Evidence map›Paper›PMID 39290537›Full record

ReviewJournal of advanced pharmaceutical technology & research

Gene polymorphism impact on opioid analgesic usage.

Sry Suryani Widjaja, Muhammad Ichwan, Balram Chowbay, Rusdiana, Tengku Helvi Mardani, Vito Filbert Jayalie

Abstract readReview
In one paragraph

Review in Journal of advanced pharmaceutical technology & research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Sry Suryani WidjajaDepartment of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Muhammad IchwanDepartment of Pharmacology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Balram ChowbayDuke-NUS Medical School, Singapore.
RusdianaDepartment of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Tengku Helvi MardaniDepartment of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Vito Filbert JayalieFaculty of Medicine, Universitas Imelda, Medan, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute pain, moderate-to-severe cancer pain, and persistent malignant pain are all frequently treated with opioids. It is regarded as one of the main tenets of analgesic treatment. The relationship between human opioid sensitivity and genetic polymorphism differences has received little attention up to this point in research. Nonetheless, there is mounting proof that pharmacogenomic diversity could affect how each person reacts to opioids. Finding out how gene polymorphism affects analgesic use is the aim of this investigation, particularly opioids. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses standards were followed in the preparation of the systematic review approach used in this work. Oxycodone, fentanyl, raclopride, tramadol, ketorolac, morphine, ropivacaine, levobupivacaine, subfentanyl, remifentanil, and nortriptyline were the opioid medications used in the study, which was based on 13 publications. From those articles, we reviewed the impact of gene polymorphism on pain management and drug pharmacokinetics. Based on this systematic review, we concluded that gene polymorphism of gene affects analgesic, specifically opioid mechanisms.

Indexed as

Impactopioidpolymorphismusage

Identifiers

PMID39290537
PMCPMC11404436

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.