ReviewJournal of clinical pharmacology2019
Suggestions for Model-Informed Precision Dosing to Optimize Neonatal Drug Therapy.
Review in Journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07143201 (Model Informed Precision Dosing of Oral Ibuprofen for Treatment of Persistent Patent Ductus Arteriosus), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Model Informed Precision Dosing of Oral Ibuprofen for Treatment of Persistent Patent Ductus Arteriosus: A Pilot Randomized Controlled Feasibility Trial
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Barriers and Facilitators for Bringing Model-Informed Precision Dosing to the Patient's Bedside: A Systematic Review.Clinical pharmacology and therapeutics · 2025Pooled it
- A qualitative process evaluation of a clinical trial on bedside model-informed precision dosing of vancomycin in critically ill children.International journal of clinical pharmacy · 2026Article
- Neonatal digital twins enable personalized antibiotic dosing for treating suspected sepsis.NPJ digital medicine · 2026Article
- Evolutionary digital twin framework for optimal aminoglycoside dosing in neonates with suspected sepsis.NPJ digital medicine · 2026Article
- The Relationship of Indomethacin Exposure With Efficacy and Renal Toxicity Outcomes for Preterm Infants in the Neonatal Intensive Care Unit.Clinical and translational science · 2025Article
- Neonatal Kidney Function, Injury and Drug Dosing: A Contemporary Review.Children (Basel, Switzerland) · 2025Review
- Review of Precision Medicine and Diagnosis of Neonatal Illness.Diagnostics (Basel, Switzerland) · 2025Review
- [A clinical study on the optimal placement depth for peripherally inserted central catheter through the great saphenous vein in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Article
- Pharmacokinetic and Pharmacodynamic Considerations of Antibiotic Use in Neonates.Antibiotics (Basel, Switzerland) · 2023Review
- Advancing Precision Medicine in Paediatrics: Past, present and future.Cambridge prisms. Precision medicine · 2023Review
- Evaluation of Neonatal and Paediatric Vancomycin Pharmacokinetic Models and the Impact of Maturation and Serum Creatinine Covariates in a Large Multicentre Data Set.Clinical pharmacokinetics · 2023Article
- The OBTAINS study: A nationwide cross-sectional survey on the implementation of extended or continuous infusion of β-lactams and vancomycin among neonatal sepsis patients in China.Frontiers in pharmacology · 2022Article
- Precision Therapy for Invasive Fungal Diseases.Journal of fungi (Basel, Switzerland) · 2021Article
- The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020).Journal of intensive care · 2021Article
- Model-Informed Bayesian Estimation Improves the Prediction of Morphine Exposure in Neonates and Infants.Therapeutic drug monitoring · 2020Article
- Electronic Health Record-Embedded Decision Support Platform for Morphine Precision Dosing in Neonates.Clinical pharmacology and therapeutics · 2020Article
- What Does it Take to Make Model-Informed Precision Dosing Common Practice? Report from the 1st Asian Symposium on Precision Dosing.The AAPS journal · 2019Article
- Drug Disposition and Pharmacotherapy in Neonatal ECMO: From Fragmented Data to Integrated Knowledge.Frontiers in pediatrics · 2019Review
- The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020).Acute medicine & surgeryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Evidence for dosing, efficacy, and safety of most medications used to treat neonates is sparse. Thus, dosing is usually derived by extrapolation from adult and pediatric pharmacologic data with scaling by body weight or body surface area. This may lead to drug dosing that is unsafe or ineffective. However, new strategies are being developed and studied to dose medications in critically ill neonates. Mass spectroscopy technology capable of quickly analyzing drug levels is readily available. Software that integrates population pharmacokinetics and pharmacodynamics with data from sparse samples from neonates allows for timely adjustments of dosing to achieve the desired effect while minimizing adverse outcomes. Some genetic polymorphisms that affect drug response in neonates have also been reported. This review highlights aspects of drug response and how it is impacted by prematurity, assesses pharmacogenomic studies in neonates, and offers suggestions for innovative pharmacokinetic/pharmacodynamic model-based approaches that combine population- or physiology-based pharmacology data, Bayesian analysis, and electronic decision support tools for precision dosing in neonates while illustrating examples where this approach can be used to optimize medical therapy in neonates. Barriers to implementing precision dosing in neonates and how to overcome them are also discussed.
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What OpenQuestion holds
Registered trials
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.