Evidence map›Paper›PMID 39568428›Full record

ReviewBritish journal of clinical pharmacology2025

Recommended approaches for integration of population pharmacokinetic modelling with precision dosing in clinical practice.

Monika Berezowska, Isaac S Hayden, Andrew M Brandon, Arsenii Zats, Mehzabin Patel, Shelby Barnett, Kayode Ogungbenro, Gareth J Veal, Alaric Taylor, Jugal Suthar

Erratum issuedAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comparing the pharmacokinetics of adalimumab originator and biosimilar product in patients with Inflammatory bowel disease or autoimmune disease.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Differences in clozapine metabolism across geographical regions in Turkiye.Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi · 2025
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Monika BerezowskaVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.
Isaac S HaydenVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.
Andrew M BrandonTranslational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK.
Arsenii ZatsVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.
Mehzabin PatelVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.
Shelby BarnettTranslational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK.
Kayode OgungbenroDivision of Pharmacy & Optometry, School of Health Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-2446-6895
Gareth J VealTranslational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-1897-8678
Alaric TaylorVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.
Jugal SutharVesynta Ltd, Innovation Gateway, The London Cancer Hub, Cotswold Road, Sutton, London, UK.ORCID https://orcid.org/0000-0003-4287-5254

Funding

UKRI 10111236
6 · The paper itself

Abstract

Current methods of dose determination have contributed to suboptimal and inequitable health outcomes in underrepresented patient populations. The persistent demand to individualise patient treatment, alongside increasing technological feasibility, is leading to a growing adoption of model-informed precision dosing (MIPD) at point of care. Population pharmacokinetic (popPK) modelling is a technique that supports treatment personalisation by characterising drug exposure in diverse patient groups. This publication addresses this important shift in clinical approach, by collating and summarising recommendations from literature. It seeks to provide standardised guidelines on best practices for the development of popPK models and their use in MIPD software tools, ensuring the safeguarding and optimisation of patient outcomes. Moreover, it consolidates guidance from key regulatory and advisory bodies on MIPD software deployment, as well as technical requirements for electronic health record integration. It also considers the future application and clinical impact of machine learning algorithms in popPK and MIPD. Ultimately, this publication aims to facilitate the incorporation of high-quality precision-dosing solutions into standard clinical workflows, thereby enhancing the effectiveness of individualised dose selection at point of care.

Indexed as

Models, BiologicalPharmacokineticsPrecision MedicineAlgorithmsDose-Response Relationship, DrugDrug Dosage CalculationsHumansMachine LearningPractice Guidelines as TopicSoftwareModellingpharmacokineticspharmacometricssimulation prescribingtherapeutic drug monitoring

Identifiers

PMID39568428
PMCPMC11992666

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.