Evidence map›Paper›PMID 25124969›Full record

ReviewWorld journal of pediatrics : WJP2014

Dosage individualization in children: integration of pharmacometrics in clinical practice.

Wei Zhao, Stéphanie Leroux, Evelyne Jacqz-Aigrain

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of pediatrics : WJP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
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

3 authors.

Wei ZhaoDepartment of Clinical Pharmacy, School of Pharmaceutical Sciences, Shandong University, Jinan, 250012, China, wei.zhao@rdb.aphp.fr.
Stéphanie Leroux
Evelyne Jacqz-Aigrain

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren are in a continuous and dynamically changing state of growth and development. A thorough understanding of developmental pharmacokinetics (PK) and pharmacodynamics (PD) is required to optimize drug therapy in children. DATA SOURCES: Based on recent publications and the experience of our group, we present an outline on integrating pharmacometrics in pediatric clinical practice to develop evidence-based personalized pharmacotherapy.

resultsAntibiotics in septic neonates and immunosuppressants in pediatric transplant recipients are provided as proof-of-concept to demonstrate the utility of pharmacometrics in clinical practice. Dosage individualization based on developmental PK-PD model has potential benefits of improving the efficacy and safety of drug therapy in children.

conclusionThe pharmacometric technique should be better developed and used in clinical practice to personalize drug therapy in children in order to decrease variability of drug exposure and associated risks of overdose or underdose.

Indexed as

BacteremiaOrgan TransplantationAnti-Bacterial AgentsChildDose-Response Relationship, DrugDrug Resistance, BacterialEvidence-Based MedicineHumansImmunosuppressive AgentsMathematical ComputingModels, BiologicalModels, TheoreticalTime FactorsAnti-Bacterial AgentsImmunosuppressive Agents

Identifiers

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.