Evidence map›Paper›PMID 34720180›Full record

ArticleJournal of optimization theory and applications2021

OptiDose: Computing the Individualized Optimal Drug Dosing Regimen Using Optimal Control.

Freya Bachmann, Gilbert Koch, Marc Pfister, Gabor Szinnai, Johannes Schropp

Abstract read
In one paragraph

Article in Journal of optimization theory and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Approach to the patient: genetics and management of congenital hypothyroidism.The Journal of clinical endocrinology and metabolism · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Computing optimal drug dosing with OptiDose: implementation in NONMEM.Journal of pharmacokinetics and pharmacodynamics · 2023
    Article
  9. Article
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.

Freya BachmannDepartment of Mathematics and Statistics, University of Konstanz, Konstanz, Germany.ORCID 0000-0002-3246-4120
Gilbert KochPediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, University of Basel, Basel, Switzerland.
Marc PfisterPediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, University of Basel, Basel, Switzerland.
Gabor SzinnaiPediatric Endocrinology and Diabetology, University Children's Hospital Basel, University of Basel, Basel, Switzerland.
Johannes SchroppDepartment of Mathematics and Statistics, University of Konstanz, Konstanz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing the optimal dosing strategy of a drug for an individual patient is an important task in pharmaceutical sciences and daily clinical application. We developed and validated an optimal dosing algorithm (OptiDose) that computes the optimal individualized dosing regimen for pharmacokinetic-pharmacodynamic models in substantially different scenarios with various routes of administration by solving an optimal control problem. The aim is to compute a control that brings the underlying system as closely as possible to a desired reference function by minimizing a cost functional. In pharmacokinetic-pharmacodynamic modeling, the controls are the administered doses and the reference function can be the disease progression. Drug administration at certain time points provides a finite number of discrete controls, the drug doses, determining the drug concentration and its effect on the disease progression. Consequently, rewriting the cost functional gives a finite-dimensional optimal control problem depending only on the doses. Adjoint techniques allow to compute the gradient of the cost functional efficiently. This admits to solve the optimal control problem with robust algorithms such as quasi-Newton methods from finite-dimensional optimization. OptiDose is applied to three relevant but substantially different pharmacokinetic-pharmacodynamic examples.

Indexed as

Individualized optimal drug dosingModel predictive controlOptimal controlPharmacokinetic–pharmacodynamic modelsQuasi-Newton methods

Identifiers

PMID34720180
PMCPMC8550736

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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.