Evidence map›Paper›PMID 36393978›Full record

ArticlePharmacogenomics and personalized medicine2022

Utilizing Pharmacogenomics Results to Determine Opioid Appropriateness and Improve Pain Management in a Patient with Osteoarthritis.

Katie Pizzolato, David Thacker, Nicole Marie Del Toro-Pagán, Nishita S Amin, Abeer Hanna, Jacques Turgeon, Veronique Michaud

Open access · goldAbstract readCase Reports
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Katie PizzolatoTabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA.
David ThackerTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA.
Nicole Marie Del Toro-PagánTabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA.
Nishita S AminTabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA.
Abeer HannaVieCare Butler, Program of All-Inclusive Care for the Elderly (PACE), Butler, PA, 16001, USA.
Jacques TurgeonTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA.
Veronique MichaudTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA.
Research & Development Institute · USUniversité de Montréal · CAVA Butler Healthcare · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The opioid epidemic in the United States has exposed the need for providers to limit opioid dispensing and identify at-risk patients prior to prescribing opioids. With pharmacogenomic testing, clinicians can analyze hundreds of medications-including commonly prescribed opioids-against genetic results to understand and predict risk and response. Moreover, knowledge of genotypic variants and altered function can help decrease trial and error prescribing, identify patients at-risk for adverse drug events, and improve pain control. This patient case demonstrates how pharmacogenomic test results identified drug-gene interactions and provided insight about a patient's inadequate opioid therapy response. With pharmacogenomic information, the patient's healthcare team discontinued opioid therapy and selected a more appropriate regimen for osteoarthritis (ie, celecoxib), resulting in improved pain control and quality of life.

Indexed as

CYP2C9CYP2D6drug–gene interactionsopioidspain managementpharmacogenomics

Identifiers

PMID36393978
PMCPMC9651068
OpenAlexW4308454158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.