Evidence map›Paper›PMID 32521056›Full record

ArticleCancer2020

Propensity score analysis of the prognostic value of genomic assays for breast cancer in diverse populations using the National Cancer Data Base.

Abiola Ibraheem, Olufunmilayo I Olopade, Dezheng Huo

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  13. Addressing Social Determinants in the Era of Precision Medicine in Breast Cancer: Is It Sufficient to Reduce Disparities?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 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

3 authors at 2 institutions in 1 country.

Abiola IbraheemSection of Hematology and Oncology, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois, USA.
Olufunmilayo I OlopadeSection of Hematology and Oncology, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois, USA.
Dezheng HuoSection of Hematology and Oncology, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-4041-1678
University of Chicago · USChicago Department of Public Health · US

Funding

Developing an Oncology Workforce for the 21st Century - Renewal 01K12CA139160 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F., SMITH, SONALI · 2010 to 2024
$10.6M
UChicago Interdisciplinary Cancer Health Disparities SPOREP20CA233307 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG, NANDA, RITA · 2018 to 2020
$3.4M
NCI NIH HHS K12 CA139160NCI NIH HHS P20 CA233307
6 · The paper itself

Abstract

backgroundGenomic assays such as Oncotype Dx (ODX) and MammaPrint are used for risk-adapted treatment decisions among patients with early breast cancer. However, to the authors' knowledge, concordance between genomic assays is modest. Using real-world data, the authors performed a comparative analysis of ODX and MammaPrint.

methodsA cohort of women diagnosed with early-stage, hormone receptor-positive breast cancer who received ODX or MammaPrint was established using the National Cancer Data Base (NCDB) for 2010 through 2016. Using the propensity score matching method, 2 groups of patients with similar clinical and demographic characteristics were defined: one group received ODX and the other received MammaPrint. The authors examined the association between use of the ODX or MammaPrint assays and overall survival using Cox models.

resultsOf the 451,693 eligible patients, approximately 45.3% received ODX and 1.8% received MammaPrint testing. The use of ODX increased from 36.1% in 2010 to 49.9% in 2016, whereas use of MammaPrint increased from 0.5% in 2010 to 3.3% in 2016. The authors matched 5042 patients who received ODX with 5042 patients who received MammaPrint. The 5-year risks of death for the MammaPrint low-risk group and the ODX low-risk group were 3.4% and 4.7%, respectively. The prognostic value of MammaPrint was similar to that of ODX; the C-index was 0.614 (95% confidence interval, 0.572-0.657) for MammaPrint and 0.581 (95% confidence interval, 0.530-0.631) for ODX. There was a difference in the performance of the ODX assay observed across racial and/or ethnic groups (P < .001), with a slightly better performance noted among white compared with African American and Hispanic individuals.

conclusionsBoth the ODX and MammaPrint tests are good at identifying low-risk individuals who could be spared chemotherapy. The suboptimal performance of ODX in ethnic minority individuals deserves further investigation.

Indexed as

GenomicsPrognosisBlack or African AmericanBreast NeoplasmsFemaleGenome, HumanHispanic or LatinoHumansPredictive Value of TestsPropensity ScoreProportional Hazards ModelsRisk Factorsbiomarkerbreast cancerendocrine receptorgenomic assayracial disparity

Identifiers

PMID32521056
PMCPMC7423613
OpenAlexW3033904527

What OpenQuestion holds

Textmetadata
LicenceTDM
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.