Evidence map›Paper›PMID 33439535›Full record

Trial reportCPT: pharmacometrics & systems pharmacology2021

Model-Informed Pediatric Dose Selection for Dapagliflozin by Incorporating Developmental Changes.

Heeseung Jo, Venkatesh Pilla Reddy, Joanna Parkinson, David W Boulton, Weifeng Tang

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in CPT: pharmacometrics & systems pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Clinical studies of dapagliflozin in pediatric patients: a rapid review.Annals of pediatric endocrinology & metabolism · 2022
    Article
  12. 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 at 4 institutions in 9 countries.

Heeseung JoModelling and Simulation, Early Oncology, Oncology R&D, AstraZeneca, Cambridge, UK.
Venkatesh Pilla ReddyModelling and Simulation, Early Oncology, Oncology R&D, AstraZeneca, Cambridge, UK.
Joanna ParkinsonClinical Pharmacology and Quantitative Pharmacology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
David W BoultonClinical Pharmacology and Quantitative Pharmacology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
Weifeng TangClinical Pharmacology and Quantitative Pharmacology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
AstraZeneca (Singapore) · SGAstraZeneca (Canada) · CAAstraZeneca (Italy) · ITAstraZeneca (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This analysis reports a quantitative modeling and simulation approach for oral dapagliflozin, a primarily uridine diphosphate-glucuronosyltransferase (UGT)-metabolized human sodium-glucose cotransporter 2 selective inhibitor. A mechanistic dapagliflozin physiologically based pharmacokinetic (PBPK) model was developed using in vitro metabolism and clinical pharmacokinetic (PK) data and verified for context of use (e.g., exposure predictions in pediatric subjects aged 1 month to 18 years). Dapagliflozin exposure is challenging to predict in pediatric populations owing to differences in UGT1A9 ontogeny maturation and paucity of clinical PK data in younger age groups. Based on the exposure-response relationship of dapagliflozin, twofold acceptance criteria were applied between model-predicted and observed drug exposures and PK parameters (area under the curve and maximum drug concentration) in various scenarios, including monotherapy in healthy adults (single/multiple dose), monotherapy in hepatically or renally impaired patients, and drug-drug interactions with UGT1A9 modulators, such as mefenamic acid and rifampin. The PBPK model captured the observed exposure within twofold of the observed monotherapy data in adults and adolescents and in special population. As a guide to determining dosing regimens in pediatric studies, the verified PBPK model, along with UGT enzyme ontogeny maturation understanding, was used for predictions of dapagliflozin monotherapy exposures in pediatric subjects aged 1 month to 18 years that best matched exposure in adult patients with a 10-mg single dose of dapagliflozin.

Indexed as

Administration, OralAdolescentAntibiotics, AntitubercularArea Under CurveBenzhydryl CompoundsChildChild, PreschoolComputer SimulationCyclooxygenase InhibitorsDose-Response Relationship, DrugDrug InteractionsFemaleGlucosidesGlucuronosyltransferaseHealthy VolunteersHepatic InsufficiencyAntibiotics, AntitubercularBenzhydryl CompoundsCyclooxygenase InhibitorsdapagliflozinGlucosidesGlucuronosyltransferaseMefenamic AcidRifampinSodium-Glucose Transporter 2 InhibitorsUDP-Glucuronosyltransferase 1A9UGT1A9 protein, human

Identifiers

PMID33439535
PMCPMC7894404
OpenAlexW3119901445

What OpenQuestion holds

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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.