Evidence map›Paper›PMID 30130477›Full record

ArticleJournal of health communication2018

Multilevel Influences on Patient-Oncologist Communication about Genomic Test Results: Oncologist Perspectives.

Suzanne C O'Neill, Kathryn L Taylor, Jonathan Clapp, Jinani Jayasekera, Claudine Isaacs, Deena Mary Atieh Graham, Stuart L Goldberg, Jeanne Mandelblatt

Abstract read
In one paragraph

Article in Journal of health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Suzanne C O'Neilla Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.
Kathryn L Taylora Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.
Jonathan Clappa Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.
Jinani Jayasekeraa Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.
Claudine Isaacsa Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.
Deena Mary Atieh Grahamb John Theurer Cancer Center , Hackensack University Medical Center , Hackensack , New Jersey , USA.
Stuart L Goldbergc COTA, Inc ., New York , New York , USA.
Jeanne Mandelblatta Lombardi Comprehensive Cancer Center , Georgetown University Medical Center , Washington , DC , USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Optimizing Personalized Care Using Economic Studies of Genomic Testing: Supporting Patient-ProviderU01CA183081 · NCI · GEORGETOWN UNIVERSITY · PI LIEU, TRACY A, MANDELBLATT, JEANNE · 2013 to 2017
$2.6M
NCI NIH HHS P30 CA051008NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA183081
6 · The paper itself

Abstract

Thousands of women with early-stage breast cancer receive gene-expression profile (GEP) tests to guide chemotherapy decisions. However, many patients report a poor understanding of how their test results inform treatment decision-making. We applied models of patient-centered communication and informed decision-making to assess which variables oncologists' perceive as most influential to effective communication with their patients about GEP results and intervention modalities and approaches that could support more effective conversations about treatment decisions in routine clinical care. Medical oncologists who were part of a practice group in the mid-Atlantic US completed an online, cross-sectional survey in 2016. These data were merged with de-identified electronic patient and practice data. Of the 83 oncologists contacted, 29 completed the survey (35% response rate, representing 52% of the test-eligible patients in the practice network). There were no significant differences between survey responders and nonresponders. Oncologists reported patient-related variables as most influential, including performance status (65.5%), pretesting preferences for chemotherapy (55.2%), and comprehension of complex test results (55.2%). Oncologists endorsed their experience with testing (58.6%) and their own confidence in using the test results (48.3%) as influential as well. They indicated that a clinical decision support tool incorporating patient comorbidities, age, and potential benefits from chemotherapy would support their own practice and that they could share these results and other means of communication support using print materials (79.3%) with their patients in clinic (72.4%). These preferred intervention characteristics could be integrated into routine care, ultimately facilitating more effective communication about genomic testing (such as GEP) and its role in treatment selection.

Indexed as

Attitude of Health PersonnelCommunicationGenetic TestingPhysician-Patient RelationsBreast NeoplasmsCross-Sectional StudiesDecision MakingFemaleHumansMaleMiddle AgedOncologistsSurveys and QuestionnairesUnited States

Identifiers

PMID30130477
PMCPMC6310162

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.