Evidence map›Paper›PMID 28224383›Full record

ArticleBreast cancer research and treatment2017

Oncologist and organizational factors associated with variation in breast cancer multigene testing.

Tracy A Lieu, G Thomas Ray, Stephanie R Prausnitz, Laurel A Habel, Stacey Alexeeff, Yan Li, Scott D Ramsey, Charles E Phelps, Neetu Chawla, Suzanne C O'Neill and 1 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The leadership behaviors needed to implement clinical genomics at scale: a qualitative study.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  6. Article
  7. Article
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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

11 authors.

Tracy A LieuDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA. tracy.lieu@kp.org.ORCID http://orcid.org/0000-0002-3516-4617
G Thomas RayDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Stephanie R PrausnitzDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Laurel A HabelDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Stacey AlexeeffDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Yan LiDepartment of Oncology, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Scott D RamseyFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Charles E PhelpsUniversity of Rochester, Rochester, NY, USA.
Neetu ChawlaDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA.
Suzanne C O'NeillDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Jeanne S MandelblattDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.

Funding

The HMO Cancer Research Network (CRN)U19CA079689 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI WAGNER, EDWARD H · 1999 to 2011
$62.6M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Research ProjectU54CA153499 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, MOON SHAO-CHUANG, CHOW, EDWARD A. · 2010 to 2015
$6.7M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Optimizing Personalized Care Using Economic Studies of Genomic Testing: Supporting Patient-ProviderU01CA183081 · NCI · GEORGETOWN UNIVERSITY · PI LIEU, TRACY A, MANDELBLATT, JEANNE · 2013 to 2017
$2.6M
Comparative effectiveness in genomic & personalized medicine for colon cancerUC2CA148471 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GODDARD, KATRINA A., KUSHI, LAWRENCE H · 2010 to 2010
$2.0M
NCI NIH HHS R01 CA105274NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA183081NCI NIH HHS U01 CA199218NCI NIH HHS U19 CA079689NCI NIH HHS U24 CA171524NCI NIH HHS U54 CA153499NCI NIH HHS UC2 CA148471
6 · The paper itself

Abstract

purposeMultigene testing for breast cancer recurrence risk became available in 2007, yet many eligible patients remain untested. This study evaluated variation in testing rates, and oncologist and organizational factors associated with variation, in a setting without financial influences on testing.

methodsWe conducted a retrospective cohort study using electronic data and oncologist surveys within Kaiser Permanente Northern California, a large integrated health care system. Analyses included all 2974 test eligible patients from 2013 to 2015, 113 oncologists, and 15 practice groups. Receipt of multigene testing was evaluated with generalized linear mixed models.

resultsOverall, 39% of eligible patients had multigene testing, but rates varied widely among practice groups, ranging from 24 to 48% after case mix adjustment. This 24% difference among practices was greater than the variation associated with most patient characteristics, including comorbidities and race/ethnicity, and similar to that associated with tumor size. Practice group and oncologist factors were statistically significant contributors to the variation in testing after adjusting for patient factors. Patients were more likely to be tested if they had a female oncologist (aOR 1.60, 95% CI 1.21-2.12) or were in a practice whose chief had a high testing rate (aOR 1.20, 95% CI 1.12-1.29 per 10% increase in the percent tested).

conclusionsOncologist and leadership practices play a key role in the variation in genomic test use for cancer recurrence risk even in a healthcare system without financial barriers to testing and could be a leverage point for implementing desired practice changes for new genomic advances.

Indexed as

AgedBreast NeoplasmsCaliforniaDelivery of Health Care, IntegratedFemaleGenetic TestingHumansMiddle AgedNeoplasm Recurrence, LocalOncologistsPractice Patterns, Physicians'Retrospective StudiesGenetic testingGenomicsPractice changePractice variationRecurrence risk

Identifiers

PMID28224383
PMCPMC5394102

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.