Evidence map›Paper›PMID 32028617›Full record

ArticleCancers2020

Oncology Clinic-Based Hereditary Cancer Genetic Testing in a Population-Based Health Care System.

Matthew Richardson, Hae Jung Min, Quan Hong, Katie Compton, Sze Wing Mung, Zoe Lohn, Jennifer Nuk, Mary McCullum, Cheryl Portigal-Todd, Aly Karsan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Systematic evidence review and meta-analysis of outcomes associated with cancer genetic counseling.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
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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

14 authors at 2 institutions in 1 country.

Matthew RichardsonInterdisciplinary Oncology Program, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Hae Jung MinHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Quan HongHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Katie ComptonHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Sze Wing MungHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Zoe LohnHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Jennifer NukHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Mary McCullumHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Cheryl Portigal-ToddHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Aly KarsanDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 2B5, Canada.
Dean RegierDepartment of School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Lori A BrottoDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of British Columbia, Vancouver, BC V6Z 2K8, Canada.
Sophie SunHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
Kasmintan A SchraderHereditary Cancer Program, BC Cancer, Vancouver, BC V5Z 1K1, Canada.
BC Cancer Agency · CAUniversity of British Columbia · CA

Funding

Canada's Michael Smith Genome Sciences Centre ID5892CIHR MC2-139146
6 · The paper itself

Abstract

New streamlined models for genetic counseling and genetic testing have recently been developed in response to increasing demand for cancer genetic services. To improve access and decrease wait times, we implemented an oncology clinic-based genetic testing model for breast and ovarian cancer patients in a publicly funded population-based health care setting in British Columbia, Canada. This observational study evaluated the oncology clinic-based model as compared to a traditional one-on-one approach with a genetic counsellor using a multi-gene panel testing approach. The primary objectives were to evaluate wait times and patient reported outcome measures between the oncology clinic-based and traditional genetic counselling models. Secondary objectives were to describe oncologist and genetic counsellor acceptability and experience. Wait times from referral to return of genetic testing results were assessed for 400 patients with breast and/or ovarian cancer undergoing genetic testing for hereditary breast and ovarian cancer from June 2015 to August 2017. Patient wait times from referral to return of results were significantly shorter with the oncology clinic-based model as compared to the traditional model (403 vs. 191 days;

Indexed as

genetic counsellinggenetic testinghereditary cancerpatient reported outcome measures

Identifiers

PMID32028617
PMCPMC7072228
OpenAlexW3003336417

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.