ArticleThe American journal of managed care2016
Breast cancer multigene testing trends and impact on chemotherapy use.
Article in The American journal of managed care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed.
- Analyzing Precision Medicine Utilization with Real-World Data: A Scoping Review.Journal of personalized medicine · 2022Article
- Article
- EndoPredictBreast cancer research and treatment · 2020Article
- Simulation of Chemotherapy Effects in Older Breast Cancer Patients With High Recurrence Scores.Journal of the National Cancer Institute · 2020Article
- Expected Monetary Impact of Oncotype DX Score-Concordant Systemic Breast Cancer Therapy Based on the TAILORx Trial.Journal of the National Cancer Institute · 2020Article
- The impact of gene expression profile testing on confidence in chemotherapy decisions and prognostic expectations.Breast cancer research and treatment · 2019Article
- Cost Effectiveness of Gene Expression Profile Testing in Community Practice.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018Article
- Oncologist and organizational factors associated with variation in breast cancer multigene testing.Breast cancer research and treatment · 2017Article
- Chemotherapy decisions and patient experience with the recurrence score assay for early-stage breast cancer.Cancer · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesA 21-gene test that predicts recurrence risk among women with hormone receptor positive (HR+), localized breast cancer was nationally recommended in 2007, but we know little about its subsequent impact. We evaluated: a) patient characteristics associated with test use, b) correlations between Recurrence Score (RS) and chemotherapy, and c) whether test introduction was associated with a reduction in chemotherapy use. STUDY
designRetrospective cohort study.
methodsThe Kaiser Permanente Northern California tumor registry and electronic health records from 2005 to 2012 were used to identify HR+, human epidermal growth factor receptor 2 negative, node-negative cancers. Analyses used logistic regression with propensity score matching and 2-level logistic regression.
resultsOf the 7004 patients who met guidelines for testing, 22% were tested and 26% had chemotherapy. Test use was more likely in younger women (for ages 40-49 years vs 50-64 years: odds ratio [OR], 1.22; 95% CI, 1.04-1.44), in women with tumors sized 1.0 to 2.0 cm versus > 2 cm (OR, 1.20; 95% CI, 1.03-1.40), and in women from higher-income neighborhoods (for each $10,000 increase in area median income: OR, 1.05; 95% CI, 1.03-1.07). Among patients with low RS, 8% had chemotherapy versus 72% among patients with high RS (P < .01). In propensity score-matched analyses, testing was associated with an absolute reduction of 6.2% in the proportion of women receiving chemotherapy (95% CI, 2.9%-9.5%); the 2-level model showed a similar but nonsignificant (P = .14) association.
conclusionsThe 21-gene test is used in a minority of eligible patients in this integrated plan. Its use appears to be associated with a modest decrease in overall chemotherapy use.
Indexed as
Identifiers
27266581PMC4940166What OpenQuestion holds
Registered trials
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.