Evidence map›Paper›PMID 29236223›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2018

Transit and lifespan in neutrophil production: implications for drug intervention.

Daniel Câmara De Souza, Morgan Craig, Tyler Cassidy, Jun Li, Fahima Nekka, Jacques Bélair, Antony R Humphries

Abstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Review
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  10. Ordinary differential equation approximation of gamma distributed delay model.Journal of pharmacokinetics and pharmacodynamics · 2019
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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.

Daniel Câmara De SouzaDepartment of Mathematics & Statistics, McGill University, Montreal, QC, H3A 0B9, Canada.
Morgan CraigProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138, USA. morganlainecraig@fas.harvard.edu.ORCID http://orcid.org/0000-0003-4852-4770
Tyler CassidyDepartment of Mathematics & Statistics, McGill University, Montreal, QC, H3A 0B9, Canada.
Jun LiFaculté de Pharmacie, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Fahima NekkaFaculté de Pharmacie, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Jacques BélairDépartement de mathématiques et de statistique, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Antony R HumphriesDepartments of Mathematics & Statistics, and Physiology, McGill University, Montreal, QC, H3A 0B9, Canada.

Funding

Centre de recherches mathématiques ID0EVTAG1497Fonds de Recherche du Québec - Nature et Technologies Projet d'équipeNational Institutes of Health DP5OD019851Natural Sciences and Engineering Research Council of Canada Discovery grantNatural Sciences and Engineering Research Council of Canada Industrial Chair in PharmacometricsNatural Sciences and Engineering Research Council of Canada PDFStudent Aid Alberta Sir James Lougheed Award of Distinction
6 · The paper itself

Abstract

A comparison of the transit compartment ordinary differential equation modelling approach to distributed and discrete delay differential equation models is studied by focusing on Quartino's extension to the Friberg transit compartment model of myelosuppression, widely relied upon in the pharmaceutical sciences to predict the neutrophil response after chemotherapy, and on a QSP delay differential equation model of granulopoiesis. An extension to the Quartino model is provided by considering a general number of transit compartments and introducing an extra parameter that allows for the decoupling of the maturation time from the production rate of cells. An overview of the well established linear chain technique, used to reformulate transit compartment models with constant transit rates as distributed delay differential equations (DDEs), is then given. A state-dependent time rescaling of the Quartino model is performed to apply the linear chain technique and rewrite the Quartino model as a distributed DDE, yielding a discrete DDE model in a certain parameter limit. Next, stability and bifurcation analyses are undertaken in an effort to situate such studies in a mathematical pharmacology context. We show that both the original Friberg and the Quartino extension models incorrectly define the mean maturation time, essentially treating the proliferative pool as an additional maturation compartment. This misspecification can have far reaching consequences on the development of future models of myelosuppression in PK/PD.

Indexed as

Models, BiologicalAntineoplastic AgentsBone MarrowCell ProliferationComputer SimulationHematopoiesisHumansNeutrophilsPharmacologyAntineoplastic AgentsBifurcation analysesDelay differential equationsGranulopoiesisLinear chain techniqueMathematical pharmacologyTransit compartment models

Identifiers

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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.