Evidence map›Paper›PMID 34185913›Full record

ReviewJournal of clinical pharmacology2021

Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations.

Daniel Gonzalez, Jaydeep Sinha

Open access · greenAbstract readReview
In one paragraph

Review in Journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Review
  8. Article
  9. Enhancing immune regulationFrontiers in immunology · 2024
    Article
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  13. Article
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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

2 authors at 1 institution in 1 country.

Daniel GonzalezDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0001-5522-5686
Jaydeep SinhaDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2110-3370
University of North Carolina at Chapel Hill · US

Funding

Application of Physiologically-Based Pharmacokinetic Modeling to Characterize Drug-Drug Interactions in InfantsR01HD102949 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Daniel Gonzalez · 2021 to 2026
$3.0M
Physiologically-Based Pharmacokinetic Modeling to Guide Drug Dosing in Children with ObesityR01HD096435 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DUMOND, JULIE BRUMER · 2018 to 2022
$2.0M
NICHD NIH HHS R01 HD096435NICHD NIH HHS R01 HD102949
6 · The paper itself

Abstract

Hospitalized pediatric patients and those with complex or chronic conditions treated on an outpatient basis are commonly prescribed multiple drugs, resulting in increased risk for drug-drug interactions (DDIs). Although dedicated DDI evaluations are routinely performed in healthy adult volunteers during drug development, they are rarely performed in pediatric patients because of ethical, logistical, and methodological challenges. In the absence of pediatric DDI evaluations, adult DDI data are often extrapolated to pediatric patients. However, the magnitude of a DDI in pediatric patients may differ from adults because of age-dependent physiological changes that can impact drug disposition or response and because of other factors related to the drug (eg, dose, formulation) and the patient population (eg, disease state, obesity). Therefore, the DDI magnitude needs to be assessed in children separately from adults, although a lack of clinical DDI data in pediatric populations makes this evaluation challenging. As a result, pediatric DDI assessment relies on the predictive performance of the pharmacometric approaches used, such as population and physiologically based pharmacokinetic modeling. Therefore, careful consideration needs to be given to adequately account for the age-dependent physiological changes in these models to build high confidence for such untested DDI scenarios. This review article summarizes the key considerations related to the drug, patient population, and methodology, and how they can impact DDI evaluation in the pediatric population.

Indexed as

Drug InteractionsPediatricsChildComputer SimulationHumansModels, BiologicalPharmaceutical PreparationsPharmacokineticsPharmaceutical Preparationsdrug-drug interactionspediatricspharmacodynamicspharmacokinetics

Identifiers

PMID34185913
PMCPMC8500325
OpenAlexW3174511609

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.