Evidence map›Paper›PMID 29330847›Full record

ArticleClinical pharmacology and therapeutics2018

Interchangeability of Generic Drugs: A Nonparametric Pharmacokinetic Model of Gabapentin Generic Drugs.

Pieter J Glerum, Yang Yu, Walter M Yamada, Michael N Neely, Marc Maliepaard, David M Burger, Cees Neef

Abstract readComparative StudyValidation Study
In one paragraph

Article in Clinical pharmacology and therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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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

7 authors.

Pieter J GlerumMedicines Evaluation Board, Utrecht, the Netherlands.
Yang YuMedicines Evaluation Board, Utrecht, the Netherlands.
Walter M YamadaLaboratory of Applied Pharmacokinetics and Bioinformatics, Children's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Michael N NeelyLaboratory of Applied Pharmacokinetics and Bioinformatics, Children's Hospital Los Angeles, University of Southern California, Los Angeles, California, USA.
Marc MaliepaardMedicines Evaluation Board, Utrecht, the Netherlands.
David M BurgerDepartment of Pharmacy, Radboud University Medical Centre, Nijmegen, the Netherlands.
Cees NeefDepartment of Clinical Pharmacy and Toxicology, CARIM, Maastricht University, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substitution by generic drugs is allowed when bioequivalence to the originator drug has been established. However, it is known that similarity in exposure may not be achieved at every occasion for all individual patients when switching between formulations. The ultimate aim of our research is to investigate if pharmacokinetic subpopulations exist when subjects are exposed to bioequivalent formulations. For that purpose, we developed a pharmacokinetic model for gabapentin, based on data from a previously conducted bioavailability study comparing gabapentin exposure following administration of the gabapentin originator and three generic gabapentin formulations in healthy subjects. Both internal and external validation confirmed that the optimal model for description of the gabapentin pharmacokinetics in this comparative bioavailability study was a two-compartment model with absorption constant, an absorption lag time, and clearance adjusted for renal function, in which each model parameter was separately estimated per administered formulation.

Indexed as

Drug SubstitutionModels, BiologicalAdministration, OralAdultComputer SimulationDrugs, GenericFemaleGabapentinGastrointestinal AbsorptionHumansMaleMiddle AgedRenal EliminationReproducibility of ResultsStatistics, NonparametricTherapeutic EquivalencyDrugs, GenericGabapentin

Identifiers

PMID29330847
PMCPMC6220931

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Registered trials

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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.