Evidence map›Paper›PMID 39563600›Full record

ArticlePharmacogenomics2024

Impact of genetic variants on fentanyl metabolism in major breast surgery patients: a candidate gene association study.

Shathish Kumar, Kesavan Ramasamy, Harivenkatesh Natarajan, Shravan Venkatraman, Vishnu Eriyat, Pankaj Kundra

Abstract read
In one paragraph

Article in Pharmacogenomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shathish KumarDepartment of Anaesthesiology, Manipal Hospital Whitefield, Bangalore, India.ORCID 0000-0002-9138-7356
Kesavan RamasamyDepartment of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Harivenkatesh NatarajanDepartment of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Shravan VenkatramanDepartment of Clinical Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Vishnu EriyatDepartment of Pharmacology and Clinical Phamacology, Christian Medical College, Vellore, India.
Pankaj KundraDepartment of Anesthesiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe study aimed to examine the association of two selected candidate SNPs rs2242480 (CYP3A4) and rs1045642 (ABCB1) with metabolic ratio of plasma norfentanyl to fentanyl concentrations in patients undergoing major breast surgeries.

methodsThe retrospective cross-sectional study was done in 257 female patients. DNA extraction, genotyping of selected SNPs, and drug levels measurement were employed.

resultsA total of 257 female patients were recruited with no loss to follow up. There was no significant association between the two mentioned SNPs and the metabolic ratio (

conclusionThere was no significant association with the selected candidate SNPs in

Indexed as

Analgesics, OpioidATP Binding Cassette Transporter, Subfamily BCytochrome P-450 CYP3AFentanylPolymorphism, Single NucleotideAdultAgedBreastCross-Sectional StudiesFemaleGenetic Association StudiesGenotypeHumansMiddle AgedPostoperative PainRetrospective StudiesABCB1 protein, humanAnalgesics, OpioidATP Binding Cassette Transporter, Subfamily BCYP3A4 protein, humanCytochrome P-450 CYP3AFentanylFentanylmetabolismnorfentanylpainpersonalized medicinepharmacogeneticspharmacokineticssingle nucleotide polymorphisms

Identifiers

PMID39563600
PMCPMC11703455

What OpenQuestion holds

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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.