Evidence map›Paper›PMID 40524365›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Tutorial for Modeling Delays in Biological Systems in the NONMEM Software.

Robert J Bauer, Wojciech Krzyzanski

Abstract read
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Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Robert J BauerICON Clinical Research, LLC, Blue Bell, Pennsylvania, USA.
Wojciech KrzyzanskiDepartment of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.ORCID https://orcid.org/0000-0001-9773-1739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delays in biological systems are a common phenomenon. The models for delays require specialized mathematical and numerical techniques such as transit compartments, delay differential equations (DDEs), and distributed DDEs (DDDEs). Because of mathematical complexity, DDEs and particularly DDDEs are infrequently used for modeling. DDEs are supported by most pharmacometric programs. Recently, DDDEs have been implemented in NONMEM that greatly improve the applicability of this technique in pharmacokinetic and pharmacodynamic (PKPD) modeling. The objective of this tutorial is to provide examples of PKPD models with delays and demonstrate how to implement them in NONMEM. All examples provide a brief description of the biology and pharmacology underlying model equations, explain how they are coded in the NONMEM control stream, and discuss results of data analysis models were used for. NONMEM codes for all models are presented in supporting information (Data S1). The tutorial concludes with a discussion of the pros and cons of presented delay modeling techniques with guidelines for which one might be preferred given the nature of the delay, available data, and the task to be performed.

Indexed as

Models, BiologicalPharmacokineticsSoftwareComputer SimulationHumansbiostatisticsdelay differential equationsdistributed delay systemsnonlinear modelsNONMEMpharmacometricssoftwaretherapeutics

Identifiers

PMID40524365
PMCPMC12256671

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LicenceCC BY-NC-ND
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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.