Evidence map›Paper›PMID 29374360›Full record

Trial reportJournal of general internal medicine2018

How Primary Care Providers Talk to Patients about Genome Sequencing Results: Risk, Rationale, and Recommendation.

Jason L Vassy, J Kelly Davis, Christine Kirby, Ian J Richardson, Robert C Green, Amy L McGuire, Peter A Ubel

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. GP perspectives on genomics in primary care: a qualitative study on using polygenic risk scores to evaluate cancer risk.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
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.

Jason L VassySection of General Internal Medicine, VA Boston Healthcare System, Boston, MA, USA. jvassy@partners.org.
J Kelly DavisMargolis Center for Health Policy, Duke University, Durham, NC, USA.
Christine KirbyMargolis Center for Health Policy, Duke University, Durham, NC, USA.
Ian J RichardsonDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Robert C GreenDepartment of Medicine, Harvard Medical School, Boston, MA, USA.
Amy L McGuireCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Peter A UbelMargolis Center for Health Policy, Duke University, Durham, NC, USA.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARTIN, CHRISTA LESE, REHM, HEIDI L · 2013 to 2020
$26.9M
Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KATZ, JEFFREY NEIL · 2001 to 2016
$18.8M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Disclosing Genomic Incidental Findings in a Cancer Biobank: An ELSI ExperimentR01CA154517 · NCI · MAYO CLINIC ROCHESTER · PI KOENIG, BARBARA A., PETERSEN, GLORIA M. · 2011 to 2015
$2.7M
Developing a Genomics Literacy MeasureR03HG008809 · NHGRI · MIDDLEBURY COLLEGE · PI LINDERMAN, MICHAEL DAVID · 2016 to 2017
$128k
Clinical safety and efficacy of pharmacogenetics in Veteran careIK2CX001262 · VA · VA BOSTON HEALTH CARE SYSTEM · PI VASSY, JASON L · 2016 to 2021
–
CSRD VA IK2 CX001262NCATS NIH HHS KL2 TR001100NCATS NIH HHS UL1 TR001102NCI NIH HHS R01 CA154517NHGRI NIH HHS L30 HG008668NHGRI NIH HHS R03 HG008809NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U41 HG006834NIAMS NIH HHS P60 AR047782NIA NIH HHS U01 AG024904NICHD NIH HHS U19 HD077671
6 · The paper itself

Abstract

backgroundGenomics will play an increasingly prominent role in clinical medicine.

objectiveTo describe how primary care physicians (PCPs) discuss and make clinical recommendations about genome sequencing results.

designQualitative analysis.

participantsPCPs and their generally healthy patients undergoing genome sequencing. APPROACH: Patients received clinical genome reports that included four categories of results: monogenic disease risk variants (if present), carrier status, five pharmacogenetics results, and polygenic risk estimates for eight cardiometabolic traits. Patients' office visits with their PCPs were audio-recorded, and summative content analysis was used to describe how PCPs discussed genomic results. KEY

resultsFor each genomic result discussed in 48 PCP-patient visits, we identified a "take-home" message (recommendation), categorized as continuing current management, further treatment, further evaluation, behavior change, remembering for future care, or sharing with family members. We analyzed how PCPs came to each recommendation by identifying 1) how they described the risk or importance of the given result and 2) the rationale they gave for translating that risk into a specific recommendation. Quantitative analysis showed that continuing current management was the most commonly coded recommendation across results overall (492/749, 66%) and for each individual result type except monogenic disease risk results. Pharmacogenetics was the most common result type to prompt a recommendation to remember for future care (94/119, 79%); carrier status was the most common type prompting a recommendation to share with family members (45/54, 83%); and polygenic results were the most common type prompting a behavior change recommendation (55/58, 95%). One-fifth of recommendation codes associated with monogenic results were for further evaluation (6/24, 25%). Rationales for these recommendations included patient context, family context, and scientific/clinical limitations of sequencing.

conclusionsPCPs distinguish substantive differences among categories of genome sequencing results and use clinical judgment to justify continuing current management in generally healthy patients with genomic results.

Indexed as

Attitude of Health PersonnelClinical Decision-MakingPhysician-Patient RelationsAdultChromosome MappingFemaleGenetic TestingHumansMalePhysicians, Primary CarePilot ProjectsPrimary Health CareRisk Factorsgenome sequencingmedical decision-makingphysician communication

Identifiers

PMID29374360
PMCPMC5975138

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.