Evidence map›Paper›PMID 29468507›Full record

ArticleJournal of anesthesia2018

Impact of clinical factors and UGT1A9 and CYP2B6 genotype on inter-individual differences in propofol pharmacokinetics.

Akihiro Kanaya, Toshihiro Sato, Nobuo Fuse, Hiroaki Yamaguchi, Nariyasu Mano, Masanori Yamauchi

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Article in Journal of anesthesia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Association BetweenPharmacogenomics and personalized medicine · 2026
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  5. Review
  6. Pharmacogenomics and personalized medicine · 2022
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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 at 3 institutions in 1 country.

Akihiro KanayaDepartment of Anesthesiology and Perioperative Medicine, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan. a-kanaya@med.tohoku.ac.jp.
Toshihiro SatoDepartment of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Nobuo FuseDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan.
Hiroaki YamaguchiDepartment of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Nariyasu ManoDepartment of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Masanori YamauchiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Tohoku University Hospital · JPTohoku University · JPTohoku Medical Megabank Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePropofol is one of the most widely used fast-acting intravenously administered anesthetics. However, although large inter-individual differences in dose requirements and recovery time have been observed, there are few previous studies in which the association between several potential covariates, including genetic factors such as the UGT1A9 and CYP2B6 genotypes, and propofol pharmacokinetics was simultaneously examined. This study aimed to identify factors determining propofol pharmacokinetics.

methodsEighty-three patients were enrolled, and their blood samples were collected 1, 5, 10, and 15 min after administering a single intravenous bolus of propofol at a dose of 2.0 ml/kg to measure propofol plasma concentration. Area under the time-plasma concentration curve from zero up to the last measurable time point (AUC

resultsAge, BMI, indocyanine green disappearance ratio (K-ICG), hepatic blood flow (HBF), preoperative hemoglobin level, and sex were correlated with AUC

conclusionsThis study demonstrated that BMI influences propofol pharmacokinetics after its administration as a single intravenous injection, while UGT1A9 and CYP2B6 SNPs, other clinical factors, and hemodynamic variables do not. These results suggest that BMI is an independent factor associated with propofol pharmacokinetics in several potential covariates. CLINICAL TRIALS REGISTRATION NUMBER: University Hospital Medical Information Network (UMIN000022948).

Indexed as

Body Mass IndexGenotypeAdultAgedAnesthetics, IntravenousArea Under CurveCytochrome P-450 CYP2B6FemaleGlucuronosyltransferaseHemoglobinsHumansHypnotics and SedativesInjections, IntravenousLinear ModelsMaleMiddle AgedAnesthetics, IntravenousCYP2B6 protein, humanCytochrome P-450 CYP2B6GlucuronosyltransferaseHemoglobinsHypnotics and SedativesPropofolUDP-Glucuronosyltransferase 1A9UGT1A9 protein, humanBody mass indexCYP2B6PharmacokineticsPropofolSingle-nucleotide polymorphismUGT1A9

Identifiers

PMID29468507
OpenAlexW2788280254

What OpenQuestion holds

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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.