Evidence map›Paper›PMID 24887442›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2014

Improving referral for genetic risk assessment in ovarian cancer using an electronic medical record system.

Sue V Petzel, Rachel Isaksson Vogel, Jena McNiel, Anna Leininger, Peter A Argenta, Melissa A Geller

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Referral, Genetic Counselling, andCurrent oncology (Toronto, Ont.) · 2022
    Article
  7. Interventions to improve delivery of cancer genetics services in the United States: A scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  8. Review
  9. Health Care Provider Perceptions of Caring for Individuals with Inherited Pancreatic Cancer Risk.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Clinical utility of a Web-enabled risk-assessment and clinical decision support program.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
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

6 authors.

Sue V Petzel*Department of Obstetrics, Gynecology and Women's Health, Division of Gynecologic Oncology; †Masonic Cancer Center; and ‡School of Public Health, University of Minnesota, Minneapolis, MN.
Rachel Isaksson Vogel
Jena McNiel
Anna Leininger
Peter A Argenta
Melissa A Geller

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1TR000114NCI NIH HHS P30 CA077598NCI NIH HHS P30 CA77598
6 · The paper itself

Abstract

objectiveWe sought to evaluate an electronic referral form to increase referral for genetic risk assessment of women with newly diagnosed epithelial ovarian cancer.

methodsA form summarizing referral for genetic counseling for women with ovarian cancer was introduced into the electronic medical record allowing gynecologic oncologists to electronically submit a request for genetic services. Analysis compared patient and provider characteristics for women newly diagnosed with ovarian, fallopian tube, and primary peritoneal cancer referred 1 year before and after introducing the form. All patients were seen in a single fee-for-service university-based cancer center clinic.

resultsThere were 86 newly diagnosed ovarian cancer patients seen before and 83 seen after the introduction of the electronic referral form. Most lived in the metropolitan area and had stage III to IV disease, serous histology, a documented family history, and a treating oncologist who was less than 10 years from completion of fellowship. Postintervention referral rates increased from 17% to 30% (P = 0.053). Factors best predicting referral were whether the patient was seen after the intervention (P = 0.009), resided in the metropolitan area (P = 0.006), and had been identified as at high hereditary risk (P < 0.0001). Sixty percent of the referred patients participated in counseling. There were no differences in baseline characteristics of the referred patients before and after the intervention.

conclusionsReferral rates increased with the introduction of an electronic medical record referral form suggesting that streamlining the physician referral process might be effective at increasing referrals for cancer genetic risk assessment.

Indexed as

Genetic CounselingReferral and ConsultationAdultAgedAged, 80 and overCystadenocarcinoma, SerousElectronic Health RecordsFemaleFollow-Up StudiesGenetic Predisposition to DiseaseHumansMiddle AgedOvarian NeoplasmsPeritoneal NeoplasmsPrognosisRetrospective Studies

Identifiers

PMID24887442
PMCPMC4596256

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Registered trials

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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.