Evidence map›Paper›PMID 36068474›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Pharmacogenomics of Opioid Treatment for Pain Management.

Sarahbeth Howes, Alexandra R Cloutet, Jaeyeon Kweon, Taylor L Powell, Daniel Raza, Elyse M Cornett, Alan D Kaye

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
4.4field-weighted citation impact, top 7% 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 1 country.

Sarahbeth HowesLSU Health Shreveport, Shreveport, LA, USA.
Alexandra R CloutetLSU Health Shreveport, Shreveport, LA, USA.
Jaeyeon KweonLSUHSC New Orleans, New Orleans, LA, USA.
Taylor L PowellLSU Health Shreveport, Shreveport, LA, USA.
Daniel RazaTulane School of Medicine, New Orleans, LA, USA.
Elyse M CornettDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA. elyse.braldley@lsuhs.edu.
Alan D KayeDepartments of Anesthesiology and Pharmacology, Toxicology and Neurosciences, LSU Health Shreveport, Shreveport, LA, USA.
Louisiana State University Health Sciences Center Shreveport · USLouisiana State University Health Sciences Center New Orleans · USTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain affects approximately 100 million Americans. Pain harms quality of life and costs patients billions of dollars per year. Clinically, nonpharmacologic and pharmacologic therapies can alleviate acute and chronic pain suffering. Opioids are one type of medication used to manage pain. However, opioids can potentially create dependence and substance abuse, and the effects are not consistent in all patients. Pharmacogenomics is the study of the genome to understand the effects of drugs on individual patients based on their genetic information. Through pharmacogenomics, researchers can investigate genetic polymorphisms related to pain that maximize individual patient drug responses and minimize toxicity. This chapter discusses the pharmacogenomics of opioids to treat pain, including individual genetic differences to opioid treatments, opioid pharmacokinetics and pharmacodynamics, and the genetic polymorphisms associated with individual opioid medications.

Indexed as

Analgesics, OpioidChronic PainHumansPain ManagementPharmacogeneticsQuality of LifeUnited StatesAnalgesics, OpioidAcute painChronic painOpioidsPain managementPharmacogeneticsPharmacogenomicsPrecision medicine

Identifiers

PMID36068474
OpenAlexW4294804681

What Socratic holds

Textmetadata
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 Socratic graph.