Evidence map›Paper›PMID 23216601›Full record

ReviewBritish journal of clinical pharmacology2013

Optimizing drug development of anti-cancer drugs in children using modelling and simulation.

Johan G C van Hasselt, Natasha K A van Eijkelenburg, Jos H Beijnen, Jan H M Schellens, Alwin D R Huitema

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Johan G C van HasseltDepartment of Clinical Pharmacology, Netherlands Cancer Institute; Department of Pharmacy & Pharmacology, Slotervaart Hospital/Netherlands Cancer Institute, Amsterdam, the Netherlands. jgc.vanhasselt@gmail.com
Natasha K A van Eijkelenburg
Jos H Beijnen
Jan H M Schellens
Alwin D R Huitema
Utrecht University · NLEmma Kinderziekenhuis · NLInstitute of Cancer Research · CAPharmo Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modelling and simulation (M&S)-based approaches have been proposed to support paediatric drug development in order to design and analyze clinical studies efficiently. Development of anti-cancer drugs in the paediatric population is particularly challenging due to ethical and practical constraints. We aimed to review the application of M&S in the development of anti-cancer drugs in the paediatric population, and to identify where M&S-based approaches could provide additional support in paediatric drug development of anti-cancer drugs. A structured literature search on PubMed was performed. The majority of identified M&S-based studies aimed to use population PK modelling approaches to identify determinants of inter-individual variability, in order to optimize dosing regimens and to develop therapeutic drug monitoring strategies. Prospective applications of M&S approaches for PK-bridging studies have scarcely been reported for paediatric oncology. Based on recent developments of M&S in drug development there are several opportunities where M&S could support more informative bridging between children and adults, and increase efficiency of the design and analysis of paediatric clinical trials, which should ultimately lead to further optimization of drug treatment strategies in this population.

Indexed as

Drug DesignAdultAge FactorsAnimalsAntineoplastic AgentsChildClinical Trials as TopicComputer SimulationDose-Response Relationship, DrugDrug MonitoringHumansModels, BiologicalModels, MolecularNeoplasmsAntineoplastic Agents

Identifiers

PMID23216601
PMCPMC3703226
OpenAlexW1511436216

What OpenQuestion holds

Textmetadata
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.