Evidence map›Paper›PMID 25933682›Full record

ArticleGynecologic oncology2015

Adherence patterns to National Comprehensive Cancer Network (NCCN) guidelines for referral to cancer genetic professionals.

Terri Febbraro, Katina Robison, Jennifer Scalia Wilbur, Jessica Laprise, Amy Bregar, Vrishali Lopes, Robert Legare, Ashley Stuckey

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  6. The Genetic Education for Men (GEM) Trial: Development of Web-Based Education for Untested Men in BRCA1/2-Positive Families.Journal of cancer education : the official journal of the American Association for Cancer Education · 2021
    Trial
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  9. Nonadherence to guidelines for genetic testing in families with ovarian cancer shows racial bias.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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  19. Referral, Genetic Counselling, andCurrent oncology (Toronto, Ont.) · 2022
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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

8 authors at 1 institution in 1 country.

Terri FebbraroWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA. Electronic address: Terri.Febbraro@uchospitals.edu.
Katina RobisonWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Program in Women's Oncology, USA.
Jennifer Scalia WilburWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Program in Women's Oncology, USA.
Jessica LapriseWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Program in Women's Oncology, USA.
Amy BregarWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Vrishali LopesWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Division of Research, USA.
Robert LegareWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Program in Women's Oncology, USA.
Ashley StuckeyWomen and Infants, Warren Alpert Medical School of Brown University, Providence, RI, USA; Program in Women's Oncology, USA.
Brown University · US

Funding

Brown/WIH Women's Reproductive Health Research Career Development ProgramK12HD050108 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI HAMPTON, BRITTANY STAR · 2005 to 2019
$4.1M
NICHD NIH HHS K12 HD050108
6 · The paper itself

Abstract

objectiveGenetic predisposition is responsible for 5-10% of breast cancer, 10% of ovarian cancer and 2-5% of uterine cancer. The study objective was to compare genetic counseling and testing referral rates among women with breast cancer that met NCCN referral guidelines to the referral rates among women with gynecologic cancers and determine predictors of referral.

methodsUtilizing an institutional tumor registry database, patients from an academic women's oncology program were identified who met a subset of NCCN guidelines for genetic referral between 2004 and 2010. Patients diagnosed with ovarian cancer, breast cancer ≤50years of age, or uterine cancer <50years of age were included. A retrospective electronic chart review was conducted to evaluate for a genetic referral and uptake of genetic testing.

results820 women were included (216 uterine, 314 breast, and 290 ovarian cancer). The overall genetic referral rate was 21.7%. 34% of eligible breast cancer patients were referred compared to 13.4% of uterine cancer and 14.5% of ovarian cancer patients (p<0.0001). Younger age, breast cancer diagnosis, family history and earlier stage were all significant referral predictors. The odds of being referred increased with the number of affected family members. 70.8% of referred patients, consulted with genetics. Among those who consulted with genetics, 95.2% underwent testing.

conclusionsAlthough increasing, genetic counseling remains underutilized across cancer diagnosis. Women with breast cancer are more likely to be referred than women with gynecologic cancers. Younger age, earlier stage and positive family history appear to be predictive of referral for genetic evaluation.

Indexed as

Genetic CounselingGenetic TestingGuideline AdherenceBreast NeoplasmsFallopian Tube NeoplasmsFemaleGenetic Predisposition to DiseaseGenital Neoplasms, FemaleHumansMiddle AgedOvarian NeoplasmsReferral and ConsultationRegistriesRetrospective StudiesUterine NeoplasmsGenetic counselingHereditary cancerPractice patterns

Identifiers

PMID25933682
PMCPMC4868086
OpenAlexW2077915090

What OpenQuestion holds

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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.