Evidence map›Paper›PMID 30236776›Full record

ArticleContemporary clinical trials2018

Promoting guideline-based cancer genetic risk assessment for hereditary breast and ovarian cancer in ethnically and geographically diverse cancer survivors: Rationale and design of a 3-arm randomized controlled trial.

Anita Y Kinney, Rachel Howell, Rachel Ruckman, Jean A McDougall, Tawny W Boyce, Belinda Vicuña, Ji-Hyun Lee, Dolores D Guest, Randi Rycroft, Patricia A Valverde and 6 more

Registry-linked trialOpen access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03326713 (Comparative Effectiveness of Interventions to Increase Guideline-based Genetic Counseling in Ethnically and Geographically Diverse Cancer Survivors), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 30% 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.

NCT03326713 nacompletednot on this map

Comparative Effectiveness of Interventions to Increase Guideline-based Genetic Counseling in Ethnically and Geographically Diverse Cancer Survivors

TypeinterventionalSponsorRutgers, The State University of New JerseyRan2017 to 2022Enrolled668ConditionsBreast Cancer, Ovarian CancerArmsTelephone Counseling & Navigation (TCN), Mailed Targeted Print (TP), Usual Care (UC)
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

16 authors at 6 institutions in 1 country.

Anita Y KinneyDepartment of Epidemiology, School of Public Health, Rutgers University, New Brunswick, Jersey; Cancer Institute of New Jersey, Rutgers University, New Brunswick, Jersey. Electronic address: anita.kinney@rutgers.edu.
Rachel HowellComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Rachel RuckmanComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Jean A McDougallDepartment of Internal Medicine, University of New Mexico, Albuquerque, Mexico; Comprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Tawny W BoyceComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Belinda VicuñaComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico; Department of Psychology, University of New Mexico, Albuquerque, Mexico.
Ji-Hyun LeeDepartment of Internal Medicine, University of New Mexico, Albuquerque, Mexico; Comprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Dolores D GuestComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Randi RycroftColorado Central Cancer Registry, Colorado Department of Public Health and Environment, Denver, CO, United States.
Patricia A ValverdeColorado School of Public Health, University of Colorado, Aurora, CO, United States.
Kristina M GallegosComprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico.
Angela MeisnerNew Mexico Tumor Registry, University of New Mexico, Albuquerque, Mexico.
Charles L WigginsDepartment of Internal Medicine, University of New Mexico, Albuquerque, Mexico; Comprehensive Cancer Center, University of New Mexico, Albuquerque, Mexico; New Mexico Tumor Registry, University of New Mexico, Albuquerque, Mexico.
Antoinette StroupDepartment of Epidemiology, School of Public Health, Rutgers University, New Brunswick, Jersey; Cancer Institute of New Jersey, Rutgers University, New Brunswick, Jersey.
Lisa E PaddockDepartment of Epidemiology, School of Public Health, Rutgers University, New Brunswick, Jersey; Cancer Institute of New Jersey, Rutgers University, New Brunswick, Jersey.
Scott T WaltersDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, School of Public Health, Fort Worth, TX, United States.
New Mexico Cancer Center · USUniversity of New Mexico · USRutgers, The State University of New Jersey · USColorado Department of Public Health and Environment · USColorado School of Public Health · USUniversity of North Texas · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
Comparative Effectiveness of Interventions to Increase Guideline-based Genetic Counseling in Ethnically and Geographically Diverse Cancer SurvivorsR01CA211625 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI KINNEY, ANITA Y. · 2017 to 2021
$3.0M
NCI NIH HHS P30 CA118100NCI NIH HHS R01 CA211625
6 · The paper itself

Abstract

backgroundAlthough national guidelines for cancer genetic risk assessment (CGRA) for hereditary breast and ovarian cancer (HBOC) have been available for over two decades, less than half of high-risk women have accessed these services, especially underserved minority and rural populations. Identification of high-risk individuals is crucial for cancer survivors and their families to benefit from biomedical advances in cancer prevention, early detection, and treatment.

methodsThis paper describes community-engaged formative research and the protocol of the ongoing randomized 3-arm controlled Genetic Risk Assessment for Cancer Education and Empowerment (GRACE) trial. Ethnically and geographically diverse breast and ovarian cancer survivors at increased risk for hereditary cancer predisposition who have not had a CGRA are recruited through the three statewide cancer registries. The specific aims are to: 1) compare the effectiveness of a targeted intervention (TP) vs. a tailored counseling and navigation(TCN) intervention vs. usual care (UC) on CGRA utilization at 6 months post-diagnosis (primary outcome); compare the effectiveness of the interventions on genetic counseling uptake at 12 months after removal of cost barriers (secondary outcome); 2) examine potential underlying theoretical mediating and moderating mechanisms; and 3) conduct a cost evaluation to guide dissemination strategies. DISCUSSION: The ongoing GRACE trial addresses an important translational gap by developing and implementing evidence-based strategies to promote guideline-based care and reduce disparities in CGRA utilization among ethnically and geographically diverse women. If effective, these interventions have the potential to reach a large number of high-risk families and reduce disparities through broad dissemination. TRIAL REGISTRATION NUMBER: NCT03326713; clinicaltrials.gov.

Indexed as

Cancer SurvivorsCounselingPatient NavigationBreast NeoplasmsFemaleGenetic TestingGuideline AdherenceHealthcare DisparitiesHereditary Breast and Ovarian Cancer SyndromeHispanic or LatinoHumansMotivational InterviewingOvarian NeoplasmsRandomized Controlled Trials as TopicRisk AssessmentWhite PeopleAssessment riskGenetic counselingHereditary cancer

Identifiers

PMID30236776
PMCPMC6214814
OpenAlexW2889920557

What OpenQuestion holds

Textmetadata
LicenceTDM
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.