ArticleJournal of genetic counseling2013
Genetic risk assessment for women with epithelial ovarian cancer: referral patterns and outcomes in a university gynecologic oncology clinic.
Article in Journal of genetic counseling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Achieving universal genetic assessment for women with ovarian cancer: Are we there yet? A systematic review and meta-analysis.Gynecologic oncology · 2021Pooled it
- A patient-centered mobile health application to motivate use of genetic counseling among women with ovarian cancer: A pilot randomized controlled trial.Gynecologic oncology · 2019Trial
- Bridging the gap between guidelines and practice: genetic counseling uptake and barriers in patients with ovarian malignancies.BMC women's health · 2026Article
- Feasibility and acceptability of an electronic decision aid for genetic testing in ovarian and pancreatic cancer patients.Research connections · 2026Article
- Differential Receipt of Genetic Services Among Patients With Gynecologic Cancer and Their Relatives: A Review of Challenges to Health Equity.Clinical obstetrics and gynecology · 2024Review
- Referral, Genetic Counselling, andCurrent oncology (Toronto, Ont.) · 2022Article
- Leveraging an Informatics Approach to Identify an Unmet Clinical Need forJCO clinical cancer informatics · 2022Article
- Racial and Ethnic Disparities in Germline Genetic Testing of Patients With Young-Onset Colorectal Cancer.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022Article
- How can Australia integrate routine genetic sequencing in oncology: a qualitative study through an implementation science lens.Genetics in medicine : official journal of the American College of Medical Genetics · 2020Article
- What men want: Qualitative analysis of what men with prostate cancer (PCa) want to learn regarding genetic referral, counseling, and testing.The Prostate · 2020Article
- Genetic counseling referral for ovarian cancer patients: a call to action.Familial cancer · 2019Article
- Low Referral Rate for Genetic Testing in Racially and Ethnically Diverse Patients Despite Universal Colorectal Cancer Screening.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2018Article
- A qualitative study of barriers to genetic counseling and potential for mobile technology education among women with ovarian cancer.Hereditary cancer in clinical practice · 2018Article
- Young Israeli women with epithelial ovarian cancer: prevalence of BRCA mutations and clinical correlates.Journal of gynecologic oncology · 2017Article
- Traceback: A Proposed Framework to Increase Identification and Genetic Counseling of BRCA1 and BRCA2 Mutation Carriers Through Family-Based Outreach.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017Article
- Article
- Adherence patterns to National Comprehensive Cancer Network (NCCN) guidelines for referral to cancer genetic professionals.Gynecologic oncology · 2015Article
- The value of a genetic counselor: improving identification of cancer genetic counseling patients with chart review.Journal of genetic counseling · 2014Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Little is known about genetic service utilization and ovarian cancer. We identified the frequency and outcome of genetic counseling referral, predictors of referral, and referral uptake for ovarian cancer patients. Using pathology reports, we identified all epithelial ovarian cancer patients seen in a university gynecologic oncology clinic (1/04-8/06). Electronic medical records (EMR) were used to document genetic service referral, time from diagnosis-to-referral, point-in-treatment at referral, personal/family cancer history, demographics, and genetic test results. Groups were compared using chi-squared and Fisher's exact test for categorical variables and t-tests for continuous variables. The study population consisted of 376 women with ovarian cancer, 72 (19 %) of who were referred for genetic counseling/testing, primarily during surveillance. Of those referred, 42 (58 %) had personal or family genetic counseling and 34 (47 %) were ultimately tested or identified due to known family mutation. Family history and prior cancer were associated with referral. Family history, living in a larger community, higher-stage disease, and serous histology were associated with undergoing genetic counseling. Risk assessment identified 20 BRCA1/2 (5.3 %) and 1 HNPCC (0.3 %) mutation carriers. Based on recent estimates that 11.7-16.6 % of women with ovarian cancer are BRCA carriers and 2 % are HNPCC carriers, results suggest under-identification of carriers and under-utilization of genetic services by providers and patients. Interventions to increase medical providers' referrals, even in a specialized oncology clinic, are necessary and may include innovations in educating these providers using web-based methods. Ease of referral by the introduction of an electronic cancer genetic referral form represents another new direction that may increase genetic risk assessment for high-risk women with ovarian cancer.
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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.