Evidence map›Paper›PMID 26483061›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2015

Adoption of Gene Expression Profiling for Breast Cancer in US Oncology Practice for Women Younger Than 65 Years.

Suzanne C O'Neill, Claudine Isaacs, Calvin Chao, Huei-Ting Tsai, Chunfu Liu, Bola F Ekezue, Nandini Selvam, Larry G Kessler, Marc D Schwartz, Tania Lobo and 1 more

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Trends in the Use of Cardiac Imaging for Women with Newly Diagnosed Breast Cancer.Journal of cardiovascular translational research · 2020
    Article
  9. Article
  10. Cost Effectiveness of Gene Expression Profile Testing in Community Practice.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. 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

11 authors.

Suzanne C O'NeillFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Claudine IsaacsFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Calvin ChaoFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Huei-Ting TsaiFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Chunfu LiuFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Bola F EkezueFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Nandini SelvamFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Larry G KesslerFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Marc D SchwartzFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Tania LoboFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.
Arnold L PotoskyFrom Georgetown Lombardi Comprehensive Cancer Center, Washington, DC; Genomic Health, Inc, Redwood City, California; HealthCore, Inc., Wilmington, Delaware; and University of Washington School of Public Health, Seattle, Washington.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Impact of Genomic and Personalized Medicine in Women under 65 with Breast Cancer - SupplementR01CA160671 · NCI · GEORGETOWN UNIVERSITY · PI POTOSKY, ARNOLD L · 2012 to 2016
$1.0M
NCI NIH HHS P30 CA051008NCI NIH HHS P30CA051008NCI NIH HHS R01 CA160671NCI NIH HHS R01CA160671
6 · The paper itself

Abstract

backgroundA number of practice guidelines incorporate the use of gene expression profiling (GEP) tests for early-stage, hormone receptor-positive, HER2-negative breast tumors. Few studies describe factors associated with GEP testing in US oncology practice. We assessed the relationship between clinical, demographic, and group-level socioeconomic variables and test use in women younger than 65 years. PATIENTS AND

methodsData from 5 state cancer registries were linked with insurance claims data and GEP test results. We assessed rates of testing and variables associated with test use in an incident cohort of 9,444 commercially insured women younger than 65 years, newly diagnosed with stage I or II hormone receptor-positive breast cancer from 2006 through 2012.

resultsRates of testing for women with N0 disease increased from 20.4% in 2006 to 35.2% in 2011. Variables associated with higher rates of testing, beyond clinical factors such as nodal status (P<.001), included being diagnosed from 2008 through 2012 versus 2006 through 2007 (adjusted odds ratio [OR], 1.67; 95% CI, 1.47-1.90), having preexisting comorbidities (adjusted OR, 1.35; 95% CI, 1.14-1.59), and higher out-of-pocket pharmacy costs (adjusted OR, 1.66; 95% CI, 1.40-1.97). Women younger than 50 years were more likely to be tested if they had stage I versus stage II disease (P<.0001).

conclusionsIn an insured population of women younger than 65 years, GEP testing increased after its inclusion in clinical practice guidelines and mounting evidence. Additional research is needed to better understand oncologists' decision not to order GEP testing for their patients who are otherwise eligible.

Indexed as

Gene Expression ProfilingAdultBreast NeoplasmsFemaleHumansMiddle AgedPrognosis

Identifiers

PMID26483061
PMCPMC4973473

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.