Evidence map›Paper›PMID 32535847›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2020

Prior information for population pharmacokinetic and pharmacokinetic/pharmacodynamic analysis: overview and guidance with a focus on the NONMEM PRIOR subroutine.

Anna H-X P Chan Kwong, Elisa A M Calvier, David Fabre, Florence Gattacceca, Sonia Khier

Abstract readReview
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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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

5 authors.

Anna H-X P Chan KwongPharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France. anna.chankwong@gmail.com.ORCID 0000-0002-1524-7490
Elisa A M CalvierPharmacokinetics-Dynamics and Metabolism (PKDM), Sanofi R&D, Translational Medicine and Early Development, Montpellier, France.
David FabrePharmacokinetics-Dynamics and Metabolism (PKDM), Sanofi R&D, Translational Medicine and Early Development, Montpellier, France.
Florence GattaccecaSMARTc group, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Aix-Marseille University, Marseille, France.
Sonia KhierPharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France.ORCID 0000-0001-6712-8461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population pharmacokinetic analysis is used to estimate pharmacokinetic parameters and their variability from concentration data. Due to data sparseness issues, available datasets often do not allow the estimation of all parameters of the suitable model. The PRIOR subroutine in NONMEM supports the estimation of some or all parameters with values from previous models, as an alternative to fixing them or adding data to the dataset. From a literature review, the best practices were compiled to provide a practical guidance for the use of the PRIOR subroutine in NONMEM. Thirty-three articles reported the use of the PRIOR subroutine in NONMEM, mostly in special populations. This approach allowed fast, stable and satisfying modelling. The guidance provides general advice on how to select the most appropriate reference model when there are several previous models available, and to implement and weight the selected parameter values in the PRIOR function. On the model built with PRIOR, the similarity of estimates with the ones of the reference model and the sensitivity of the model to the PRIOR values should be checked. Covariates could be implemented a priori (from the reference model) or a posteriori, only on parameters estimated without prior (search for new covariates).

Indexed as

Biological Variation, PopulationModels, BiologicalPractice Guidelines as TopicBayes TheoremComputer SimulationDatasets as TopicHumansMarkov ChainsPharmacology, ClinicalSoftwareGuidanceModelNONMEMPharmacokinetic-pharmacodynamicPopulation pharmacokineticsPRIOR

Identifiers

PMID32535847
PMCPMC7520416

What Socratic holds

Textmetadata
LicenceCC BY
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.