Evidence map›Paper›PMID 27221375›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2016

The pharmacokinetics of dexmedetomidine during long-term infusion in critically ill pediatric patients. A Bayesian approach with informative priors.

Paweł Wiczling, Alicja Bartkowska-Śniatkowska, Oliwia Szerkus, Danuta Siluk, Jowita Rosada-Kurasińska, Justyna Warzybok, Agnieszka Borsuk, Roman Kaliszan, Edmund Grześkowiak, Agnieszka Bienert

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Pharmacokinetics of dexmedetomidine during analgosedation in ICU patients.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  8. Review
  9. Multilevel pharmacokinetics-driven modeling of metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2017
    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

10 authors at 2 institutions in 1 country.

Paweł WiczlingDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland. wiczling@gumed.edu.pl.
Alicja Bartkowska-ŚniatkowskaDepartment of Pediatric Anesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Szpitalna Street 27/33, 60572, Poznan, Poland. asniatko@ump.edu.pl.
Oliwia SzerkusDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland.
Danuta SilukDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland.
Jowita Rosada-KurasińskaDepartment of Pediatric Anesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Szpitalna Street 27/33, 60572, Poznan, Poland.
Justyna WarzybokDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poznan, Poland.
Agnieszka BorsukDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland.
Roman KaliszanDepartment of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gdansk, Poland.
Edmund GrześkowiakDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poznan, Poland.
Agnieszka BienertDepartment of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poznan, Poland.
Gdańsk Medical University · PLPoznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to assess the pharmacokinetics of dexmedetomidine in the ICU settings during the prolonged infusion and to compare it with the existing literature data using the Bayesian population modeling with literature-based informative priors. Thirty-eight patients were included in the analysis with concentration measurements obtained at two occasions: first from 0 to 24 h after infusion initiation and second from 0 to 8 h after infusion end. Data analysis was conducted using WinBUGS software. The prior information on dexmedetomidine pharmacokinetics was elicited from the literature study pooling results from a relatively large group of 95 children. A two compartment PK model, with allometrically scaled parameters, maturation of clearance and t-student residual distribution on a log-scale was used to describe the data. The incorporation of time-dependent (different between two occasions) PK parameters improved the model. It was observed that volume of distribution is 1.5-fold higher during the second occasion. There was also an evidence of increased (1.3-fold) clearance for the second occasion with posterior probability equal to 62 %. This work demonstrated the usefulness of Bayesian modeling with informative priors in analyzing pharmacokinetic data and comparing it with existing literature knowledge.

Indexed as

Bayes TheoremModels, BiologicalAlgorithmsChildChild, PreschoolCritical IllnessDexmedetomidineDose-Response Relationship, DrugFemaleHumansHypnotics and SedativesInfantInfusions, IntravenousMaleSoftwareTime FactorsDexmedetomidineHypnotics and SedativesDexmedetomidineInformative priorsPopulation pharmacokineticsWinBUGS

Identifiers

PMID27221375
PMCPMC4886153
OpenAlexW2405110870

What OpenQuestion holds

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LicenceCC BY
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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.