M
NCATS NIH HHS UL1 TR000040NCI NIH HHS P30 CA013696NCI NIH HHS R01 CA177995NCI NIH HHS R01 CA226060NHGRI NIH HHS U01 HG008680
6 · The paper itself

Abstract

backgroundChemoprevention using selective estrogen receptor modulators and aromatase inhibitors has been shown to reduce invasive breast cancer incidence in high-risk women. Despite this evidence, few high-risk women who are eligible for chemoprevention utilize it as a risk-reducing strategy. Reasons for low uptake include inadequate knowledge about chemoprevention among patients and healthcare providers, concerns about side effects, time constraints during the clinical encounter, and competing comorbidities. METHODS/

designWe describe the study design of a randomized controlled trial examining the effect of two web-based decision support tools on chemoprevention decision antecedents and quality, referral for specialized counseling, and chemoprevention uptake among women at an increased risk for breast cancer. The trial is being conducted at a large, urban medical center. A total of 300 patients and 50 healthcare providers will be recruited and randomized to standard educational materials alone or in combination with the decision support tools. Patient reported outcomes will be assessed at baseline, one and six months after randomization, and after their clinic visit with their healthcare provider. DISCUSSION: We are conducting this trial to provide evidence on how best to support personalized breast cancer risk assessment and informed and shared decision-making for chemoprevention. We propose to integrate the decision support tools into clinical workflow, which can potentially expand quality decision-making and chemoprevention uptake.

trial registrationNCT03069742.

Indexed as

Breast cancer riskChemopreventionDecision support

Identifiers

PMID31497674
PMCPMC6722284
OpenAlexW2969567642

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.