ArticleClinical pharmacology and therapeutics2020
Electronic Health Record-Embedded Decision Support Platform for Morphine Precision Dosing in Neonates.
Article in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04850079 (Electronic Health Record), which is not on this map. Cited by 23 papers.
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.
Electronic Health Record (EHR)-Embedded Decision Support Platform for Individualized Precision Drug Treatment in Neonates
Who cites it
23 citing papers in PubMed, 51 citations in OpenAlex.
- Design, implementation, and evaluation of neonatal abstinence syndrome care management web application: a multimethod study.Scientific reports · 2026Trial
- Clinical Model-Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients.Clinical pharmacology and therapeutics · 2026Review
- Article
- Rising Role of Artificial Intelligence in Clinical Pharmacometrics and Model-Informed Precision Dosing in Pediatrics.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- The Coming of Age of Model-Informed Precision Therapeutics for Children.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025Article
- Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations.Seminars in perinatology · 2025Review
- Article
- Scoping Review of Paediatric Population Pharmacokinetic Models of Morphine.Clinical pharmacokinetics · 2025Article
- Review of Precision Medicine and Diagnosis of Neonatal Illness.Diagnostics (Basel, Switzerland) · 2025Review
- Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative.Journal of medical systems · 2024Article
- Unveiling Morphine: A Rapid and Selective Fluorescence Sensor for Forensic and Medical Analysis.Sensors (Basel, Switzerland) · 2024Article
- Tutorial on model selection and validation of model input into precision dosing software for model-informed precision dosing.CPT: pharmacometrics & systems pharmacology · 2023Article
- Target attainment and population pharmacokinetics of flucloxacillin in critically ill patients: a multicenter study.Critical care (London, England) · 2023Observational
- Advancing Precision Medicine in Paediatrics: Past, present and future.Cambridge prisms. Precision medicine · 2023Review
- Pain management for necrotizing enterocolitis: getting the balance right.Pediatric research · 2022Article
- Population pharmacokinetic analysis of dexmedetomidine in children using real-world data from electronic health records and remnant specimens.British journal of clinical pharmacology · 2022Article
- Pharmacokinetic Modeling of Hydrocortisone by Including Protein Binding to Corticosteroid-Binding Globulin.Pharmaceutics · 2022Article
- β-lactam precision dosing in critically ill children: Current state and knowledge gaps.Frontiers in pharmacology · 2022Review
- Toward personalized medicine for pharmacological interventions in neonates using vital signs.Paediatric & neonatal pain · 2021Review
- Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications.Yearbook of medical informatics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
Morphine is the opioid most commonly used for neonatal pain management. In intravenous form, it is administered as continuous infusions and intermittent injections, mostly based on empirically established protocols. Inadequate pain control in neonates can cause long-term adverse consequences; however, providing appropriate individualized morphine dosing is particularly challenging due to the interplay of rapid natural physiological changes and multiple life-sustaining procedures in patients who cannot describe their symptoms. At most institutions, morphine dosing in neonates is largely carried out as an iterative process using a wide range of starting doses and then titrating to effect based on clinical response and side effects using pain scores and levels of sedation. Our background data show that neonates exhibit large variability in morphine clearance resulting in a wide range of exposures, which are poorly predicted by dose alone. Here, we describe the development and implementation of an electronic health record-integrated, model-informed decision support platform for the precision dosing of morphine in the management of neonatal pain. The platform supports pharmacokinetic model-informed dosing guidance and has functionality to incorporate real-time drug concentration information. The feedback is inserted directly into prescribers' workflows so that they can make data-informed decisions. The expected outcomes are better clinical efficacy and safety with fewer side effects in the neonatal population.
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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.