Evidence map›Paper›PMID 26407686›Full record

ArticleEuropean journal of clinical pharmacology2015

Simplification of a pharmacokinetic model for red blood cell methotrexate disposition.

Shan Pan, Julia Korell, Lisa K Stamp, Stephen B Duffull

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Article in European journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 91% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Methotrexate Polyglutamates Analysis by Chromatography Methods in Biological Matrices: A Review.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
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

4 authors at 2 institutions in 2 countries.

Shan PanSchool of Pharmacy, University of Otago, Dunedin, New Zealand. shan.pan@otago.ac.nz.
Julia KorellModel Answers Pty Ltd, Brisbane, Australia.
Lisa K StampDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Stephen B DuffullSchool of Pharmacy, University of Otago, Dunedin, New Zealand.
University of Otago · NZIP Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA pharmacokinetic (PK) model is available for describing the time course of the concentrations of methotrexate (MTX or MTXGlu1) and its active polyglutamated metabolites (MTXGlu2-5) in red blood cells (RBCs). In this study, we aimed to simplify the MTX PK model and to optimise the blood sampling schedules for use in future studies.

methodsA proper lumping technique was used to simplify the original MTX RBC PK model. The sum of predicted RBC MTXGlu3-5 concentrations in both the simplified and original models was compared. The sampling schedules for MTXGlu3-5 or all MTX polyglutamates in RBCs were optimised using the Population OPTimal design (POPT) software.

resultsThe MTX RBC PK model was simplified into a three-state model. The maximum of the absolute value of relative difference in the sum of predicted RBC MTXGlu3-5 concentrations over time was 6.3 %. A five blood sample design was identified for estimating parameters of the simplified model.

conclusionsThis study illustrates the application of model simplification processes to an existing model for MTX RBC PK. The same techniques illustrated in our study may be adopted by other studies with similar interest.

Indexed as

Models, BiologicalAntirheumatic AgentsErythrocytesHumansMethotrexatePolyglutamic AcidSoftwareAntirheumatic AgentsMethotrexatemethotrexate polyglutamatePolyglutamic AcidLumpingMethotrexateOptimal designPharmacokineticStructural identifiability

Identifiers

PMID26407686
OpenAlexW2122788076

What OpenQuestion holds

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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.