Evidence map›Paper›PMID 33455068›Full record

ArticleCancer medicine2021

Surgeon and medical oncologist peer network effects on the uptake of the 21-gene breast cancer recurrence score assay.

Ronnie Zipkin, Andrew Schaefer, Mary Chamberlin, Tracy Onega, Alistair J O'Malley, Erika L Moen

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ronnie ZipkinDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.ORCID 0000-0001-7616-8318
Andrew SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Mary ChamberlinDepartment of Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Tracy OnegaThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.ORCID 0000-0002-1633-3040
Alistair J O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
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
UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Leila S. Agha · 2001 to 2026
$52.9M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
NCI NIH HHS P30 CA023108NIA NIH HHS P01 AG019783NIGMS NIH HHS P20 GM104416
6 · The paper itself

Abstract

backgroundDrivers behind the adoption of gene expression profiling in breast cancer oncology have been shown to include exposure to physician colleagues' use of a given genomic test. We examined adoption of the Oncotype DX 21-gene breast cancer recurrence score assay (ODX) in the United States after its incorporation into clinical guidelines. The influence of patient-sharing ties and co-location with prior adopters and the role of these potential exposures across medical specialties on peers' adoption of the test were examined.

methodsWe conducted a retrospective cohort study of women with incident breast cancer using a 100% sample of fee-for-service Medicare enrollee claims over 2008-2011. Peer networks connecting medical oncologists and surgeons treating these patients were constructed using patient-sharing and geographic co-location. The impact of peer connections on the adoption of ODX by physicians and testing of patients was modeled with multivariable hierarchical regression.

resultsAltogether, 156,229 women identified with incident breast cancer met criteria for cohort inclusion. A total of 7689 ODX prescribing physicians were identified. Co-location with medical oncologists who adopted the test in the early period (2008-2009) was associated with a 1.38-fold increase in the odds of a medical oncologist adopting ODX in 2010-2011 (95% CI = 1.04-1.83), as was co-location with early-adopting surgeons (odds ratio [OR] = 1.25, 95% CI = 1.00-1.58). Patients whose primary medical oncologist was linked to an early-adopting surgeon through co-location (OR = 1.17, 95% CI = 1.04-1.32) or both patient-sharing and co-location (OR = 1.17, 95% CI = 1.03-1.34) were more likely to receive ODX.

conclusionsExposure to surgeon early adopters through peer networks and co-location was predictive of ODX uptake by medical oncologists and testing of patients. Interventions focused on the role of surgeons in molecular testing may improve the implementation of best practices in breast cancer care.

Indexed as

AgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsFemaleGene Expression ProfilingHumansMedicareNeoplasm Recurrence, LocalOncologistsPeer GroupPrecision MedicineRetrospective StudiesSurgeonsUnited StatesBiomarkers, Tumorbreast cancergenetic testingmedicareoncologistssurgeons

Identifiers

PMID33455068
PMCPMC7926024
OpenAlexW3123613995

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.