Evidence map›Paper›PMID 34063850›Full record

ArticleJournal of personalized medicine2021

Implementation of Pharmacogenomics and Artificial Intelligence Tools for Chronic Disease Management in Primary Care Setting.

Patrick Silva, David Jacobs, John Kriak, Asim Abu-Baker, George Udeani, Gabriel Neal, Kenneth Ramos

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 33 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

7 authors at 1 institution in 1 country.

Patrick SilvaTexas A&M Health Science Center, 8441 Riverside Pkwy, Bryan, TX 77807, USA.ORCID 0000-0002-8870-6440
David JacobsGoldblatt Systems, LLC., 5151 E. Broadway Blvd., Tucson, AZ 85711, USA.
John KriakGoldblatt Systems, LLC., 5151 E. Broadway Blvd., Tucson, AZ 85711, USA.
Asim Abu-BakerTexas A&M Health Science Center, 8441 Riverside Pkwy, Bryan, TX 77807, USA.ORCID 0000-0002-2040-1878
George UdeaniTexas A&M Health Science Center, 8441 Riverside Pkwy, Bryan, TX 77807, USA.ORCID 0000-0001-5797-7849
Gabriel NealTexas A&M Health Science Center, 8441 Riverside Pkwy, Bryan, TX 77807, USA.ORCID 0000-0002-9441-6589
Kenneth RamosTexas A&M Health Science Center, 8441 Riverside Pkwy, Bryan, TX 77807, USA.
Texas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic disease management often requires use of multiple drug regimens that lead to polypharmacy challenges and suboptimal utilization of healthcare services. While the rising costs and healthcare utilization associated with polypharmacy and drug interactions have been well documented, effective tools to address these challenges remain elusive. Emerging evidence that proactive medication management, combined with pharmacogenomic testing, can lead to improved health outcomes and reduced cost burdens may help to address such gaps. In this report, we describe informatic and bioanalytic methodologies that integrate weak signals in symptoms and chief complaints with pharmacogenomic analysis of ~90 single nucleotide polymorphic variants, CYP2D6 copy number, and clinical pharmacokinetic profiles to monitor drug-gene pairs and drug-drug interactions for medications with significant pharmacogenomic profiles. The utility of the approach was validated in a virtual patient case showing detection of significant drug-gene and drug-drug interactions of clinical significance. This effort is being used to establish proof-of-concept for the creation of a regional database to track clinical outcomes in patients enrolled in a bioanalytically-informed medication management program. Our integrated informatic and bioanalytic platform can provide facile clinical decision support to inform and augment medication management in the primary care setting.

Indexed as

artificial intelligencechronic diseaseelectronic medical recordmedication managementpharmacogenomicspolypharmacy

Identifiers

PMID34063850
PMCPMC8224063
OpenAlexW3162684390

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.