Evidence map›Paper›PMID 22922173›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA

Clinical decision support for genetically guided personalized medicine: a systematic review.

Brandon M Welch, Kensaku Kawamoto

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03257605 (Implementation of a Pharmacist-Led Pharmacogenomics Service for the Program of All-inclusive Care for the Elderly), which is not on this map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 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.

NCT03257605 completednot on this map

Implementation of a Pharmacist-Led Pharmacogenomics Service for the Program of All-inclusive Care for the Elderly (PHARM-GENOME-PACE)

TypeobservationalSponsorTabula Rasa HealthCareRan2014 to 2017Enrolled296ConditionsPharmacogenomics, Medication Therapy Management
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  2. Pooled it
  3. Effect of genetics clinical decision support tools on health-care providers' decision making: a mixed-methods systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  4. Delivering genomic medicine in the United Kingdom National Health Service: a systematic review and narrative synthesis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
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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

2 authors.

Brandon M WelchDepartment of Biomedical Informatics and Program in Personalized Health Care, University of Utah, Salt Lake City, UT 84092, USA.
Kensaku Kawamoto

Funding

Enabling Personalized Medicine through Clincal Decision SupportK01HG004645 · NHGRI · DUKE UNIVERSITY · PI KAWAMOTO, KENSAKU · 2008 to 2010
$559k
NHGRI NIH HHS K01 HG004645NHGRI NIH HHS K01HG004645
6 · The paper itself

Abstract

objectiveTo review the literature on clinical decision support (CDS) for genetically guided personalized medicine (GPM). MATERIALS AND

methodsMEDLINE and Embase were searched from 1990 to 2011. The manuscripts included were summarized, and notable themes and trends were identified.

resultsFollowing a screening of 3416 articles, 38 primary research articles were identified. Focal areas of research included family history-driven CDS, cancer management, and pharmacogenomics. Nine randomized controlled trials of CDS interventions for GPM were identified, seven of which reported positive results. The majority of manuscripts were published on or after 2007, with increased recent focus on genotype-driven CDS and the integration of CDS within primary clinical information systems. DISCUSSION: Substantial research has been conducted to date on the use of CDS to enable GPM. In a previous analysis of CDS intervention trials, the automatic provision of CDS as a part of routine clinical workflow had been identified as being critical for CDS effectiveness. There was some indication that CDS for GPM could potentially be effective without the CDS being provided automatically, but we did not find conclusive evidence to support this hypothesis.

conclusionTo maximize the clinical benefits arising from ongoing discoveries in genetics and genomics, additional research and development is recommended for identifying how best to leverage CDS to bridge the gap between the promise and realization of GPM.

Indexed as

Decision Support Systems, ClinicalPrecision MedicineBibliometricsBiomedical ResearchHumansNeoplasmsPharmacogenetics

Identifiers

PMID22922173
PMCPMC3638177

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.