Evidence map›Paper›PMID 31308726›Full record

ReviewPharmacogenomics and personalized medicine2019

Update on the pharmacogenomics of pain management.

Alan David Kaye, Andrew Jesse Garcia, O Morgan Hall, George M Jeha, Kelsey D Cramer, Amanda L Granier, Anusha Kallurkar, Elyse M Cornett, Richard D Urman

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. General Innovations in Pain Management.Journal of clinical medicine · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Review
  20. The Role of Pharmacogenomics in Opioid Prescribing.Current treatment options in oncology · 2022
    Review
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

9 authors at 5 institutions in 1 country.

Alan David KayeDepartment of Anesthesiology, LSU Health Sciences Center, New Orleans, LA, USA.
Andrew Jesse GarciaDepartment of Anesthesiology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
O Morgan HallDepartment of Anesthesiology, Louisiana State University School of Medicine, New Orleans, LA, USA.
George M JehaDepartment of Anesthesiology, LSU Health Sciences Center New Orleans, New Orleans, LA, USA.
Kelsey D CramerDepartment of Anesthesiology, LSU Health Sciences Center New Orleans, New Orleans, LA, USA.
Amanda L GranierDepartment of Anesthesiology, LSU Health Sciences Center New Orleans, New Orleans, LA, USA.
Anusha KallurkarDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA.
Elyse M CornettDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA.
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Louisiana State University Health Sciences Center New Orleans · USLouisiana State University Health Sciences Center Shreveport · USBrigham and Women's Hospital · USGeorge Washington University · USLouisiana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics is the study of genetic variants that impact drug effects through changes in a drug's pharmacokinetics and pharmacodynamics. Pharmacogenomics is being integrated into clinical pain management practice because variants in individual genes can be predictive of how a patient may respond to a drug treatment. Pain is subjective and is considered challenging to treat. Furthermore, pain patients do not respond to treatments in the same way, which makes it hard to issue a consistent treatment regimen for all pain conditions. Pharmacogenomics would bring consistency to the subjective nature of pain and could revolutionize the field of pain management by providing personalized medical care tailored to each patient based on their gene variants. Additionally, pharmacogenomics offers a solution to the opioid crisis by identifying potentially opioid-vulnerable patients who could be recommended a nonopioid treatment for their pain condition. The integration of pharmacogenomics into clinical practice creates better and safer healthcare practices for patients. In this article, we provide a comprehensive history of pharmacogenomics and pain management, and focus on up to date information on the pharmacogenomics of pain management, describing genes involved in pain, genes that may reduce or guard against pain and discuss specific pain management drugs and their genetic correlations.

Indexed as

anesthesiologygeneticspainpharmacogeneticspharmacogenomicspolymorphism

Identifiers

PMID31308726
PMCPMC6613192
OpenAlexW2953605729

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.