Evidence map›Paper›PMID 36068475›Full record

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

The Role of Pharmacogenomics in Postoperative Pain Management.

E Paylor Sachtleben, Kelsey Rooney, Hannah Haddad, Victoria L Lassiegne, Megan Boudreaux, 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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
17.6field-weighted citation impact, top 1% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Do Diabetes and Genetic Polymorphisms in theJournal of clinical medicine · 2025
    Article
  4. The Effect ofIn vivo (Athens, Greece)
    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

7 authors at 4 institutions in 1 country.

E Paylor SachtlebenLSU Health Shreveport, Shreveport, LA, USA.
Kelsey RooneyLSU Health Shreveport, Shreveport, LA, USA.
Hannah HaddadKansas City University of Medicine and Biosciences, Kansas City, MO, USA.
Victoria L LassiegneLSUHSC School of Medicine New Orleans, New Orleans, LA, USA.
Megan BoudreauxSchool of Medicine, Louisiana State University Shreveport, Shreveport, LA, USA.
Elyse M CornettDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA. elyse.cornett@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 · USKansas City University · USLouisiana State University Health Sciences Center New Orleans · USLouisiana State University in Shreveport · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics can improve pain management by considering individual variations in pain perception and susceptibility and sensitivity to medicines related to genetic diversity. Due to the subjective nature of pain and the fact that people respond differently to medicines, it can be challenging to develop a consistent and successful regimen for pain disorders. Numerous factors influence the outcome of pain treatment programs, but two stand out: altered perception of pain and varying responsiveness to analgesic medicines. Numerous polymorphisms in genes such as CYP2D6, OPRM1, and ABCB1 have been identified, culminating in a heterogeneous response to pain medication in people who have these genetic polymorphisms. Improved treatment regimens that factor in pharmacogenetic differences in patients would help reduce the risk of opioid dependency and help effectively treat postoperative pain.

Indexed as

Analgesics, OpioidPharmacogeneticsHumansPain ManagementPharmacogenomic TestingPostoperative PainAnalgesics, OpioidAcute painChronic painPain managementPharmacogeneticsPharmacogenomicsPostoperative painPrecision medicine

Identifiers

PMID36068475
OpenAlexW4294804765

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.