Evidence map›Paper›PMID 32883270›Full record

ArticleBMC cancer2020

Patient and physician factors associated with Oncotype DX and adjuvant chemotherapy utilization for breast cancer patients in New Hampshire, 2010-2016.

Thomas M Schwedhelm, Judy R Rees, Tracy Onega, Ronnie J Zipkin, Andrew Schaefer, Maria O Celaya, Erika L Moen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. 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
0.5field-weighted citation impact, top 43% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Disparities in OncotypeDx Testing and Subsequent Chemotherapy Receipt by Geography and Socioeconomic Status.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

7 authors at 2 institutions in 1 country.

Thomas M SchwedhelmDepartment of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Judy R ReesNew Hampshire State Cancer Registry, Lebanon, NH, USA.
Tracy OnegaDepartment of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Ronnie J ZipkinDepartment of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
Andrew SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Maria O CelayaNew Hampshire State Cancer Registry, Lebanon, NH, USA.
Erika L MoenDepartment of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA. Erika.L.Moen@dartmouth.edu.ORCID http://orcid.org/0000-0002-9800-8742
Dartmouth College · USDartmouth Institute for Health Policy and Clinical Practice · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI SALAS DIAZ, LUCAS A · 2013 to 2022
$23.7M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM104416NIGMS NIH HHS P20GM104416
6 · The paper itself

Abstract

backgroundOncotype DX® (ODX) is used to assess risk of disease recurrence in hormone receptor positive, HER2-negative breast cancer and to guide decisions regarding adjuvant chemotherapy. Little is known about how physician factors impact treatment decisions. The purpose of this study was to examine patient and physician factors associated with ODX testing and adjuvant chemotherapy for breast cancer patients in New Hampshire.

methodsWe examined New Hampshire State Cancer Registry data on 5630 female breast cancer patients diagnosed from 2010 to 2016. We performed unadjusted and adjusted hierarchical logistic regression to identify factors associated with a patient's receipt of ODX, being recommended and receiving chemotherapy, and refusing chemotherapy. We calculated intraclass correlation coefficients (ICCs) to examine the proportion of variance in clinical decisions explained by between-physician and between-hospital variation.

resultsOver the study period, 1512 breast cancer patients received ODX. After adjustment for patient and tumor characteristics, we found that patients seen by a male medical oncologist were less likely to be recommended chemotherapy following ODX (OR = 0.50 (95% CI = 0.34-0.74), p < 0.01). Medical oncologists with more clinical experience (reference: less than 10 years) were more likely to recommend chemotherapy (20-29 years: OR = 4.05 (95% CI = 1.57-10.43), p < 0.01; > 29 years: OR = 4.48 (95% CI = 1.68-11.95), p < 0.01). A substantial amount of the variation in receiving chemotherapy was due to variation between physicians, particularly among low risk patients (ICC = 0.33).

conclusionsIn addition to patient clinicopathologic characteristics, physician gender and clinical experience were associated with chemotherapy treatment following ODX testing. The significant variation between physicians indicates the potential for interventions to reduce variation in care.

Indexed as

RegistriesAgedBreast NeoplasmsChemotherapy, AdjuvantClinical Decision-MakingCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNeoplasm Recurrence, LocalNew HampshireOncologistsPatient Acceptance of Health CareRisk FactorsAdjuvant chemotherapyBreast cancerOncotype DX

Identifiers

PMID32883270
PMCPMC7650301
OpenAlexW3083504002

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.