Evidence map›Paper›PMID 37514045›Full record

ArticlePharmaceutics2023

Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping Review.

Paula Del Valle-Moreno, Paloma Suarez-Casillas, Marta Mejías-Trueba, Pablo Ciudad-Gutiérrez, Ana Belén Guisado-Gil, María Victoria Gil-Navarro, Laura Herrera-Hidalgo

Erratum issuedAbstract readScoping Review
In one paragraph

Article in Pharmaceutics, 2023. 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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  7. Article
  8. Review
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  15. [Free online software tools for precision dosing of vancomycin, and other drugs]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. State of Art of Dose Individualization to Support tacrolimus drug monitoring: What's Next?Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Paula Del Valle-MorenoDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.ORCID 0000-0001-5986-9198
Paloma Suarez-CasillasDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.
Marta Mejías-TruebaDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.ORCID 0000-0003-3819-4966
Pablo Ciudad-GutiérrezDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.
Ana Belén Guisado-GilDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.ORCID 0000-0003-0882-9254
María Victoria Gil-NavarroDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.
Laura Herrera-HidalgoDepartment of Pharmacy, University Hospital Virgen del Rocío, 41013 Seville, Spain.ORCID 0000-0002-2307-944X

Funding

Instituto de Salud Carlos III CM21/00115Instituto de Salud Carlos III JR21/00017Instituto de Salud Carlos III JR22/00049
6 · The paper itself

Abstract

backgroundPharmacokinetic nomograms, equations, and software are considered the main tools available for Therapeutic Drug Monitoring (TDM). Model-informed precision dosing (MIPD) is an advanced discipline of TDM that allows dose individualization, and requires a software for knowledge integration and statistical calculations. Due to its precision and extensive applicability, the use of these software is widespread in clinical practice. However, the currently available evidence on these tools remains scarce.

objectivesTo review and summarize the available evidence on MIPD software tools to facilitate its identification, evaluation, and selection by users.

methodsAn electronic literature search was conducted in MEDLINE, EMBASE, OpenAIRE, and BASE before July 2022. The PRISMA-ScR was applied. The main inclusion criteria were studies focused on developing software for use in clinical practice, research, or modelling.

resultsTwenty-eight software were classified as MIPD software. Ten are currently unavailable. The remaining 18 software were described in depth. It is noteworthy that all MIPD software used Bayesian statistical methods to estimate drug exposure and all provided a population model by default, except NONMEN.

conclusionsPharmacokinetic software have become relevant tools for TDM. MIPD software have been compared, facilitating its selection for use in clinical practice. However, it would be interesting to standardize the quality and validate the software tools.

Indexed as

model-informed precision dosingsoftware tooltherapeutic drug monitoring

Identifiers

PMID37514045
PMCPMC10386689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.