Evidence map›Paper›PMID 27981566›Full record

ArticleClinical pharmacology and therapeutics2017

Patient Perceptions of Care as Influenced by a Large Institutional Pharmacogenomic Implementation Program.

R P McKillip, B A Borden, P Galecki, S A Ham, L Patrick-Miller, J P Hall, S Hussain, K Danahey, M Siegler, M J Sorrentino and 13 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Pooled it
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Review
  11. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Pharmacogenetic Decision Support Tools: A New Paradigm for Late-Life Depression?The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2018
    Review
  17. 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

23 authors.

R P McKillipThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA.
B A BordenCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
P GaleckiCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
S A HamThe Center for Health and the Social Sciences, The University of Chicago, Chicago, Illinois, USA.
L Patrick-MillerDepartment of Medicine, The University of Chicago, Chicago, Illinois, USA.
J P HallCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
S HussainCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
K DanaheyCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
M SieglerCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
M J SorrentinoCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
Y SacroCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
A M DavisCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
D T RubinCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
K LipstreuerCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
T S PolonskyCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
R NandaCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
W R HarperCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
J L KoynerCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
D L BurnetCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
W M StadlerCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
M J RatainCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.
D O MeltzerThe Center for Health and the Social Sciences, The University of Chicago, Chicago, Illinois, USA.
P H O'DonnellCenter for Personalized Therapeutics, The University of Chicago, Chicago, Illinois, USA.

Funding

Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MARSHALL H CHIN · 2011 to 2026
$10.0M
Short Term Training: Health Professional StudentsT35DK062719 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2003 to 2017
$2.9M
The 1200 Patients Project: Studying Clinical Implementation of PharmacogenomicsK23GM100288 · NIGMS · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2013 to 2016
$751k
NHLBI NIH HHS U01 HL105198NIDDK NIH HHS P30 DK092949NIDDK NIH HHS T35 DK062719NIGMS NIH HHS K23 GM100288
6 · The paper itself

Abstract

Despite growing clinical use of genomic information, patient perceptions of genomic-based care are poorly understood. We prospectively studied patient-physician pairs who participated in an institutional pharmacogenomic implementation program. Trust/privacy/empathy/medical decision-making (MDM)/personalized care dimensions were assessed through patient surveys after clinic visits at which physicians had access to preemptive pharmacogenomic results (Likert scale, 1 = minimum/5 = maximum; mean [SD]). From 2012-2015, 1,261 surveys were issued to 507 patients, with 792 (62.8%) returned. Privacy, empathy, MDM, and personalized care scores were significantly higher after visits when physicians considered pharmacogenomic results. Importantly, personalized care scores were significantly higher after physicians used pharmacogenomic information to guide medication changes (4.0 [1.4] vs. 3.0 [1.6]; P < 0.001) compared with prescribing visits without genomic guidance. Multivariable modeling controlling for clinical factors confirmed personalized care scores were more favorable after visits with genomic-influenced prescribing (odds ratio [OR] = 3.26; 95% confidence interval [CI] = (1.31-8.14); P < 0.05). Physicians seem to individualize care when utilizing pharmacogenomic results and this decision-making augmentation is perceived positively by patients.

Indexed as

Physician-Patient RelationsPractice Patterns, Physicians'Attitude to HealthClinical Decision-MakingDecision Support Systems, ClinicalFemaleHumansMaleMiddle AgedPharmacogeneticsPharmacogenomic TestingPrecision MedicineSocial PerceptionUnited States

Identifiers

PMID27981566
PMCPMC5474215

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.